API pricing

# LLM API pricing in October 2026

> Compare API prices for 335 AI models: input, output and cached-token rates per million tokens, with benchmark scores next to each price.
- Canonical page: https://noometry.com/llm-pricing
- Last updated: 2026-10-10
- Title: LLM API Pricing October 2026: Cost per Million Tokens

As of October 2026, list prices for the 335 priced models we track range from $0.021 to $150 per million input tokens. The cheapest top-10 model is Claude Sonnet 5.5 at $2 input and $10 output per million tokens.

Last verified October 10, 2026

By provider: [Alibaba (Qwen)](https://noometry.com/llm-pricing/alibaba), [OpenAI](https://noometry.com/llm-pricing/openai), [Google](https://noometry.com/llm-pricing/google), [Anthropic](https://noometry.com/llm-pricing/anthropic), [Meta](https://noometry.com/llm-pricing/meta), [Mistral AI](https://noometry.com/llm-pricing/mistral), [DeepSeek](https://noometry.com/llm-pricing/deepseek), [xAI](https://noometry.com/llm-pricing/xai), [Z.ai (Zhipu)](https://noometry.com/llm-pricing/zai), [Amazon](https://noometry.com/llm-pricing/amazon), [NVIDIA](https://noometry.com/llm-pricing/nvidia), [IBM](https://noometry.com/llm-pricing/ibm), [Microsoft](https://noometry.com/llm-pricing/microsoft), [Tencent](https://noometry.com/llm-pricing/tencent), [Moonshot AI](https://noometry.com/llm-pricing/moonshot), [Xiaomi](https://noometry.com/llm-pricing/xiaomi), [MiniMax](https://noometry.com/llm-pricing/minimax), [StepFun](https://noometry.com/llm-pricing/stepfun), [Cohere](https://noometry.com/llm-pricing/cohere), [Inception](https://noometry.com/llm-pricing/inception), [Thinking Machines Lab](https://noometry.com/llm-pricing/thinking-machines), [Arcee AI](https://noometry.com/llm-pricing/arcee), [ByteDance Seed](https://noometry.com/llm-pricing/bytedance), [Meituan](https://noometry.com/llm-pricing/meituan), [Perplexity](https://noometry.com/llm-pricing/perplexity), [Poolside](https://noometry.com/llm-pricing/poolside), [Upstage](https://noometry.com/llm-pricing/upstage), [AI21 Labs](https://noometry.com/llm-pricing/ai21), [AionLabs](https://noometry.com/llm-pricing/aion-labs), [Ant Group (inclusionAI)](https://noometry.com/llm-pricing/ant-group), [Morph](https://noometry.com/llm-pricing/morph), [Nous Research](https://noometry.com/llm-pricing/nous-research), [Reka](https://noometry.com/llm-pricing/reka), [Sakana AI](https://noometry.com/llm-pricing/sakana)

## Every priced model

Sorted by blended price. Prices in USD per million tokens. [See which models give the most score per dollar →](https://noometry.com/llm-value)

API prices per million tokens
|  | Provider |  |  | Cached input |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- |
| [Ling 3.0 Flash VL](https://noometry.com/models/ling-3-0-flash-vl) (open weights) | Ant Group (inclusionAI) | $0.021 | $0.0616 | $0.0042 | **$0.0312** | 262K | — |
| [Ling 3.0 Flash](https://noometry.com/models/ling-3-0-flash) (open weights) | Ant Group (inclusionAI) | $0.021 | $0.063 | $0.0042 | **$0.0315** | 262K | — |
| [Qwen3-ASR Flash](https://noometry.com/models/qwen3-asr-flash) | Alibaba (Qwen) | $0.035 | $0.035 | — | **$0.035** | 53K | — |
| [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) (open weights) | OpenAI | $0.018 | $0.09 | $0.009 | **$0.036** | 131K | 32.5 |
| [Granite 4.0 Micro](https://noometry.com/models/granite-4-0-micro) (open weights) | IBM | $0.017 | $0.11 | — | **$0.0408** | 131K | 29.0 |
| [Gemma 3 4B](https://noometry.com/models/gemma-3-4b) (open weights) | Google | $0.04 | $0.08 | — | **$0.05** | 131K | 28.1 |
| [Qwen3.7 Flash](https://noometry.com/models/qwen3-7-flash) | Alibaba (Qwen) | $0.03 | $0.13 | $0.003 | **$0.055** | 1M | 39.9 |
| [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) (open weights) | Meta | $0.05 | $0.08 | — | **$0.0575** | 128K | 23.0 |
| [Mistral Small 3](https://noometry.com/models/mistral-small-3) (open weights) | Mistral AI | $0.05 | $0.08 | — | **$0.0575** | 33K | 31.2 |
| [Amazon Nova Micro](https://noometry.com/models/amazon-nova-micro) | Amazon | $0.035 | $0.14 | $0.00875 | **$0.0613** | 128K | 30.4 |
| [Ling 3.0 Flash Fin](https://noometry.com/models/ling-3-0-flash-fin) | Ant Group (inclusionAI) | $0.042 | $0.12 | $0.0084 | **$0.0623** | 262K | — |
| [Ling 3.0 Flash Sante](https://noometry.com/models/ling-3-0-flash-sante) | Ant Group (inclusionAI) | $0.042 | $0.12 | $0.0084 | **$0.0623** | 262K | — |
| [Command R7B](https://noometry.com/models/command-r7b) (open weights) | Cohere | $0.0375 | $0.15 | — | **$0.0656** | 128K | — |
| [Command R7B Arabic](https://noometry.com/models/command-r7b-arabic) (open weights) | Cohere | $0.0375 | $0.15 | — | **$0.0656** | 128K | — |
| [Mercury 2.5](https://noometry.com/models/mercury-2-5) | Inception | $0.04 | $0.15 | $0.004 | **$0.0675** | 260K | 33.5 |
| [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) (open weights) | OpenAI | $0.037 | $0.17 | — | **$0.0703** | 131K | 36.3 |
| [Llama 3.2 1B](https://noometry.com/models/llama-3-2-1b) (open weights) | Meta | $0.027 | $0.20 | — | **$0.0705** | 60K | 20.1 |
| [Laguna XS 2.1](https://noometry.com/models/laguna-xs-2-1) (open weights) | Poolside | $0.06 | $0.12 | $0.03 | **$0.075** | 262K | — |
| [Ministral 3 8B 2512 (batch)](https://noometry.com/models/ministral-3-8b) (open weights) | Mistral AI | $0.075 | $0.075 | $0.0075 | **$0.075** | 128K | — |
| [Gemma 3 12B](https://noometry.com/models/gemma-3-12b) (open weights) | Google | $0.05 | $0.15 | — | **$0.075** | 131K | 32.1 |
| [Hy-MT2-1.8B](https://noometry.com/models/hy-mt2-1-8b) (open weights) | Tencent | $0.044 | $0.18 | — | **$0.0772** | 8K | — |
| [Nemotron 3 Nano 30B A3B](https://noometry.com/models/nemotron-3-nano-30b-a3b) (open weights) | NVIDIA | $0.05 | $0.20 | $0.025 | **$0.0875** | 262K | 40.6 |
| [Nemotron 3.5 Lightning](https://noometry.com/models/nemotron-3-5-lightning) (open weights) | NVIDIA | $0.05 | $0.20 | $0.01 | **$0.0875** | 262K | 40.0 |
| [Phi-4](https://noometry.com/models/phi-4) (open weights) | Microsoft | $0.07 | $0.14 | — | **$0.0875** | 128K | 31.2 |
| [Qwen Turbo](https://noometry.com/models/qwen-turbo) | Alibaba (Qwen) | $0.05 | $0.20 | — | **$0.0875** | 1M | 27.1 |
| [Solar Mini 4](https://noometry.com/models/solar-mini-4) | Upstage | $0.05 | $0.20 | $0.005 | **$0.0875** | 524K | — |
| [Qwen-VL OCR](https://noometry.com/models/qwen-vl-ocr) | Alibaba (Qwen) | $0.07 | $0.16 | — | **$0.0925** | 34K | — |
| [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) (open weights) | Google | $0.08 | $0.16 | — | **$0.10** | 131K | 30.8 |
| [Ministral 3B](https://noometry.com/models/ministral-3b) (open weights) | Mistral AI | $0.10 | $0.10 | $0.01 | **$0.10** | 131K | 26.2 |
| [Reka Edge](https://noometry.com/models/reka-edge) (open weights) | Reka | $0.10 | $0.10 | — | **$0.10** | 16K | — |
| [Amazon Nova Lite](https://noometry.com/models/amazon-nova-lite) | Amazon | $0.06 | $0.24 | $0.015 | **$0.10** | 300K | 31.9 |
| [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) (open weights) | Google | $0.0675 | $0.23 | $0.0375 | **$0.11** | 262K | 43.5 |
| [Granite 4.2 8B](https://noometry.com/models/granite-4-2-8b) (open weights) | IBM | $0.06 | $0.25 | $0.015 | **$0.11** | 131K | 40.5 |
| [Laguna S 2.1](https://noometry.com/models/laguna-s-2-1) (open weights) | Poolside | $0.09 | $0.18 | $0.009 | **$0.11** | 1.05M | — |
| [Qwen3.5-9B](https://noometry.com/models/qwen3-5-9b) (open weights) | Alibaba (Qwen) | $0.10 | $0.15 | — | **$0.11** | 262K | 33.8 |
| [Llama 3.2 3B](https://noometry.com/models/llama-3-2-3b) (open weights) | Meta | $0.05 | $0.33 | — | **$0.12** | 131K | 28.9 |
| [Qwen-Omni Turbo](https://noometry.com/models/qwen-omni-turbo) | Alibaba (Qwen) | $0.07 | $0.27 | — | **$0.12** | 33K | — |
| [Muse Spark 1.2 Contributor](https://noometry.com/models/muse-spark-1-2-contributor) | Meta | $0.10 | $0.20 | $0.002 | **$0.13** | 1.05M | — |
| [Muse Spark 1.3 Contributor](https://noometry.com/models/muse-spark-1-3-contributor) | Meta | $0.10 | $0.20 | $0.002 | **$0.13** | 1.05M | — |
| [Reka Flash 3](https://noometry.com/models/reka-flash-3) (open weights) | Reka | $0.10 | $0.20 | — | **$0.13** | 66K | — |
| [UI-TARS 7B](https://noometry.com/models/ui-tars-7b) (open weights) | ByteDance Seed | $0.10 | $0.20 | $0.10 | **$0.13** | 128K | — |
| [Hy-MT2-30B-A3B](https://noometry.com/models/hy-mt2-30b-a3b) (open weights) | Tencent | $0.074 | $0.29 | — | **$0.13** | 8K | — |
| [Hy-MT2-7B](https://noometry.com/models/hy-mt2-7b) (open weights) | Tencent | $0.074 | $0.29 | — | **$0.13** | 8K | — |
| [Mistral Small 4](https://noometry.com/models/mistral-small-4) (open weights) | Mistral AI | $0.075 | $0.30 | $0.0075 | **$0.13** | 262K | — |
| [Phi-4 Mini](https://noometry.com/models/phi-4-mini) (open weights) | Microsoft | $0.075 | $0.30 | — | **$0.13** | 128K | 30.9 |
| [Seed 1.6 Flash](https://noometry.com/models/seed-1-6-flash) | ByteDance Seed | $0.075 | $0.30 | — | **$0.13** | 262K | — |
| [Mistral Small 3.2](https://noometry.com/models/mistral-small-3-2) (open weights) | Mistral AI | $0.0938 | $0.25 | — | **$0.13** | 256K | 31.2 |
| [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | OpenAI | $0.05 | $0.40 | $0.005 | **$0.14** | 400K | 33.5 |
| [Qwen Flash](https://noometry.com/models/qwen-flash) | Alibaba (Qwen) | $0.05 | $0.40 | — | **$0.14** | 1M | — |
| [Hy3](https://noometry.com/models/hy3) (open weights) | Tencent | $0.0825 | $0.33 | $0.0206 | **$0.14** | 262K | 44.2 |
| [GLM-4.7-Flash](https://noometry.com/models/glm-4-7-flash) (open weights) | Z.ai (Zhipu) | $0.06 | $0.40 | $0.01 | **$0.15** | 200K | 38.8 |
| [Ministral 8B](https://noometry.com/models/ministral-8b) (open weights) | Mistral AI | $0.15 | $0.15 | $0.015 | **$0.15** | 262K | 28.2 |
| [Mistral Nemo](https://noometry.com/models/mistral-nemo) (open weights) | Mistral AI | $0.15 | $0.15 | — | **$0.15** | 128K | 26.4 |
| [Pixtral 12B](https://noometry.com/models/pixtral-12b) (open weights) | Mistral AI | $0.15 | $0.15 | — | **$0.15** | 128K | — |
| [solar-mini](https://noometry.com/models/solar-mini) | Upstage | $0.15 | $0.15 | — | **$0.15** | 33K | — |
| [Devstral Small 2505](https://noometry.com/models/devstral-small) (open weights) | Mistral AI | $0.10 | $0.30 | — | **$0.15** | 128K | 34.3 |
| [Llama 4 Scout](https://noometry.com/models/llama-4-scout) (open weights) | Meta | $0.10 | $0.30 | — | **$0.15** | 128K | 27.7 |
| [Step 3.5 Flash](https://noometry.com/models/step-3-5-flash) (open weights) | StepFun | $0.10 | $0.30 | $0.02 | **$0.15** | 256K | 42.3 |
| [Voxtral Small 24B 2507](https://noometry.com/models/voxtral-small-24b) (open weights) | Mistral AI | $0.10 | $0.30 | — | **$0.15** | 33K | — |
| [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) (open weights) | Google | $0.09 | $0.34 | $0.05 | **$0.15** | 262K | 43.5 |
| [GLM-4.7-FlashX](https://noometry.com/models/glm-4-7-flashx) (open weights) | Z.ai (Zhipu) | $0.07 | $0.40 | $0.01 | **$0.15** | 200K | — |
| [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) (open weights) | Meta | $0.10 | $0.32 | — | **$0.16** | 128K | 30.6 |
| [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super) (open weights) | NVIDIA | $0.08 | $0.45 | — | **$0.17** | 262K | 40.1 |
| [Gemini 2.5 Flash-Lite](https://noometry.com/models/gemini-2-5-flash-lite) | Google | $0.10 | $0.40 | $0.01 | **$0.18** | 1.05M | 37.0 |
| [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | OpenAI | $0.10 | $0.40 | $0.025 | **$0.18** | 1.05M | 27.9 |
| [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash) (open weights) | Xiaomi | $0.14 | $0.28 | $0.0028 | **$0.18** | 262K | 41.3 |
| [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | Xiaomi | $0.14 | $0.28 | $0.0028 | **$0.18** | 262K | 43.6 |
| [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) (open weights) | Xiaomi | $0.14 | $0.28 | $0.0028 | **$0.18** | 1.05M | 43.4 |
| [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) (open weights) | Xiaomi | $0.14 | $0.28 | $0.0028 | **$0.18** | 1.05M | 48.5 |
| [Qwen2.5-Omni 7B](https://noometry.com/models/qwen2-5-omni-7b) (open weights) | Alibaba (Qwen) | $0.10 | $0.40 | — | **$0.18** | 33K | — |
| [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) | Alibaba (Qwen) | $0.10 | $0.40 | $0.01 | **$0.18** | 1M | 42.5 |
| [Seed-2.0-Mini](https://noometry.com/models/seed-2-0-mini) | ByteDance Seed | $0.10 | $0.40 | $0.02 | **$0.18** | 256K | — |
| [Voxtral Small](https://noometry.com/models/voxtral-small) (open weights) | Mistral AI | $0.10 | $0.40 | — | **$0.18** | 33K | — |
| [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | Anthropic | $0.10 | $0.50 | $0.01 | **$0.20** | 1M | 49.5 |
| [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | OpenAI | $0.10 | $0.50 | $0.01 | **$0.20** | 1.05M | 53.3 |
| [GPT-6 Luna Pro](https://noometry.com/models/gpt-6-luna-pro) | OpenAI | $0.10 | $0.50 | $0.01 | **$0.20** | 1.05M | — |
| [Ministral 3 14B 2512](https://noometry.com/models/ministral-3-14b) (open weights) | Mistral AI | $0.20 | $0.20 | $0.02 | **$0.20** | 262K | — |
| [Nemotron 3.5 Content Safety](https://noometry.com/models/nemotron-3-5-content-safety) (open weights) | NVIDIA | $0.20 | $0.20 | — | **$0.20** | 131K | — |
| [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) (open weights) | Alibaba (Qwen) | $0.12 | $0.50 | — | **$0.21** | 41K | 38.9 |
| [Qwen3.8 Flash](https://noometry.com/models/qwen3-8-flash) | Alibaba (Qwen) | $0.15 | $0.47 | $0.016 | **$0.23** | 1M | — |
| [Qwen3.8 Omni Flash](https://noometry.com/models/qwen3-8-omni-flash) | Alibaba (Qwen) | $0.15 | $0.47 | $0.016 | **$0.23** | 1M | — |
| [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) (open weights) | Z.ai (Zhipu) | $0.15 | $0.50 | $0.03 | **$0.24** | 1M | 51.8 |
| [Qwen-MT Turbo](https://noometry.com/models/qwen-mt-turbo) | Alibaba (Qwen) | $0.16 | $0.49 | — | **$0.24** | 16K | — |
| [Hunyuan A13B Instruct](https://noometry.com/models/hunyuan-a13b-instruct) (open weights) | Tencent | $0.14 | $0.57 | — | **$0.25** | 131K | — |
| [Jamba Mini](https://noometry.com/models/jamba-mini) (open weights) | AI21 Labs | $0.20 | $0.40 | — | **$0.25** | 256K | — |
| [Mistral 7B](https://noometry.com/models/mistral-7b) (open weights) | Mistral AI | $0.25 | $0.25 | — | **$0.25** | 8K | 23.0 |
| [Solar Pro 3](https://noometry.com/models/solar-pro-3) | Upstage | $0.25 | $0.25 | — | **$0.25** | 131K | — |
| [solar-pro2](https://noometry.com/models/solar-pro2) | Upstage | $0.25 | $0.25 | — | **$0.25** | 66K | — |
| [Command R](https://noometry.com/models/command-r) (open weights) | Cohere | $0.15 | $0.60 | — | **$0.26** | 128K | 31.4 |
| [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) (open weights) | DeepSeek | $0.15 | $0.60 | $0.003 | **$0.26** | 1M | 53.6 |
| [DeepSeek V4 Flash Vision Exp](https://noometry.com/models/deepseek-v4-flash-vision-exp) (open weights) | DeepSeek | $0.15 | $0.60 | $0.003 | **$0.26** | 1M | — |
| [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) (open weights) | DeepSeek | $0.15 | $0.60 | $0.003 | **$0.26** | 1M | 52.8 |
| [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | OpenAI | $0.15 | $0.60 | $0.075 | **$0.26** | 128K | 25.5 |
| [Mistral Small](https://noometry.com/models/mistral-small) (open weights) | Mistral AI | $0.15 | $0.60 | $0.015 | **$0.26** | 262K | 33.4 |
| [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | xAI | $0.20 | $0.50 | $0.05 | **$0.28** | 128K | 41.4 |
| [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) (open weights) | DeepSeek | $0.26 | $0.38 | $0.13 | **$0.29** | 164K | 44.3 |
| [Qwen3 Coder Next](https://noometry.com/models/qwen3-coder-next) (open weights) | Alibaba (Qwen) | $0.12 | $0.80 | $0.07 | **$0.29** | 262K | 34.3 |
| [Mistral Saba](https://noometry.com/models/saba) | Mistral AI | $0.20 | $0.60 | $0.02 | **$0.30** | 33K | — |
| [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) (open weights) | Meta | $0.19 | $0.65 | $0.05 | **$0.30** | 128K | 30.9 |
| [Qwen2.5 7B Instruct](https://noometry.com/models/qwen2-5-7b-instruct) (open weights) | Alibaba (Qwen) | $0.17 | $0.70 | — | **$0.31** | 131K | 29.0 |
| [Qwen3 8B](https://noometry.com/models/qwen3-8b) (open weights) | Alibaba (Qwen) | $0.18 | $0.70 | — | **$0.31** | 131K | 33.7 |
| [Qwen-VL Plus](https://noometry.com/models/qwen-vl-plus) | Alibaba (Qwen) | $0.21 | $0.63 | — | **$0.32** | 131K | — |
| [Qwen3-VL 30B-A3B](https://noometry.com/models/qwen3-vl-30b-a3b) (open weights) | Alibaba (Qwen) | $0.20 | $0.80 | — | **$0.35** | 131K | — |
| [Mercury 2](https://noometry.com/models/mercury-2) | Inception | $0.25 | $0.75 | $0.025 | **$0.38** | 128K | 39.1 |
| [Mercury Edit 2](https://noometry.com/models/mercury-edit-2) | Inception | $0.25 | $0.75 | $0.025 | **$0.38** | 32K | — |
| [Mistral Large 3](https://noometry.com/models/mistral-large-3) (open weights) | Mistral AI | $0.25 | $0.75 | $0.025 | **$0.38** | 262K | 39.1 |
| [Qwen3 VL 8B Instruct](https://noometry.com/models/qwen3-vl-8b-instruct) (open weights) | Alibaba (Qwen) | $0.25 | $0.75 | $0.12 | **$0.38** | 262K | — |
| [Trinity Large Thinking](https://noometry.com/models/trinity-large-thinking) (open weights) | Arcee AI | $0.25 | $0.80 | $0.06 | **$0.39** | 262K | 38.6 |
| [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) (open weights) | Meta | $0.40 | $0.40 | — | **$0.40** | 128K | 29.6 |
| [Nvidia Llama 3.3 Nemotron Super 49b v1.5](https://noometry.com/models/nvidia-llama-3-3-nemotron-super-49b-v1-5) (open weights) | NVIDIA | $0.40 | $0.40 | — | **$0.40** | 131K | 40.3 |
| [Mistral Small 3.1](https://noometry.com/models/mistral-small-3-1) (open weights) | Mistral AI | $0.35 | $0.56 | — | **$0.40** | 128K | 31.7 |
| [DeepSeek-V3](https://noometry.com/models/deepseek-v3) (open weights) | DeepSeek | $0.24 | $0.90 | $0.14 | **$0.41** | 164K | 39.5 |
| [Step 3.7 Flash](https://noometry.com/models/step-3-7-flash) (open weights) | StepFun | $0.18 | $1.11 | $0.037 | **$0.42** | 256K | 37.3 |
| [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) | Alibaba (Qwen) | $0.19 | $1.13 | — | **$0.42** | 1M | 38.8 |
| [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) (open weights) | DeepSeek | $0.25 | $0.95 | $0.13 | **$0.42** | 164K | 42.8 |
| [GLM-4.5-Air](https://noometry.com/models/glm-4-5-air) (open weights) | Z.ai (Zhipu) | $0.20 | $1.10 | $0.03 | **$0.43** | 131K | 38.9 |
| [MiniMax-01](https://noometry.com/models/minimax-01) (open weights) | MiniMax | $0.20 | $1.10 | — | **$0.43** | 1M | — |
| [Codestral](https://noometry.com/models/codestral) | Mistral AI | $0.30 | $0.90 | $0.03 | **$0.45** | 256K | 30.6 |
| [GLM-4.6V](https://noometry.com/models/glm-4-6v) (open weights) | Z.ai (Zhipu) | $0.30 | $0.90 | — | **$0.45** | 128K | 41.3 |
| [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | OpenAI | $0.20 | $1.20 | $0.02 | **$0.45** | 1.05M | 54.6 |
| [GPT-5.6 Luna Pro](https://noometry.com/models/gpt-5-6-luna-pro) | OpenAI | $0.20 | $1.20 | $0.02 | **$0.45** | 1.05M | — |
| [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) (open weights) | DeepSeek | $0.27 | $1 | — | **$0.45** | 164K | 43.1 |
| [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | OpenAI | $0.20 | $1.25 | $0.02 | **$0.46** | 400K | 41.9 |
| [LongCat 2.0](https://noometry.com/models/longcat-2-0) (open weights) | Meituan | $0.30 | $1.20 | $0.006 | **$0.52** | 1.05M | — |
| [MiniMax M2-her](https://noometry.com/models/minimax-m2-her) | MiniMax | $0.30 | $1.20 | $0.03 | **$0.52** | 66K | — |
| [MiniMax-M2](https://noometry.com/models/minimax-m2) (open weights) | MiniMax | $0.30 | $1.20 | — | **$0.52** | 205K | 37.4 |
| [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1) (open weights) | MiniMax | $0.30 | $1.20 | $0.03 | **$0.52** | 205K | 38.9 |
| [MiniMax-M2.5](https://noometry.com/models/minimax-m2-5) (open weights) | MiniMax | $0.30 | $1.20 | $0.03 | **$0.52** | 205K | 38.3 |
| [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) (open weights) | MiniMax | $0.30 | $1.20 | $0.06 | **$0.52** | 205K | 37.7 |
| [MiniMax-M3](https://noometry.com/models/minimax-m3) (open weights) | MiniMax | $0.30 | $1.20 | $0.06 | **$0.52** | 1M | 43.8 |
| [Muse Glimmer 30B](https://noometry.com/models/muse-glimmer-30b) (open weights) | Meta | $0.30 | $1.20 | $0.04 | **$0.52** | 131K | — |
| [Qwen2.5-VL 7B Instruct](https://noometry.com/models/qwen2-5-vl-7b-instruct) (open weights) | Alibaba (Qwen) | $0.35 | $1.05 | — | **$0.52** | 131K | — |
| [Solar Pro4](https://noometry.com/models/solar-pro4) | Upstage | $0.30 | $1.20 | $0.06 | **$0.52** | 524K | 42.1 |
| [MiMo-V2-Pro](https://noometry.com/models/mimo-v2-pro) | Xiaomi | $0.43 | $0.87 | $0.0036 | **$0.54** | 1.05M | 43.0 |
| [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) (open weights) | Xiaomi | $0.43 | $0.87 | $0.0036 | **$0.54** | 1.05M | 45.2 |
| [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) (open weights) | Xiaomi | $0.43 | $0.87 | $0.0036 | **$0.54** | 1.05M | 50.3 |
| [Qwen3-VL Plus](https://noometry.com/models/qwen3-vl-plus) | Alibaba (Qwen) | $0.20 | $1.60 | — | **$0.55** | 262K | — |
| [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) (open weights) | Alibaba (Qwen) | $0.25 | $1.49 | — | **$0.56** | 262K | 37.6 |
| [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) | Google | $0.25 | $1.50 | $0.025 | **$0.56** | 1.05M | 40.8 |
| [GLM-5.3-FlashX](https://noometry.com/models/glm-5-3-flashx) (open weights) | Z.ai (Zhipu) | $0.37 | $1.25 | $0.075 | **$0.59** | 1M | — |
| [Qwen3 Coder Flash](https://noometry.com/models/qwen3-coder-flash) | Alibaba (Qwen) | $0.30 | $1.50 | — | **$0.60** | 1M | — |
| [Qwen Plus](https://noometry.com/models/qwen-plus) | Alibaba (Qwen) | $0.40 | $1.20 | — | **$0.60** | 1M | 37.1 |
| [Qwen2.5 14B Instruct](https://noometry.com/models/qwen2-5-14b-instruct) (open weights) | Alibaba (Qwen) | $0.35 | $1.40 | — | **$0.61** | 131K | — |
| [Qwen3 14B](https://noometry.com/models/qwen3-14b) (open weights) | Alibaba (Qwen) | $0.35 | $1.40 | — | **$0.61** | 131K | 35.5 |
| [WizardLM-2 8x22B](https://noometry.com/models/wizardlm-2-8x22b) (open weights) | Microsoft | $0.62 | $0.62 | — | **$0.62** | 66K | — |
| [Inkling-Small](https://noometry.com/models/inkling-small) (open weights) | Thinking Machines Lab | $0.45 | $1.20 | $0.10 | **$0.64** | 524K | 46.5 |
| [Gemma 2 27B](https://noometry.com/models/gemma-2-27b) (open weights) | Google | $0.65 | $0.65 | — | **$0.65** | 8K | 29.4 |
| [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | OpenAI | $0.25 | $2 | $0.025 | **$0.69** | 400K | 41.8 |
| [GPT-5.1-Codex-mini](https://noometry.com/models/gpt-5-1-codex-mini) | OpenAI | $0.25 | $2 | $0.025 | **$0.69** | 400K | — |
| [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) (open weights) | Alibaba (Qwen) | $0.25 | $2 | — | **$0.69** | 262K | 42.0 |
| [Seed 1.6](https://noometry.com/models/seed-1-6) | ByteDance Seed | $0.25 | $2 | — | **$0.69** | 262K | — |
| [Seed-2.0-Lite](https://noometry.com/models/seed-2-0-lite) | ByteDance Seed | $0.25 | $2 | — | **$0.69** | 262K | — |
| [Hermes 3 70B Instruct](https://noometry.com/models/hermes-3-70b-instruct) (open weights) | Nous Research | $0.70 | $0.70 | — | **$0.70** | 131K | — |
| [Mixtral 8x7B](https://noometry.com/models/mixtral-8x7b) (open weights) | Mistral AI | $0.70 | $0.70 | — | **$0.70** | 32K | 27.1 |
| [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | OpenAI | $0.40 | $1.60 | $0.10 | **$0.70** | 1.05M | 33.6 |
| [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) | Alibaba (Qwen) | $0.40 | $1.60 | $0.04 | **$0.70** | 1M | 45.3 |
| [Qwen Plus Character (Japanese)](https://noometry.com/models/qwen-plus-character) | Alibaba (Qwen) | $0.50 | $1.40 | — | **$0.72** | 8K | — |
| [Qwen3-Omni Flash](https://noometry.com/models/qwen3-omni-flash) | Alibaba (Qwen) | $0.43 | $1.66 | — | **$0.74** | 66K | — |
| [Qwen2.5-Coder-32B](https://noometry.com/models/qwen2-5-coder-32b) (open weights) | Alibaba (Qwen) | $0.66 | $1 | — | **$0.74** | 33K | 33.4 |
| [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | OpenAI | $0.50 | $1.50 | Free | **$0.75** | 16K | 23.2 |
| [Magistral Small](https://noometry.com/models/magistral-small) (open weights) | Mistral AI | $0.50 | $1.50 | — | **$0.75** | 128K | 30.2 |
| [Devstral 2](https://noometry.com/models/devstral-2) (open weights) | Mistral AI | $0.40 | $2 | — | **$0.80** | 262K | — |
| [Devstral Medium](https://noometry.com/models/devstral-medium) (open weights) | Mistral AI | $0.40 | $2 | — | **$0.80** | 262K | — |
| [Mistral Medium 3](https://noometry.com/models/mistral-medium-3) | Mistral AI | $0.40 | $2 | — | **$0.80** | 131K | — |
| [Mistral Medium 3.1](https://noometry.com/models/mistral-medium-3-1) | Mistral AI | $0.40 | $2 | $0.04 | **$0.80** | 131K | 31.9 |
| [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) (open weights) | Alibaba (Qwen) | $0.30 | $2.40 | — | **$0.82** | 262K | 41.9 |
| [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) | Google | $0.30 | $2.50 | $0.03 | **$0.85** | 1.05M | 39.3 |
| [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) | Google | $0.30 | $2.50 | $0.03 | **$0.85** | 1.05M | 41.5 |
| [Nova 2 Lite](https://noometry.com/models/nova-2-lite) | Amazon | $0.30 | $2.50 | — | **$0.85** | 1M | 39.7 |
| [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale) (open weights) | DeepSeek | $0.58 | $1.68 | — | **$0.85** | 128K | 39.7 |
| [Aion 3.5 Mini](https://noometry.com/models/aion-3-5-mini) | AionLabs | $0.70 | $1.40 | $0.18 | **$0.87** | 262K | — |
| [Aion-3.0-Mini](https://noometry.com/models/aion-3-0-mini) | AionLabs | $0.70 | $1.40 | $0.18 | **$0.87** | 131K | — |
| [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) (open weights) | Alibaba (Qwen) | $0.50 | $2 | — | **$0.88** | 131K | 43.0 |
| [GLM-4.5V](https://noometry.com/models/glm-4-5v) (open weights) | Z.ai (Zhipu) | $0.60 | $1.80 | — | **$0.90** | 64K | 39.8 |
| [Kimi K2.5](https://noometry.com/models/kimi-k2-5) (open weights) | Moonshot AI | $0.45 | $2.25 | $0.07 | **$0.90** | 262K | 48.1 |
| [Qwen3-Coder 30B-A3B Instruct](https://noometry.com/models/qwen3-coder-30b-a3b-instruct) (open weights) | Alibaba (Qwen) | $0.45 | $2.25 | — | **$0.90** | 262K | — |
| [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | Alibaba (Qwen) | $0.40 | $2.40 | — | **$0.90** | 1M | 42.9 |
| [Morph V3 Fast](https://noometry.com/models/morph-v3-fast) | Morph | $0.80 | $1.20 | — | **$0.90** | 82K | — |
| [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | DeepSeek | $0.50 | $2.15 | $0.35 | **$0.91** | 164K | 42.3 |
| [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) (open weights) | NVIDIA | $0.50 | $2.20 | $0.10 | **$0.93** | 262K | 42.5 |
| [MiniMax M1](https://noometry.com/models/minimax-m1) (open weights) | MiniMax | $0.55 | $2.20 | — | **$0.96** | 1M | 40.3 |
| [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) (open weights) | DeepSeek | $0.66 | $1.98 | $0.022 | **$0.99** | 1M | 54.3 |
| [Aion-2.0](https://noometry.com/models/aion-2-0) | AionLabs | $0.80 | $1.60 | $0.20 | **$1** | 131K | — |
| [Aion-RP 1.0 (8B)](https://noometry.com/models/aion-rp-1-0) | AionLabs | $0.80 | $1.60 | — | **$1** | 33K | — |
| [GLM-4.5](https://noometry.com/models/glm-4-5) (open weights) | Z.ai (Zhipu) | $0.60 | $2.20 | $0.11 | **$1** | 131K | 42.0 |
| [GLM-4.6](https://noometry.com/models/glm-4-6) (open weights) | Z.ai (Zhipu) | $0.60 | $2.20 | $0.11 | **$1** | 205K | 41.4 |
| [GLM-4.7](https://noometry.com/models/glm-4-7) (open weights) | Z.ai (Zhipu) | $0.60 | $2.20 | $0.11 | **$1** | 205K | 42.0 |
| [Hermes 3 405B Instruct](https://noometry.com/models/hermes-3-405b-instruct) (open weights) | Nous Research | $1 | $1 | — | **$1** | 131K | — |
| [Seed 2.1 Turbo](https://noometry.com/models/seed-2-1-turbo) | ByteDance Seed | $0.50 | $2.50 | — | **$1** | 262K | — |
| [Sonar](https://noometry.com/models/sonar) | Perplexity | $1 | $1 | — | **$1** | 128K | 38.5 |
| [Kimi K2 (Jul 2025)](https://noometry.com/models/kimi-k2) (open weights) | Moonshot AI | $0.57 | $2.30 | — | **$1** | 262K | 41.2 |
| [Mistral Large 4](https://noometry.com/models/mistral-large-4) | Mistral AI | $0.68 | $2.09 | $0.07 | **$1.03** | 1.05M | 43.1 |
| [MiniMax-M2.5-highspeed](https://noometry.com/models/minimax-m2-5-highspeed) (open weights) | MiniMax | $0.60 | $2.40 | $0.03 | **$1.05** | 205K | — |
| [MiniMax-M2.7-highspeed](https://noometry.com/models/minimax-m2-7-highspeed) (open weights) | MiniMax | $0.60 | $2.40 | $0.06 | **$1.05** | 205K | — |
| [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) (open weights) | Alibaba (Qwen) | $0.40 | $3.20 | — | **$1.10** | 262K | 42.1 |
| [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) (open weights) | Alibaba (Qwen) | $0.99 | $1.49 | $0.99 | **$1.11** | 262K | 46.0 |
| [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | Google | $0.50 | $3 | $0.05 | **$1.13** | 1.05M | 52.3 |
| [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) | Alibaba (Qwen) | $0.50 | $3 | $0.05 | **$1.13** | 1M | 47.5 |
| [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | ByteDance Seed | $0.50 | $3 | $0.10 | **$1.13** | 256K | 43.2 |
| [Seed-2.0-Code](https://noometry.com/models/seed-2-0-code) | ByteDance Seed | $0.50 | $3 | $0.10 | **$1.13** | 256K | — |
| [Hy4 preview](https://noometry.com/models/hy4-preview) (open weights) | Tencent | $0.75 | $2.25 | $0.0378 | **$1.13** | 1.05M | 45.3 |
| [Morph V3 Large](https://noometry.com/models/morph-v3-large) | Morph | $0.90 | $1.90 | — | **$1.15** | 262K | — |
| [QwQ Plus](https://noometry.com/models/qwq-plus) | Alibaba (Qwen) | $0.80 | $2.40 | — | **$1.20** | 131K | — |
| [Qwen2.5 32B Instruct](https://noometry.com/models/qwen2-5-32b-instruct) (open weights) | Alibaba (Qwen) | $0.70 | $2.80 | — | **$1.22** | 131K | 30.1 |
| [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) (open weights) | Alibaba (Qwen) | $0.70 | $2.80 | — | **$1.22** | 131K | 43.5 |
| [Qwen3 32B](https://noometry.com/models/qwen3-32b) (open weights) | Alibaba (Qwen) | $0.70 | $2.80 | — | **$1.22** | 131K | 39.2 |
| [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) (open weights) | Alibaba (Qwen) | $0.70 | $2.80 | — | **$1.22** | 131K | 43.2 |
| [Grok Build 0.1](https://noometry.com/models/grok-build-0-1) | xAI | $1 | $2 | $0.20 | **$1.25** | 256K | 36.4 |
| [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) (open weights) | Alibaba (Qwen) | $0.60 | $3.60 | — | **$1.35** | 262K | 46.0 |
| [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) (open weights) | Alibaba (Qwen) | $0.60 | $3.60 | — | **$1.35** | 262K | 42.2 |
| [Amazon Nova Pro](https://noometry.com/models/amazon-nova-pro) | Amazon | $0.80 | $3.20 | $0.20 | **$1.40** | 300K | 31.0 |
| [Qwen-VL Max](https://noometry.com/models/qwen-vl-max) | Alibaba (Qwen) | $0.80 | $3.20 | — | **$1.40** | 131K | — |
| [Step 5 Preview](https://noometry.com/models/step-5-preview) | StepFun | $1 | $2.70 | $0.05 | **$1.43** | 1.02M | 47.9 |
| [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | Google | $0.75 | $3.75 | $0.075 | **$1.50** | 1.05M | 54.1 |
| [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | Google | $0.75 | $3.75 | $0.075 | **$1.50** | 1.05M | 59.8 |
| [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | Google | $0.75 | $3.75 | $0.075 | **$1.50** | 1.05M | 61.8 |
| [Hermes 4 405B](https://noometry.com/models/hermes-4-405b) (open weights) | Nous Research | $1 | $3 | — | **$1.50** | 131K | — |
| [GLM-5](https://noometry.com/models/glm-5) (open weights) | Z.ai (Zhipu) | $1 | $3.20 | $0.20 | **$1.55** | 205K | 46.1 |
| [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | xAI | $1.25 | $2.50 | $0.20 | **$1.56** | 1M | 48.6 |
| [Grok 4.20 Multi-Agent](https://noometry.com/models/grok-4-20-multi-agent) | xAI | $1.25 | $2.50 | $0.20 | **$1.56** | 1M | 46.2 |
| [Grok 4.3](https://noometry.com/models/grok-4-3) | xAI | $1.25 | $2.50 | $0.20 | **$1.56** | 1M | 43.8 |
| [MiMo-V2.5-Pro-UltraSpeed](https://noometry.com/models/mimo-v2-5-pro-ultraspeed) (open weights) | Xiaomi | $1.30 | $2.61 | $0.0108 | **$1.63** | 1.05M | — |
| [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | OpenAI | $0.75 | $4.50 | $0.075 | **$1.69** | 400K | 45.0 |
| [Kimi K2.6](https://noometry.com/models/kimi-k2-6) (open weights) | Moonshot AI | $0.95 | $4 | $0.16 | **$1.71** | 262K | 47.7 |
| [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) (open weights) | Moonshot AI | $0.95 | $4 | $0.19 | **$1.71** | 262K | 43.3 |
| [Sakana Namazu](https://noometry.com/models/sakana-namazu) | Sakana AI | $0.95 | $4 | $0.15 | **$1.71** | 262K | — |
| [GLM-5-Turbo](https://noometry.com/models/glm-5-turbo) | Z.ai (Zhipu) | $1.20 | $4 | $0.24 | **$1.90** | 200K | — |
| [GLM-5V-Turbo](https://noometry.com/models/glm-5v-turbo) | Z.ai (Zhipu) | $1.20 | $4 | $0.24 | **$1.90** | 200K | 43.8 |
| [o3-mini](https://noometry.com/models/o3-mini) | OpenAI | $1.10 | $4.40 | $0.55 | **$1.93** | 200K | 36.7 |
| [o4-mini](https://noometry.com/models/o4-mini) | OpenAI | $1.10 | $4.40 | $0.28 | **$1.93** | 200K | 41.6 |
| [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | Anthropic | $1 | $5 | $0.10 | **$2** | 200K | 39.5 |
| [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | Meta | $1.25 | $4.25 | $0.15 | **$2** | 1.05M | 49.9 |
| [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | Meta | $1.25 | $4.25 | $0.15 | **$2** | 1.05M | 50.3 |
| [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | Meta | $1.25 | $4.25 | $0.15 | **$2** | 1.05M | 54.8 |
| [Qwen3 Coder Plus](https://noometry.com/models/qwen3-coder-plus) (open weights) | Alibaba (Qwen) | $1 | $5 | — | **$2** | 1.05M | — |
| [QVQ Max](https://noometry.com/models/qvq-max) | Alibaba (Qwen) | $1.20 | $4.80 | — | **$2.10** | 131K | — |
| [GLM-5.1](https://noometry.com/models/glm-5-1) (open weights) | Z.ai (Zhipu) | $1.40 | $4.40 | $0.26 | **$2.15** | 200K | 47.8 |
| [GLM-5.2](https://noometry.com/models/glm-5-2) (open weights) | Z.ai (Zhipu) | $1.40 | $4.40 | $0.26 | **$2.15** | 1M | 51.1 |
| [GLM-5.3](https://noometry.com/models/glm-5-3) (open weights) | Z.ai (Zhipu) | $1.40 | $4.40 | $0.26 | **$2.15** | 1M | 54.8 |
| [Qwen3 Max](https://noometry.com/models/qwen3-max) | Alibaba (Qwen) | $1.20 | $6 | — | **$2.40** | 262K | 43.7 |
| [Qwen2.5 72B Instruct](https://noometry.com/models/qwen2-5-72b-instruct) (open weights) | Alibaba (Qwen) | $1.40 | $5.60 | — | **$2.45** | 131K | 31.9 |
| [Inkling](https://noometry.com/models/inkling) (open weights) | Thinking Machines Lab | $1.87 | $4.68 | $0.37 | **$2.57** | 66K | 44.1 |
| [Magistral Medium](https://noometry.com/models/magistral-medium) (open weights) | Mistral AI | $2 | $5 | — | **$2.75** | 262K | 35.2 |
| [Qwen Max](https://noometry.com/models/qwen-max) | Alibaba (Qwen) | $1.60 | $6.40 | — | **$2.80** | 33K | 34.7 |
| [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) | Alibaba (Qwen) | $1.30 | $7.80 | $0.13 | **$2.92** | 262K | 51.5 |
| [Fugu Max](https://noometry.com/models/fugu-max) | Sakana AI | $2 | $6 | $0.25 | **$3** | 1M | — |
| [Grok 4.5](https://noometry.com/models/grok-4-5) | xAI | $2 | $6 | $0.30 | **$3** | 500K | 55.0 |
| [Grok 4.6](https://noometry.com/models/grok-4-6) | xAI | $2 | $6 | $0.50 | **$3** | 500K | 56.9 |
| [Grok 4.7](https://noometry.com/models/grok-4-7) | xAI | $2 | $6 | $0.50 | **$3** | 500K | 53.1 |
| [Mistral Large](https://noometry.com/models/mistral-large) (open weights) | Mistral AI | $2 | $6 | — | **$3** | 131K | 31.9 |
| [Mistral Medium](https://noometry.com/models/mistral-medium) (open weights) | Mistral AI | $1.50 | $7.50 | $0.15 | **$3** | 262K | 36.3 |
| [Mistral Medium 3.5](https://noometry.com/models/mistral-medium-3-5) (open weights) | Mistral AI | $1.50 | $7.50 | — | **$3** | 262K | 40.2 |
| [Mixtral 8x22B](https://noometry.com/models/mixtral-8x22b) (open weights) | Mistral AI | $2 | $6 | — | **$3** | 64K | 27.1 |
| [Nano Banana 2.1](https://noometry.com/models/nano-banana-2-1) | Google | $1.50 | $7.50 | — | **$3** | 131K | — |
| [Pixtral Large](https://noometry.com/models/pixtral-large) (open weights) | Mistral AI | $2 | $6 | — | **$3** | 128K | 32.2 |
| [Qwen3-Coder 480B-A35B Instruct](https://noometry.com/models/qwen3-coder-480b-a35b-instruct) (open weights) | Alibaba (Qwen) | $1.50 | $7.50 | — | **$3** | 262K | 38.1 |
| [Qwen3.8 2.4T A95B](https://noometry.com/models/qwen3-8-2-4t-a95b) (open weights) | Alibaba (Qwen) | $2 | $6 | $0.20 | **$3** | 262K | — |
| [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) | Alibaba (Qwen) | $2 | $6 | $0.25 | **$3** | 1M | 56.8 |
| [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | Google | $1.50 | $9 | $0.15 | **$3.38** | 1.05M | 54.2 |
| [Kimi K2.7 Code HighSpeed](https://noometry.com/models/kimi-k2-7-code-highspeed) (open weights) | Moonshot AI | $1.90 | $8 | $0.38 | **$3.42** | 262K | — |
| [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | Google | $1.25 | $10 | $0.13 | **$3.44** | 1.05M | 45.0 |
| [GPT-5](https://noometry.com/models/gpt-5) | OpenAI | $1.25 | $10 | $0.13 | **$3.44** | 400K | 50.9 |
| [GPT-5-Codex](https://noometry.com/models/gpt-5-codex) | OpenAI | $1.25 | $10 | $0.13 | **$3.44** | 400K | 37.9 |
| [GPT-5.1](https://noometry.com/models/gpt-5-1) | OpenAI | $1.25 | $10 | $0.13 | **$3.44** | 400K | 49.0 |
| [GPT-5.1-Codex](https://noometry.com/models/gpt-5-1-codex) | OpenAI | $1.25 | $10 | $0.13 | **$3.44** | 400K | 38.6 |
| [GPT-4.1](https://noometry.com/models/gpt-4-1) | OpenAI | $2 | $8 | $0.50 | **$3.50** | 1.05M | 35.9 |
| [Jamba Large](https://noometry.com/models/jamba-large) (open weights) | AI21 Labs | $2 | $8 | — | **$3.50** | 256K | — |
| [o3](https://noometry.com/models/o3) | OpenAI | $2 | $8 | $0.50 | **$3.50** | 200K | 47.5 |
| [Sonar Deep Research](https://noometry.com/models/sonar-deep-research) | Perplexity | $2 | $8 | — | **$3.50** | 128K | — |
| [Sonar Reasoning Pro](https://noometry.com/models/sonar-reasoning-pro) | Perplexity | $2 | $8 | — | **$3.50** | 128K | — |
| [Qwen-MT Plus](https://noometry.com/models/qwen-mt-plus) | Alibaba (Qwen) | $2.46 | $7.37 | — | **$3.69** | 16K | — |
| [Aion 3.5](https://noometry.com/models/aion-3-5) | AionLabs | $3 | $6 | $0.75 | **$3.75** | 262K | — |
| [Aion-3.0](https://noometry.com/models/aion-3-0) | AionLabs | $3 | $6 | $0.75 | **$3.75** | 131K | — |
| [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | Alibaba (Qwen) | $2.50 | $7.50 | $0.50 | **$3.75** | 1M | 51.5 |
| [Step 1 (32K)](https://noometry.com/models/step-1) | StepFun | $2.05 | $9.59 | $0.41 | **$3.93** | 33K | — |
| [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | Anthropic | $2 | $10 | $0.20 | **$4** | 1M | 54.6 |
| [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | Anthropic | $2 | $10 | $0.10 | **$4** | 1M | 61.9 |
| [GPT-5.6 Sol Pro](https://noometry.com/models/gpt-5-6-sol-pro) | OpenAI | $2 | $10 | $0.20 | **$4** | 1.05M | — |
| [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | OpenAI | $2 | $10 | $0.20 | **$4** | 1.05M | 61.8 |
| [GPT-6 Sol Pro](https://noometry.com/models/gpt-6-sol-pro) | OpenAI | $2 | $10 | $0.20 | **$4** | 1.05M | — |
| [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | OpenAI | $2 | $10 | $0.10 | **$4** | 1.05M | 65.6 |
| [GPT-6.1 Sol Pro](https://noometry.com/models/gpt-6-1-sol-pro) | OpenAI | $2 | $10 | $0.10 | **$4** | 1.05M | — |
| [Qwen2.5-VL 72B Instruct](https://noometry.com/models/qwen2-5-vl-72b-instruct) (open weights) | Alibaba (Qwen) | $2.80 | $8.40 | — | **$4.20** | 131K | 29.9 |
| [GLM 5.3 Prime](https://noometry.com/models/glm-5-3-prime) | Z.ai (Zhipu) | $2.80 | $8.80 | $0.56 | **$4.30** | 1M | — |
| [Command A](https://noometry.com/models/command-a) (open weights) | Cohere | $2.50 | $10 | — | **$4.38** | 256K | 36.5 |
| [Command A Plus](https://noometry.com/models/command-a-plus) (open weights) | Cohere | $2.50 | $10 | — | **$4.38** | 128K | — |
| [Command A Translate](https://noometry.com/models/command-a-translate) (open weights) | Cohere | $2.50 | $10 | — | **$4.38** | 8K | — |
| [Command A Vision](https://noometry.com/models/command-a-vision) (open weights) | Cohere | $2.50 | $10 | — | **$4.38** | 128K | — |
| [Command R+](https://noometry.com/models/command-r-plus) (open weights) | Cohere | $2.50 | $10 | — | **$4.38** | 128K | 32.4 |
| [GPT-4o](https://noometry.com/models/gpt-4o) | OpenAI | $2.50 | $10 | $1.25 | **$4.38** | 128K | 28.6 |
| [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | Google | $2 | $12 | $0.20 | **$4.50** | 1.05M | 56.7 |
| [Gemini 3.1 Pro Preview Custom Tools](https://noometry.com/models/gemini-3-1-pro-preview-custom-tools) | Google | $2 | $12 | $0.20 | **$4.50** | 1.05M | — |
| [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | OpenAI | $2 | $12 | $0.20 | **$4.50** | 1.05M | 59.2 |
| [GPT-5.6 Terra Pro](https://noometry.com/models/gpt-5-6-terra-pro) | OpenAI | $2 | $12 | $0.20 | **$4.50** | 1.05M | — |
| [GPT-5.2](https://noometry.com/models/gpt-5-2) | OpenAI | $1.75 | $14 | $0.17 | **$4.81** | 400K | 54.1 |
| [GPT-5.2 Codex](https://noometry.com/models/gpt-5-2-codex) | OpenAI | $1.75 | $14 | $0.17 | **$4.81** | 400K | 42.6 |
| [GPT-5.3 Chat](https://noometry.com/models/gpt-5-3-chat) | OpenAI | $1.75 | $14 | $0.17 | **$4.81** | 128K | 42.8 |
| [GPT-5.3 Codex](https://noometry.com/models/gpt-5-3-codex) | OpenAI | $1.75 | $14 | $0.17 | **$4.81** | 400K | 45.8 |
| [GPT-5.3 Codex Spark](https://noometry.com/models/gpt-5-3-codex-spark) | OpenAI | $1.75 | $14 | $0.17 | **$4.81** | 128K | — |
| [Nova Premier 1.0](https://noometry.com/models/nova-premier-1-0) | Amazon | $2.50 | $12.50 | $0.63 | **$5** | 1M | 38.3 |
| [MiMo-V2.6-Pro-UltraSpeed](https://noometry.com/models/mimo-v2-6-pro-ultraspeed) (open weights) | Xiaomi | $4.35 | $8.70 | $0.036 | **$5.44** | 1.05M | — |
| [GPT-5.4](https://noometry.com/models/gpt-5-4) | OpenAI | $2.50 | $15 | $0.25 | **$5.63** | 1.05M | 59.4 |
| [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | Anthropic | $3 | $15 | $0.30 | **$6** | 200K | 40.8 |
| [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | Anthropic | $3 | $15 | $0.30 | **$6** | 200K | 44.1 |
| [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | Anthropic | $3 | $15 | $0.30 | **$6** | 1M | 50.3 |
| [Kimi K3](https://noometry.com/models/kimi-k3) (open weights) | Moonshot AI | $3 | $15 | $0.30 | **$6** | 1.05M | 59.5 |
| [Qwen3.8 Max Prime](https://noometry.com/models/qwen3-8-max-prime) | Alibaba (Qwen) | $4 | $12 | $0.50 | **$6** | 1M | — |
| [Sonar Pro](https://noometry.com/models/sonar-pro) | Perplexity | $3 | $15 | — | **$6** | 200K | — |
| [Sonar Pro Search](https://noometry.com/models/sonar-pro-search) | Perplexity | $3 | $15 | — | **$6** | 200K | — |
| [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | Anthropic | $4 | $20 | $0.20 | **$8** | 1M | 68.6 |
| [GPT-5.6](https://noometry.com/models/gpt-5-6) | OpenAI | $4 | $20 | $0.40 | **$8** | 1.05M | — |
| [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | OpenAI | $4 | $20 | $0.40 | **$8** | 1.05M | 65.0 |
| [Step 2 (16K)](https://noometry.com/models/step-2) | StepFun | $5.21 | $16.44 | $1.04 | **$8.02** | 16K | — |
| [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | Anthropic | $5 | $25 | $0.50 | **$10** | 200K | 50.5 |
| [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | Anthropic | $5 | $25 | $0.50 | **$10** | 1M | 58.2 |
| [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | Anthropic | $5 | $25 | $0.50 | **$10** | 1M | 58.3 |
| [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | Anthropic | $5 | $25 | $0.50 | **$10** | 1M | 60.7 |
| [Claude Opus 5](https://noometry.com/models/claude-opus-5) | Anthropic | $5 | $25 | $0.50 | **$10** | 1M | 67.8 |
| [Fugu Ultra](https://noometry.com/models/fugu-ultra) | Sakana AI | $5 | $30 | $0.50 | **$11.25** | 1M | — |
| [GPT-5.5](https://noometry.com/models/gpt-5-5) | OpenAI | $5 | $30 | $0.50 | **$11.25** | 1.05M | 63.4 |
| [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | OpenAI | $10 | $30 | — | **$15** | 128K | 30.5 |
| [Claude Fable 5](https://noometry.com/models/claude-fable-5) | Anthropic | $10 | $50 | $1 | **$20** | 1M | 66.8 |
| [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | Anthropic | $10 | $50 | $0.25 | **$20** | 1M | 69.0 |
| [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | OpenAI | $10 | $50 | $1 | **$20** | 1.05M | 70.8 |
| [GPT-6 Astra Pro](https://noometry.com/models/gpt-6-astra-pro) | OpenAI | $10 | $50 | $1 | **$20** | 1.05M | — |
| [o1](https://noometry.com/models/o1) | OpenAI | $15 | $60 | $7.50 | **$26.25** | 200K | 40.9 |
| [Claude Opus 4](https://noometry.com/models/claude-opus-4) | Anthropic | $15 | $75 | $1.50 | **$30** | 200K | 43.1 |
| [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | Anthropic | $15 | $75 | $1.50 | **$30** | 200K | 41.0 |
| [o3-pro](https://noometry.com/models/o3-pro) | OpenAI | $20 | $80 | — | **$35** | 200K | 42.9 |
| [GPT-4](https://noometry.com/models/gpt-4) | OpenAI | $30 | $60 | — | **$37.50** | 8K | 29.1 |
| [GPT-5 Pro](https://noometry.com/models/gpt-5-pro) | OpenAI | $15 | $120 | — | **$41.25** | 400K | 46.4 |
| [GPT-5.2 Pro](https://noometry.com/models/gpt-5-2-pro) | OpenAI | $21 | $168 | — | **$57.75** | 400K | 52.3 |
| [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | OpenAI | $30 | $180 | — | **$67.50** | 1.05M | 58.9 |
| [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | OpenAI | $30 | $180 | — | **$67.50** | 1.05M | 64.3 |
| [o1-pro](https://noometry.com/models/o1-pro) | OpenAI | $150 | $600 | — | **$263** | 200K | 31.5 |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Frequently asked questions

### What is the cheapest LLM API?

Among ranked models, gpt-oss-20b has the lowest blended price at $0.036 per million tokens (three parts input to one part output).

### How much does a top model cost per million tokens?

The median top-10 model costs $11.25 per million tokens blended; the median across all ranked models is $0.96.

### What does "blended price" mean?

A single number for comparing models: three parts input price to one part output price, which matches a typical chat or RAG workload. Output-heavy work such as long generation costs more than the blended figure suggests.

### Where do these prices come from?

Each price is the model creator's published list price, read from their pricing page or API catalog; reseller routes are listed on each model page. Every price shows the date we last checked it.

### Cite this page

Noometry. (2026). LLM API pricing. Retrieved October 10, 2026, from https://noometry.com/llm-pricing

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/llm-pricing.md).