Value ranking

# Best Cheap LLMs (Under $1 per Million Tokens) in October 2026

> Best Cheap LLMs (Under $1 per Million Tokens): As of October 2026, GPT-5.6 Luna leads the Noometry Index with a score of 54.6, ahead of DeepSeek V4 Pro at 54.3. The two are close enough t… 115 models ranked with sources.
- Canonical page: https://noometry.com/best/cheap
- Last updated: 2026-10-10
- Title: Best Cheap LLMs (Under $1 per Million Tokens) (October 2026)

As of October 2026, GPT-5.6 Luna leads the Noometry Index with a score of 54.6, ahead of DeepSeek V4 Pro at 54.3. The two are close enough that new results could swap them.

Last verified October 10, 2026

Ranked models with a blended list price of $1 or less per million tokens (three parts input to one part output).

Best Cheap LLMs (Under $1 per Million Tokens): top 10

1.  GPT-5.6 Luna 54.6
2.  DeepSeek V4 Pro 54.3
3.  DeepSeek V4 Flash 53.6
4.  GPT-6 Luna 53.3
5.  DeepSeek V4.1 Flash 52.8
6.  GLM-5.3-Flash 51.8
7.  MiMo-V2.6-Pro 50.3
8.  Claude Haiku 5.5 49.5
9.  MiMo-V2.6-Flash 48.5
10.  Kimi K2.5 48.1
11.  464850525456

## Full ranking

   115 models

Best Cheap LLMs (Under $1 per Million Tokens)
|  |  |  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | OpenAI [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 54.6 | $0.20 | $1.20 | 121 | 12 |
| 2 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 1M | 54.3 | $0.66 | $1.98 | 54.9 | 16 |
| 3 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 1M | 53.6 | $0.15 | $0.60 | 204 | 6 |
| 4 | OpenAI [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 53.3 | $0.10 | $0.50 | 266 | — |
| 5 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 1M | 52.8 | $0.15 | $0.60 | 201 | — |
| 6 | Z.ai (Zhipu) [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 1M | 51.8 | $0.15 | $0.50 | 218 | — |
| 7 | Xiaomi [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | Open | 1.05M | 50.3 | $0.43 | $0.87 | 92.5 | — |
| 8 | Anthropic [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 49.5 | $0.10 | $0.50 | 247 | — |
| 9 | Xiaomi [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | Open | 1.05M | 48.5 | $0.14 | $0.28 | 277 | — |
| 10 | Moonshot AI [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | Open | 262K | 48.1 | $0.45 | $2.25 | 53.4 | 66 |
| 11 | T Thinking Machines Lab [Inkling-Small](https://noometry.com/models/inkling-small) | [Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | Open | 524K | 46.5 | $0.45 | $1.20 | 72.9 | — |
| 12 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 45.3 | $0.40 | $1.60 | 64.8 | — |
| 13 | Xiaomi [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | Open | 1.05M | 45.2 | $0.43 | $0.87 | 83.2 | — |
| 14 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 44.3 | $0.26 | $0.38 | 153 | 16 |
| 15 |  ![](/logos/tencent.svg) Tencent [Hy3](https://noometry.com/models/hy3) | [Tencent](https://noometry.com/providers/tencent) | Open | 262K | 44.2 | $0.0825 | $0.33 | 306 | — |
| 16 |  ![](/logos/minimax.svg) MiniMax [MiniMax-M3](https://noometry.com/models/minimax-m3) | [MiniMax](https://noometry.com/providers/minimax) | Open | 1M | 43.8 | $0.30 | $1.20 | 83.4 | — |
| 17 | Xiaomi [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | [Xiaomi](https://noometry.com/providers/xiaomi) | Proprietary | 262K | 43.6 | $0.14 | $0.28 | 249 | — |
| 18 |  ![](/logos/google.svg) Google [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | [Google](https://noometry.com/providers/google) | Open | 262K | 43.5 | $0.09 | $0.34 | 286 | 3 |
| 19 |  ![](/logos/google.svg) Google [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) | [Google](https://noometry.com/providers/google) | Open | 262K | 43.5 | $0.0675 | $0.23 | 407 | — |
| 20 | Xiaomi [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | [Xiaomi](https://noometry.com/providers/xiaomi) | Open | 1.05M | 43.4 | $0.14 | $0.28 | 248 | — |
| 21 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 43.1 | $0.27 | $1 | 95.4 | 30 |
| 22 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 43.0 | $0.50 | $2 | 49.2 | 111 |
| 23 | Xiaomi [MiMo-V2-Pro](https://noometry.com/models/mimo-v2-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | Proprietary | 1.05M | 43.0 | $0.43 | $0.87 | 79 | — |
| 24 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 42.9 | $0.40 | $2.40 | 47.6 | — |
| 25 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 42.8 | $0.25 | $0.95 | 101 | 328 |
| 26 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 42.5 | $0.10 | $0.40 | 243 | — |
| 27 |  ![](/logos/nvidia.svg) NVIDIA [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | 262K | 42.5 | $0.50 | $2.20 | 45.9 | — |
| 28 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | [DeepSeek](https://noometry.com/providers/deepseek) | Proprietary | 164K | 42.3 | $0.50 | $2.15 | 46.4 | 10 |
| 29 |  ![](/logos/stepfun.svg) StepFun [Step 3.5 Flash](https://noometry.com/models/step-3-5-flash) | [StepFun](https://noometry.com/providers/stepfun) | Open | 256K | 42.3 | $0.10 | $0.30 | 282 | — |
| 30 |  ![](/logos/upstage.svg) Upstage [Solar Pro4](https://noometry.com/models/solar-pro4) | [Upstage](https://noometry.com/providers/upstage) | Proprietary | 524K | 42.1 | $0.30 | $1.20 | 80.2 | — |
| 31 | Z.ai (Zhipu) [GLM-4.5](https://noometry.com/models/glm-4-5) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 131K | 42.0 | $0.60 | $2.20 | 42 | 32 |
| 32 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 42.0 | $0.25 | $2 | 61 | — |
| 33 | Z.ai (Zhipu) [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 205K | 42.0 | $0.60 | $2.20 | 42 | — |
| 34 | OpenAI [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 41.9 | $0.20 | $1.25 | 90.6 | 19 |
| 35 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 41.9 | $0.30 | $2.40 | 50.7 | — |
| 36 | OpenAI [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 41.8 | $0.25 | $2 | 60.9 | 3 |
| 37 |  ![](/logos/google.svg) Google [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 41.5 | $0.30 | $2.50 | 48.8 | — |
| 38 | Z.ai (Zhipu) [GLM-4.6](https://noometry.com/models/glm-4-6) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 205K | 41.4 | $0.60 | $2.20 | 41.4 | 12 |
| 39 | xAI [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | [xAI](https://noometry.com/providers/xai) | Proprietary | 128K | 41.4 | $0.20 | $0.50 | 150 | — |
| 40 | Z.ai (Zhipu) [GLM-4.6V](https://noometry.com/models/glm-4-6v) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 128K | 41.3 | $0.30 | $0.90 | 91.8 | — |
| 41 | Xiaomi [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | Open | 262K | 41.3 | $0.14 | $0.28 | 236 | — |
| 42 |  ![](/logos/google.svg) Google [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 40.8 | $0.25 | $1.50 | 72.5 | 10 |
| 43 |  ![](/logos/nvidia.svg) NVIDIA [Nemotron 3 Nano 30B A3B](https://noometry.com/models/nemotron-3-nano-30b-a3b) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | 262K | 40.6 | $0.05 | $0.20 | 464 | — |
| 44 | IBM [Granite 4.2 8B](https://noometry.com/models/granite-4-2-8b) | [IBM](https://noometry.com/providers/ibm) | Open | 131K | 40.5 | $0.06 | $0.25 | 377 | — |
| 45 |  ![](/logos/minimax.svg) MiniMax [MiniMax M1](https://noometry.com/models/minimax-m1) | [MiniMax](https://noometry.com/providers/minimax) | Open | 1M | 40.3 | $0.55 | $2.20 | 41.9 | — |
| 46 |  ![](/logos/nvidia.svg) NVIDIA [Nvidia Llama 3.3 Nemotron Super 49b v1.5](https://noometry.com/models/nvidia-llama-3-3-nemotron-super-49b-v1-5) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | 131K | 40.3 | $0.40 | $0.40 | 101 | — |
| 47 |  ![](/logos/nvidia.svg) NVIDIA [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | 262K | 40.1 | $0.08 | $0.45 | 233 | — |
| 48 |  ![](/logos/nvidia.svg) NVIDIA [Nemotron 3.5 Lightning](https://noometry.com/models/nemotron-3-5-lightning) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | 262K | 40.0 | $0.05 | $0.20 | 457 | — |
| 49 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.7 Flash](https://noometry.com/models/qwen3-7-flash) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 39.9 | $0.03 | $0.13 | 726 | — |
| 50 | Z.ai (Zhipu) [GLM-4.5V](https://noometry.com/models/glm-4-5v) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 64K | 39.8 | $0.60 | $1.80 | 44.2 | 34 |
| 51 | Amazon [Nova 2 Lite](https://noometry.com/models/nova-2-lite) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 1M | 39.7 | $0.30 | $2.50 | 46.7 | — |
| 52 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 128K | 39.7 | $0.58 | $1.68 | 46.4 | — |
| 53 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3](https://noometry.com/models/deepseek-v3) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 39.5 | $0.24 | $0.90 | 97.5 | 73 |
| 54 |  ![](/logos/google.svg) Google [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 39.3 | $0.30 | $2.50 | 46.2 | 152 |
| 55 | Inception [Mercury 2](https://noometry.com/models/mercury-2) | [Inception](https://noometry.com/providers/inception) | Proprietary | 128K | 39.1 | $0.25 | $0.75 | 104 | — |
| 56 |  ![](/logos/mistral.svg) Mistral AI [Mistral Large 3](https://noometry.com/models/mistral-large-3) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 39.1 | $0.25 | $0.75 | 104 | 7 |
| 57 | Z.ai (Zhipu) [GLM-4.5-Air](https://noometry.com/models/glm-4-5-air) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 131K | 38.9 | $0.20 | $1.10 | 91.6 | 160 |
| 58 |  ![](/logos/minimax.svg) MiniMax [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1) | [MiniMax](https://noometry.com/providers/minimax) | Open | 205K | 38.9 | $0.30 | $1.20 | 74.2 | — |
| 59 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 41K | 38.9 | $0.12 | $0.50 | 181 | 42 |
| 60 | Z.ai (Zhipu) [GLM-4.7-Flash](https://noometry.com/models/glm-4-7-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 200K | 38.8 | $0.06 | $0.40 | 268 | — |
| 61 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 38.8 | $0.19 | $1.13 | 91.9 | — |
| 62 |  ![](/logos/arcee.svg) Arcee AI [Trinity Large Thinking](https://noometry.com/models/trinity-large-thinking) | [Arcee AI](https://noometry.com/providers/arcee) | Open | 262K | 38.6 | $0.25 | $0.80 | 99.7 | — |
| 63 |  ![](/logos/perplexity.svg) Perplexity [Sonar](https://noometry.com/models/sonar) | [Perplexity](https://noometry.com/providers/perplexity) | Proprietary | 128K | 38.5 | $1 | $1 | 38.5 | — |
| 64 |  ![](/logos/minimax.svg) MiniMax [MiniMax-M2.5](https://noometry.com/models/minimax-m2-5) | [MiniMax](https://noometry.com/providers/minimax) | Open | 205K | 38.3 | $0.30 | $1.20 | 73 | 49 |
| 65 |  ![](/logos/minimax.svg) MiniMax [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) | [MiniMax](https://noometry.com/providers/minimax) | Open | 205K | 37.7 | $0.30 | $1.20 | 71.9 | — |
| 66 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 37.6 | $0.25 | $1.49 | 67.5 | — |
| 67 |  ![](/logos/minimax.svg) MiniMax [MiniMax-M2](https://noometry.com/models/minimax-m2) | [MiniMax](https://noometry.com/providers/minimax) | Open | 205K | 37.4 | $0.30 | $1.20 | 71.2 | 17 |
| 68 |  ![](/logos/stepfun.svg) StepFun [Step 3.7 Flash](https://noometry.com/models/step-3-7-flash) | [StepFun](https://noometry.com/providers/stepfun) | Open | 256K | 37.3 | $0.18 | $1.11 | 89.6 | — |
| 69 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen Plus](https://noometry.com/models/qwen-plus) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 37.1 | $0.40 | $1.20 | 61.8 | 37 |
| 70 |  ![](/logos/google.svg) Google [Gemini 2.5 Flash-Lite](https://noometry.com/models/gemini-2-5-flash-lite) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 37.0 | $0.10 | $0.40 | 211 | 172 |
| 71 | OpenAI [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | Open | 131K | 36.3 | $0.037 | $0.17 | 517 | 55 |
| 72 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 14B](https://noometry.com/models/qwen3-14b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 35.5 | $0.35 | $1.40 | 57.9 | 79 |
| 73 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 Coder Next](https://noometry.com/models/qwen3-coder-next) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 34.3 | $0.12 | $0.80 | 118 | — |
| 74 |  ![](/logos/mistral.svg) Mistral AI [Devstral Small 2505](https://noometry.com/models/devstral-small) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 34.3 | $0.10 | $0.30 | 229 | 88 |
| 75 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5-9B](https://noometry.com/models/qwen3-5-9b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 33.8 | $0.10 | $0.15 | 300 | — |
| 76 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 8B](https://noometry.com/models/qwen3-8b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 33.7 | $0.18 | $0.70 | 109 | — |
| 77 | OpenAI [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 33.6 | $0.40 | $1.60 | 48.1 | 86 |
| 78 | OpenAI [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 33.5 | $0.05 | $0.40 | 244 | 4 |
| 79 | Inception [Mercury 2.5](https://noometry.com/models/mercury-2-5) | [Inception](https://noometry.com/providers/inception) | Proprietary | 260K | 33.5 | $0.04 | $0.15 | 496 | — |
| 80 |  ![](/logos/mistral.svg) Mistral AI [Mistral Small](https://noometry.com/models/mistral-small) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 33.4 | $0.15 | $0.60 | 127 | 120 |
| 81 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5-Coder-32B](https://noometry.com/models/qwen2-5-coder-32b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 33K | 33.4 | $0.66 | $1 | 44.8 | — |
| 82 | OpenAI [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | [OpenAI](https://noometry.com/providers/openai) | Open | 131K | 32.5 | $0.018 | $0.09 | 903 | 96 |
| 83 |  ![](/logos/google.svg) Google [Gemma 3 12B](https://noometry.com/models/gemma-3-12b) | [Google](https://noometry.com/providers/google) | Open | 131K | 32.1 | $0.05 | $0.15 | 428 | — |
| 84 | Amazon [Amazon Nova Lite](https://noometry.com/models/amazon-nova-lite) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 300K | 31.9 | $0.06 | $0.24 | 304 | — |
| 85 |  ![](/logos/mistral.svg) Mistral AI [Mistral Medium 3.1](https://noometry.com/models/mistral-medium-3-1) | [Mistral AI](https://noometry.com/providers/mistral) | Proprietary | 131K | 31.9 | $0.40 | $2 | 39.8 | — |
| 86 |  ![](/logos/mistral.svg) Mistral AI [Mistral Small 3.1](https://noometry.com/models/mistral-small-3-1) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 31.7 | $0.35 | $0.56 | 78.8 | — |
| 87 |  ![](/logos/cohere.svg) Cohere [Command R](https://noometry.com/models/command-r) | [Cohere](https://noometry.com/providers/cohere) | Open | 128K | 31.4 | $0.15 | $0.60 | 120 | — |
| 88 |  ![](/logos/mistral.svg) Mistral AI [Mistral Small 3](https://noometry.com/models/mistral-small-3) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 33K | 31.2 | $0.05 | $0.08 | 543 | — |
| 89 |  ![](/logos/microsoft.svg) Microsoft [Phi-4](https://noometry.com/models/phi-4) | [Microsoft](https://noometry.com/providers/microsoft) | Open | 128K | 31.2 | $0.07 | $0.14 | 357 | — |
| 90 |  ![](/logos/mistral.svg) Mistral AI [Mistral Small 3.2](https://noometry.com/models/mistral-small-3-2) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 256K | 31.2 | $0.0938 | $0.25 | 235 | 68 |
| 91 |  ![](/logos/meta.svg) Meta [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 30.9 | $0.19 | $0.65 | 102 | 456 |
| 92 |  ![](/logos/microsoft.svg) Microsoft [Phi-4 Mini](https://noometry.com/models/phi-4-mini) | [Microsoft](https://noometry.com/providers/microsoft) | Open | 128K | 30.9 | $0.075 | $0.30 | 235 | — |
| 93 |  ![](/logos/google.svg) Google [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) | [Google](https://noometry.com/providers/google) | Open | 131K | 30.8 | $0.08 | $0.16 | 308 | 62 |
| 94 |  ![](/logos/mistral.svg) Mistral AI [Codestral](https://noometry.com/models/codestral) | [Mistral AI](https://noometry.com/providers/mistral) | Proprietary | 256K | 30.6 | $0.30 | $0.90 | 68 | 271 |
| 95 |  ![](/logos/meta.svg) Meta [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 30.6 | $0.10 | $0.32 | 197 | — |
| 96 | Amazon [Amazon Nova Micro](https://noometry.com/models/amazon-nova-micro) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 128K | 30.4 | $0.035 | $0.14 | 496 | — |
| 97 |  ![](/logos/mistral.svg) Mistral AI [Magistral Small](https://noometry.com/models/magistral-small) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 30.2 | $0.50 | $1.50 | 40.3 | 0 |
| 98 |  ![](/logos/meta.svg) Meta [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 29.6 | $0.40 | $0.40 | 74.1 | — |
| 99 |  ![](/logos/google.svg) Google [Gemma 2 27B](https://noometry.com/models/gemma-2-27b) | [Google](https://noometry.com/providers/google) | Open | 8K | 29.4 | $0.65 | $0.65 | 45.2 | — |
| 100 | IBM [Granite 4.0 Micro](https://noometry.com/models/granite-4-0-micro) | [IBM](https://noometry.com/providers/ibm) | Open | 131K | 29.0 | $0.017 | $0.11 | 713 | — |
| 101 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5 7B Instruct](https://noometry.com/models/qwen2-5-7b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 29.0 | $0.17 | $0.70 | 94.6 | — |
| 102 |  ![](/logos/meta.svg) Meta [Llama 3.2 3B](https://noometry.com/models/llama-3-2-3b) | [Meta](https://noometry.com/providers/meta) | Open | 131K | 28.9 | $0.05 | $0.33 | 241 | — |
| 103 |  ![](/logos/mistral.svg) Mistral AI [Ministral 8B](https://noometry.com/models/ministral-8b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 28.2 | $0.15 | $0.15 | 188 | — |
| 104 |  ![](/logos/google.svg) Google [Gemma 3 4B](https://noometry.com/models/gemma-3-4b) | [Google](https://noometry.com/providers/google) | Open | 131K | 28.1 | $0.04 | $0.08 | 563 | 72 |
| 105 | OpenAI [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 27.9 | $0.10 | $0.40 | 159 | 135 |
| 106 |  ![](/logos/meta.svg) Meta [Llama 4 Scout](https://noometry.com/models/llama-4-scout) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 27.7 | $0.10 | $0.30 | 184 | 272 |
| 107 |  ![](/logos/mistral.svg) Mistral AI [Mixtral 8x7B](https://noometry.com/models/mixtral-8x7b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 32K | 27.1 | $0.70 | $0.70 | 38.8 | — |
| 108 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen Turbo](https://noometry.com/models/qwen-turbo) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 27.1 | $0.05 | $0.20 | 310 | — |
| 109 |  ![](/logos/mistral.svg) Mistral AI [Mistral Nemo](https://noometry.com/models/mistral-nemo) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 26.4 | $0.15 | $0.15 | 176 | — |
| 110 |  ![](/logos/mistral.svg) Mistral AI [Ministral 3B](https://noometry.com/models/ministral-3b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 131K | 26.2 | $0.10 | $0.10 | 262 | — |
| 111 | OpenAI [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 128K | 25.5 | $0.15 | $0.60 | 97.2 | 120 |
| 112 | OpenAI [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 16K | 23.2 | $0.50 | $1.50 | 31 | — |
| 113 |  ![](/logos/mistral.svg) Mistral AI [Mistral 7B](https://noometry.com/models/mistral-7b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 8K | 23.0 | $0.25 | $0.25 | 92.2 | — |
| 114 |  ![](/logos/meta.svg) Meta [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 23.0 | $0.05 | $0.08 | 400 | — |
| 115 |  ![](/logos/meta.svg) Meta [Llama 3.2 1B](https://noometry.com/models/llama-3-2-1b) | [Meta](https://noometry.com/providers/meta) | Open | 60K | 20.1 | $0.027 | $0.20 | 286 | — |

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

## Compare the leaders

-   [GPT-5.6 Luna vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-gpt-5-6-luna)
-   [GPT-5.6 Luna vs DeepSeek V4 Flash](https://noometry.com/compare/deepseek-v4-flash-vs-gpt-5-6-luna)
-   [GPT-5.6 Luna vs GPT-6 Luna](https://noometry.com/compare/gpt-5-6-luna-vs-gpt-6-luna)
-   [DeepSeek V4 Pro vs DeepSeek V4 Flash](https://noometry.com/compare/deepseek-v4-flash-vs-deepseek-v4-pro)
-   [DeepSeek V4 Pro vs GPT-6 Luna](https://noometry.com/compare/deepseek-v4-pro-vs-gpt-6-luna)
-   [DeepSeek V4 Flash vs GPT-6 Luna](https://noometry.com/compare/deepseek-v4-flash-vs-gpt-6-luna)

## Related rankings

-   [Best Value LLMs](https://noometry.com/best/best-value-overall)
-   [Best Value LLMs for Coding](https://noometry.com/best/best-value-coding)
-   [Best Value LLMs for Agentic & Tool Use](https://noometry.com/best/best-value-agentic)
-   [Best Value LLMs for Reasoning](https://noometry.com/best/best-value-reasoning)
-   [Best Value LLMs for Math](https://noometry.com/best/best-value-math)
-   [Best Value LLMs for Knowledge](https://noometry.com/best/best-value-knowledge)
-   [Best Value LLMs for Multimodal](https://noometry.com/best/best-value-multimodal)

## Frequently asked questions

### What is the best cheap AI model?

As of October 2026, GPT-5.6 Luna leads the Noometry Index with a score of 54.6, ahead of DeepSeek V4 Pro at 54.3. The two are close enough that new results could swap them.

### What are the top 5 in this ranking?

GPT-5.6 Luna, DeepSeek V4 Pro, DeepSeek V4 Flash, GPT-6 Luna, DeepSeek V4.1 Flash, in that order, as of October 2026.

### How is this list ranked?

By the Noometry Index, which is fitted from every public benchmark result and adjusted for how hard each benchmark is. Models need several independent results to be ranked.

### Cite this page

Noometry. (2026). Best Cheap LLMs (Under $1 per Million Tokens). Retrieved October 10, 2026, from https://noometry.com/best/cheap

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