Value ranking

# Best Value LLMs for Knowledge in October 2026

> Best Value LLMs for Knowledge: As of October 2026, Qwen3.7 Flash gives the most knowledge performance per dollar: 48.9 points at a blended $0.06 per million tokens. gpt-os… 133 models ranked with sources.
- Canonical page: https://noometry.com/best/best-value-knowledge
- Last updated: 2026-10-10
- Title: Best Value LLMs for Knowledge (October 2026) | Noometry

As of October 2026, Qwen3.7 Flash gives the most knowledge performance per dollar: 48.9 points at a blended $0.06 per million tokens. gpt-oss-120b is next.

Last verified October 10, 2026

Category score per dollar of blended API price, among models in the top half of the knowledge ranking.

Best Value LLMs for Knowledge: top 10

1.  Qwen3.7 Flash 888.4 pts/$
2.  gpt-oss-120b 603.0 pts/$
3.  Nemotron 3 Nano 30B A3B 437.0 pts/$
4.  Nemotron 3.5 Lightning 429.1 pts/$
5.  Gemma 4 26B A4B IT 427.8 pts/$
6.  Qwen3.5-9B 408.4 pts/$
7.  Granite 4.2 8B 357.6 pts/$
8.  GPT-6 Luna 285.2 pts/$
9.  Hy3 282.7 pts/$
10.  Step 3.5 Flash 264.1 pts/$
11.  05001000

## Full ranking

Best Value LLMs for Knowledge
| # | Model | Score | Input $/M | Output $/M | Points per $ |
| --- | --- | --- | --- | --- | --- |
| 1 | [Qwen3.7 Flash](https://noometry.com/models/qwen3-7-flash) | 48.9 | $0.03 | $0.13 | 888.4 |
| 2 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | 42.4 | $0.037 | $0.17 | 603.0 |
| 3 | [Nemotron 3 Nano 30B A3B](https://noometry.com/models/nemotron-3-nano-30b-a3b) | 38.2 | $0.05 | $0.20 | 437.0 |
| 4 | [Nemotron 3.5 Lightning](https://noometry.com/models/nemotron-3-5-lightning) | 37.5 | $0.05 | $0.20 | 429.1 |
| 5 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) | 45.7 | $0.0675 | $0.23 | 427.8 |
| 6 | [Qwen3.5-9B](https://noometry.com/models/qwen3-5-9b) | 46.0 | $0.10 | $0.15 | 408.4 |
| 7 | [Granite 4.2 8B](https://noometry.com/models/granite-4-2-8b) | 38.4 | $0.06 | $0.25 | 357.6 |
| 8 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | 57.0 | $0.10 | $0.50 | 285.2 |
| 9 | [Hy3](https://noometry.com/models/hy3) | 40.8 | $0.0825 | $0.33 | 282.7 |
| 10 | [Step 3.5 Flash](https://noometry.com/models/step-3-5-flash) | 39.6 | $0.10 | $0.30 | 264.1 |
| 11 | [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | 50.8 | $0.10 | $0.50 | 254.1 |
| 12 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | 37.9 | $0.09 | $0.34 | 248.7 |
| 13 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) | 43.2 | $0.10 | $0.40 | 246.9 |
| 14 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | 58.4 | $0.15 | $0.50 | 245.8 |
| 15 | [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | 42.2 | $0.14 | $0.28 | 240.9 |
| 16 | [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | 40.8 | $0.14 | $0.28 | 233.3 |
| 17 | [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | 40.5 | $0.14 | $0.28 | 231.4 |
| 18 | [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash) | 39.7 | $0.14 | $0.28 | 227.0 |
| 19 | [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super) | 38.9 | $0.08 | $0.45 | 225.3 |
| 20 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | 57.9 | $0.15 | $0.60 | 220.5 |
| 21 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | 55.4 | $0.15 | $0.60 | 211.2 |
| 22 | [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) | 41.8 | $0.12 | $0.50 | 194.4 |
| 23 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) | 51.7 | $0.26 | $0.38 | 178.1 |
| 24 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | 58.5 | $0.20 | $1.20 | 130.1 |
| 25 | [MiniMax-M3](https://noometry.com/models/minimax-m3) | 58.4 | $0.30 | $1.20 | 111.3 |
| 26 | [Trinity Large Thinking](https://noometry.com/models/trinity-large-thinking) | 40.9 | $0.25 | $0.80 | 105.6 |
| 27 | [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) | 43.7 | $0.25 | $0.95 | 102.8 |
| 28 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) | 42.1 | $0.19 | $1.13 | 99.9 |
| 29 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) | 37.5 | $0.24 | $0.90 | 92.7 |
| 30 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) | 51.3 | $0.25 | $1.49 | 92.1 |
| 31 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | 41.9 | $0.20 | $1.25 | 90.5 |
| 32 | [GLM-4.6V](https://noometry.com/models/glm-4-6v) | 38.0 | $0.30 | $0.90 | 84.5 |
| 33 | [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | 43.5 | $0.43 | $0.87 | 80.0 |
| 34 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) | 54.9 | $0.40 | $1.60 | 78.5 |
| 35 | [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | 42.2 | $0.43 | $0.87 | 77.7 |
| 36 | [MiMo-V2-Pro](https://noometry.com/models/mimo-v2-pro) | 41.4 | $0.43 | $0.87 | 76.2 |
| 37 | [Solar Pro4](https://noometry.com/models/solar-pro4) | 39.8 | $0.30 | $1.20 | 75.8 |
| 38 | [Inkling-Small](https://noometry.com/models/inkling-small) | 48.2 | $0.45 | $1.20 | 75.7 |
| 39 | [MiniMax-M2.5](https://noometry.com/models/minimax-m2-5) | 39.2 | $0.30 | $1.20 | 74.7 |
| 40 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) | 41.9 | $0.25 | $1.50 | 74.4 |
| 41 | [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1) | 38.3 | $0.30 | $1.20 | 72.9 |
| 42 | [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) | 37.7 | $0.30 | $1.20 | 71.9 |
| 43 | [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) | 47.8 | $0.25 | $2 | 69.6 |
| 44 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | 45.6 | $0.25 | $2 | 66.4 |
| 45 | [Qwen3 14B](https://noometry.com/models/qwen3-14b) | 39.3 | $0.35 | $1.40 | 64.1 |
| 46 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | 59.5 | $0.66 | $1.98 | 60.1 |
| 47 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | 53.6 | $0.45 | $2.25 | 59.6 |
| 48 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) | 50.1 | $0.30 | $2.50 | 58.9 |
| 49 | [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) | 52.5 | $0.50 | $2.20 | 56.8 |
| 50 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | 58.8 | $0.50 | $3 | 52.3 |
| 51 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | 46.0 | $0.40 | $2.40 | 51.1 |
| 52 | [Nova 2 Lite](https://noometry.com/models/nova-2-lite) | 43.0 | $0.30 | $2.50 | 50.6 |
| 53 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | 74.8 | $0.75 | $3.75 | 49.9 |
| 54 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) | 56.1 | $0.50 | $3 | 49.8 |
| 55 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | 44.5 | $0.50 | $2.15 | 48.7 |
| 56 | [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) | 41.8 | $0.50 | $2 | 47.7 |
| 57 | [GLM-4.7](https://noometry.com/models/glm-4-7) | 47.0 | $0.60 | $2.20 | 47.0 |
| 58 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | 69.7 | $0.75 | $3.75 | 46.5 |
| 59 | [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) | 38.0 | $0.30 | $2.40 | 46.0 |
| 60 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | 67.8 | $0.75 | $3.75 | 45.2 |
| 61 | [GLM-4.5V](https://noometry.com/models/glm-4-5v) | 37.5 | $0.60 | $1.80 | 41.6 |
| 62 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) | 49.6 | $0.70 | $2.80 | 40.5 |
| 63 | [GLM-4.6](https://noometry.com/models/glm-4-6) | 40.2 | $0.60 | $2.20 | 40.2 |
| 64 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) | 53.3 | $0.60 | $3.60 | 39.5 |
| 65 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) | 52.4 | $0.60 | $3.60 | 38.8 |
| 66 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) | 41.6 | $0.99 | $1.49 | 37.3 |
| 67 | [Kimi K2 (Jul 2025)](https://noometry.com/models/kimi-k2) | 37.3 | $0.57 | $2.30 | 37.2 |
| 68 | [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | 40.2 | $0.50 | $3 | 35.7 |
| 69 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) | 38.8 | $0.40 | $3.20 | 35.2 |
| 70 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | 52.8 | $1.25 | $2.50 | 33.8 |
| 71 | [GLM-5](https://noometry.com/models/glm-5) | 52.3 | $1 | $3.20 | 33.7 |
| 72 | [Grok 4.3](https://noometry.com/models/grok-4-3) | 52.5 | $1.25 | $2.50 | 33.6 |
| 73 | [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) | 40.3 | $0.70 | $2.80 | 32.9 |
| 74 | [Qwen3 32B](https://noometry.com/models/qwen3-32b) | 40.0 | $0.70 | $2.80 | 32.7 |
| 75 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | 54.0 | $0.95 | $4 | 31.5 |
| 76 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | 53.5 | $0.95 | $4 | 31.3 |
| 77 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | 51.5 | $0.75 | $4.50 | 30.5 |
| 78 | [Step 5 Preview](https://noometry.com/models/step-5-preview) | 41.2 | $1 | $2.70 | 28.9 |
| 79 | [GLM-5.3](https://noometry.com/models/glm-5-3) | 58.3 | $1.40 | $4.40 | 27.1 |
| 80 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | 54.1 | $1.25 | $4.25 | 27.1 |
| 81 | [GLM-5.2](https://noometry.com/models/glm-5-2) | 57.1 | $1.40 | $4.40 | 26.5 |
| 82 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | 53.1 | $1.25 | $4.25 | 26.5 |
| 83 | [Grok 4.20 Multi-Agent](https://noometry.com/models/grok-4-20-multi-agent) | 40.4 | $1.25 | $2.50 | 25.8 |
| 84 | [GLM-5.1](https://noometry.com/models/glm-5-1) | 54.9 | $1.40 | $4.40 | 25.6 |
| 85 | [o4-mini](https://noometry.com/models/o4-mini) | 43.6 | $1.10 | $4.40 | 22.6 |
| 86 | [Inkling](https://noometry.com/models/inkling) | 55.1 | $1.87 | $4.68 | 21.4 |
| 87 | [GLM-5V-Turbo](https://noometry.com/models/glm-5v-turbo) | 40.6 | $1.20 | $4 | 21.4 |
| 88 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | 42.6 | $1.25 | $4.25 | 21.3 |
| 89 | [Grok 4.6](https://noometry.com/models/grok-4-6) | 63.3 | $2 | $6 | 21.1 |
| 90 | [Grok 4.7](https://noometry.com/models/grok-4-7) | 62.8 | $2 | $6 | 20.9 |
| 91 | [Grok 4.5](https://noometry.com/models/grok-4-5) | 62.3 | $2 | $6 | 20.8 |
| 92 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) | 61.7 | $2 | $6 | 20.6 |
| 93 | [Qwen3 Max](https://noometry.com/models/qwen3-max) | 48.1 | $1.20 | $6 | 20.0 |
| 94 | [o3-mini](https://noometry.com/models/o3-mini) | 38.3 | $1.10 | $4.40 | 19.9 |
| 95 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) | 57.6 | $1.30 | $7.80 | 19.7 |
| 96 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | 66.3 | $1.50 | $9 | 19.6 |
| 97 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | 37.7 | $1 | $5 | 18.8 |
| 98 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | 71.8 | $2 | $10 | 17.9 |
| 99 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | 66.0 | $2 | $10 | 16.5 |
| 100 | [GPT-5](https://noometry.com/models/gpt-5) | 56.6 | $1.25 | $10 | 16.5 |
| 101 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | 61.6 | $2.50 | $7.50 | 16.4 |
| 102 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | 56.0 | $1.25 | $10 | 16.3 |
| 103 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | 64.8 | $2 | $10 | 16.2 |
| 104 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | 71.8 | $2 | $12 | 16.0 |
| 105 | [o3](https://noometry.com/models/o3) | 54.6 | $2 | $8 | 15.6 |
| 106 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | 50.6 | $1.25 | $10 | 14.7 |
| 107 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | 55.6 | $2 | $10 | 13.9 |
| 108 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | 61.2 | $2 | $12 | 13.6 |
| 109 | [Mistral Medium 3.5](https://noometry.com/models/mistral-medium-3-5) | 40.0 | $1.50 | $7.50 | 13.3 |
| 110 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | 59.3 | $1.75 | $14 | 12.3 |
| 111 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | 65.3 | $2.50 | $15 | 11.6 |
| 112 | [Kimi K3](https://noometry.com/models/kimi-k3) | 63.2 | $3 | $15 | 10.5 |
| 113 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | 51.7 | $3 | $15 | 8.6 |
| 114 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | 66.4 | $4 | $20 | 8.3 |
| 115 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | 48.4 | $3 | $15 | 8.1 |
| 116 | [GPT-5.3 Chat](https://noometry.com/models/gpt-5-3-chat) | 38.8 | $1.75 | $14 | 8.1 |
| 117 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | 64.3 | $4 | $20 | 8.0 |
| 118 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | 41.8 | $3 | $15 | 7.0 |
| 119 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | 66.8 | $5 | $25 | 6.7 |
| 120 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | 62.6 | $5 | $25 | 6.3 |
| 121 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | 61.9 | $5 | $25 | 6.2 |
| 122 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | 61.3 | $5 | $25 | 6.1 |
| 123 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | 64.4 | $5 | $30 | 5.7 |
| 124 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | 56.5 | $5 | $25 | 5.6 |
| 125 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | 75.3 | $10 | $50 | 3.8 |
| 126 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | 69.6 | $10 | $50 | 3.5 |
| 127 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | 62.2 | $10 | $50 | 3.1 |
| 128 | [o1](https://noometry.com/models/o1) | 41.5 | $15 | $60 | 1.6 |
| 129 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | 44.0 | $15 | $75 | 1.5 |
| 130 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | 42.0 | $15 | $75 | 1.4 |
| 131 | [GPT-5 Pro](https://noometry.com/models/gpt-5-pro) | 56.7 | $15 | $120 | 1.4 |
| 132 | [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | 68.3 | $30 | $180 | 1.0 |
| 133 | [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | 64.1 | $30 | $180 | 0.9 |

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

## Compare the leaders

-   [Qwen3.7 Flash vs gpt-oss-120b](https://noometry.com/compare/gpt-oss-120b-vs-qwen3-7-flash)
-   [Qwen3.7 Flash vs Nemotron 3 Nano 30B A3B](https://noometry.com/compare/nemotron-3-nano-30b-a3b-vs-qwen3-7-flash)
-   [Qwen3.7 Flash vs Nemotron 3.5 Lightning](https://noometry.com/compare/nemotron-3-5-lightning-vs-qwen3-7-flash)
-   [gpt-oss-120b vs Nemotron 3 Nano 30B A3B](https://noometry.com/compare/gpt-oss-120b-vs-nemotron-3-nano-30b-a3b)
-   [gpt-oss-120b vs Nemotron 3.5 Lightning](https://noometry.com/compare/gpt-oss-120b-vs-nemotron-3-5-lightning)
-   [Nemotron 3 Nano 30B A3B vs Nemotron 3.5 Lightning](https://noometry.com/compare/nemotron-3-5-lightning-vs-nemotron-3-nano-30b-a3b)

## Related rankings

-   [Best Cheap LLMs (Under $1 per Million Tokens)](https://noometry.com/best/cheap)
-   [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 Multimodal](https://noometry.com/best/best-value-multimodal)

## Frequently asked questions

### What is the most cost-effective AI model for knowledge?

As of October 2026, Qwen3.7 Flash gives the most knowledge performance per dollar: 48.9 points at a blended $0.06 per million tokens. gpt-oss-120b is next.

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

Qwen3.7 Flash, gpt-oss-120b, Nemotron 3 Nano 30B A3B, Nemotron 3.5 Lightning, Gemma 4 26B A4B IT, in that order, as of October 2026.

### How is this list ranked?

By score per dollar: the model’s score divided by its blended API price (three parts input to one part output), among models in the top half by score.

### Cite this page

Noometry. (2026). Best Value LLMs for Knowledge. Retrieved October 10, 2026, from https://noometry.com/best/best-value-knowledge

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