Value ranking

# Best Value LLMs for Reasoning in October 2026

> Best Value LLMs for Reasoning: As of October 2026, Qwen3.7 Flash gives the most reasoning performance per dollar: 28.2 points at a blended $0.05 per million tokens. Nemotr… 126 models ranked with sources.
- Canonical page: https://noometry.com/best/best-value-reasoning
- Last updated: 2026-10-11
- Title: Best Value LLMs for Reasoning (October 2026) | Noometry

As of October 2026, Qwen3.7 Flash gives the most reasoning performance per dollar: 28.2 points at a blended $0.05 per million tokens. Nemotron 3 Nano 30B A3B is next.

Last verified October 11, 2026

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

Best Value LLMs for Reasoning: top 10

1.  Qwen3.7 Flash 512.2 pts/$
2.  Nemotron 3 Nano 30B A3B 310.1 pts/$
3.  Nemotron 3.5 Lightning 306.6 pts/$
4.  Granite 4.2 8B 247.6 pts/$
5.  GPT-6 Luna 241.1 pts/$
6.  MiMo-V2.6-Flash 208.3 pts/$
7.  DeepSeek V4 Flash 204.6 pts/$
8.  GLM-5.3-Flash 201.9 pts/$
9.  Qwen3.5-Flash 192.8 pts/$
10.  DeepSeek V4.1 Flash 191.1 pts/$
11.  0200400600

## Full ranking

Best Value LLMs for Reasoning
| # | Model | Score | Input $/M | Output $/M | Points per $ |
| --- | --- | --- | --- | --- | --- |
| 1 | [Qwen3.7 Flash](https://noometry.com/models/qwen3-7-flash) | 28.2 | $0.03 | $0.13 | 512.2 |
| 2 | [Nemotron 3 Nano 30B A3B](https://noometry.com/models/nemotron-3-nano-30b-a3b) | 27.1 | $0.05 | $0.20 | 310.1 |
| 3 | [Nemotron 3.5 Lightning](https://noometry.com/models/nemotron-3-5-lightning) | 26.8 | $0.05 | $0.20 | 306.6 |
| 4 | [Granite 4.2 8B](https://noometry.com/models/granite-4-2-8b) | 26.6 | $0.06 | $0.25 | 247.6 |
| 5 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | 48.2 | $0.10 | $0.50 | 241.1 |
| 6 | [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | 36.5 | $0.14 | $0.28 | 208.3 |
| 7 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | 53.7 | $0.15 | $0.60 | 204.6 |
| 8 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | 48.0 | $0.15 | $0.50 | 201.9 |
| 9 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) | 33.7 | $0.10 | $0.40 | 192.8 |
| 10 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | 50.2 | $0.15 | $0.60 | 191.1 |
| 11 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | 27.2 | $0.09 | $0.34 | 178.4 |
| 12 | [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | 35.2 | $0.10 | $0.50 | 175.9 |
| 13 | [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | 29.7 | $0.14 | $0.28 | 169.9 |
| 14 | [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | 28.6 | $0.14 | $0.28 | 163.7 |
| 15 | [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | 43.4 | $0.20 | $0.50 | 157.6 |
| 16 | [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash) | 24.9 | $0.14 | $0.28 | 142.1 |
| 17 | [Hy3](https://noometry.com/models/hy3) | 26.1 | $0.13 | $0.53 | 113.5 |
| 18 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | 47.6 | $0.20 | $1.20 | 105.9 |
| 19 | [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | 43.1 | $0.43 | $0.87 | 79.4 |
| 20 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) | 29.0 | $0.19 | $1.13 | 68.7 |
| 21 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) | 41.0 | $0.04 | $2.30 | 67.8 |
| 22 | [Nvidia Llama 3.3 Nemotron Super 49b v1.5](https://noometry.com/models/nvidia-llama-3-3-nemotron-super-49b-v1-5) | 26.8 | $0.40 | $0.40 | 67.0 |
| 23 | [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) | 27.9 | $0.25 | $0.95 | 65.7 |
| 24 | [Mercury 2](https://noometry.com/models/mercury-2) | 23.8 | $0.25 | $0.75 | 63.5 |
| 25 | [GLM-4.6V](https://noometry.com/models/glm-4-6v) | 27.6 | $0.30 | $0.90 | 61.4 |
| 26 | [Inkling-Small](https://noometry.com/models/inkling-small) | 38.6 | $0.45 | $1.20 | 60.6 |
| 27 | [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) | 26.4 | $0.27 | $1 | 58.4 |
| 28 | [MiniMax-M3](https://noometry.com/models/minimax-m3) | 30.1 | $0.30 | $1.20 | 57.3 |
| 29 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | 56.5 | $0.66 | $1.98 | 57.0 |
| 30 | [GLM-4.5-Air](https://noometry.com/models/glm-4-5-air) | 24.1 | $0.20 | $1.10 | 56.6 |
| 31 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) | 39.3 | $0.40 | $1.60 | 56.1 |
| 32 | [Solar Pro4](https://noometry.com/models/solar-pro4) | 28.5 | $0.30 | $1.20 | 54.2 |
| 33 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | 23.7 | $0.20 | $1.25 | 51.3 |
| 34 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | 76.9 | $0.75 | $3.75 | 51.2 |
| 35 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) | 28.0 | $0.25 | $1.49 | 50.2 |
| 36 | [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | 26.8 | $0.43 | $0.87 | 49.2 |
| 37 | [Qwen Plus](https://noometry.com/models/qwen-plus) | 28.4 | $0.40 | $1.20 | 47.3 |
| 38 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | 70.0 | $0.75 | $3.75 | 46.7 |
| 39 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | 49.2 | $0.50 | $3 | 43.7 |
| 40 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | 58.8 | $0.75 | $3.75 | 39.2 |
| 41 | [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale) | 32.9 | $0.58 | $1.68 | 38.5 |
| 42 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | 32.8 | $0.40 | $2.40 | 36.5 |
| 43 | [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) | 24.6 | $0.25 | $2 | 35.7 |
| 44 | [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) | 31.1 | $0.50 | $2 | 35.5 |
| 45 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | 23.9 | $0.25 | $2 | 34.8 |
| 46 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | 31.2 | $0.45 | $2.25 | 34.7 |
| 47 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | 52.3 | $1.25 | $2.50 | 33.5 |
| 48 | [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) | 27.5 | $0.30 | $2.40 | 33.4 |
| 49 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) | 27.8 | $0.30 | $2.50 | 32.7 |
| 50 | [Nova 2 Lite](https://noometry.com/models/nova-2-lite) | 27.5 | $0.30 | $2.50 | 32.4 |
| 51 | [GLM-4.5V](https://noometry.com/models/glm-4-5v) | 27.4 | $0.60 | $1.80 | 30.4 |
| 52 | [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) | 31.0 | $0.60 | $2.40 | 29.5 |
| 53 | [GLM-4.5](https://noometry.com/models/glm-4-5) | 28.6 | $0.60 | $2.20 | 28.6 |
| 54 | [Step 5 Preview](https://noometry.com/models/step-5-preview) | 40.0 | $1 | $2.70 | 28.1 |
| 55 | [Grok 4.20 Multi-Agent](https://noometry.com/models/grok-4-20-multi-agent) | 43.9 | $1.25 | $2.50 | 28.1 |
| 56 | [MiniMax M1](https://noometry.com/models/minimax-m1) | 26.9 | $0.55 | $2.20 | 27.9 |
| 57 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | 54.0 | $1.25 | $4.25 | 27.0 |
| 58 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) | 29.3 | $0.50 | $3 | 26.0 |
| 59 | [Grok Build 0.1](https://noometry.com/models/grok-build-0-1) | 32.2 | $1 | $2 | 25.8 |
| 60 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | 51.3 | $1.25 | $4.25 | 25.6 |
| 61 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) | 34.5 | $0.60 | $3.60 | 25.5 |
| 62 | [Hy4 preview](https://noometry.com/models/hy4-preview) | 31.9 | $0.83 | $2.50 | 25.5 |
| 63 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) | 27.2 | $0.40 | $3.20 | 24.7 |
| 64 | [GLM-4.7](https://noometry.com/models/glm-4-7) | 24.3 | $0.60 | $2.20 | 24.3 |
| 65 | [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) | 29.3 | $0.70 | $2.80 | 23.9 |
| 66 | [GLM-4.6](https://noometry.com/models/glm-4-6) | 23.7 | $0.60 | $2.20 | 23.7 |
| 67 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | 40.5 | $0.95 | $4 | 23.7 |
| 68 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | 47.1 | $1.25 | $4.25 | 23.6 |
| 69 | [Grok 4.3](https://noometry.com/models/grok-4-3) | 35.9 | $1.25 | $2.50 | 23.0 |
| 70 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | 39.0 | $0.95 | $4 | 22.8 |
| 71 | [GLM-5.3](https://noometry.com/models/glm-5-3) | 46.1 | $1.40 | $4.40 | 21.4 |
| 72 | [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | 24.1 | $0.50 | $3 | 21.4 |
| 73 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | 81.9 | $2 | $10 | 20.5 |
| 74 | [Grok 4.6](https://noometry.com/models/grok-4-6) | 61.4 | $2 | $6 | 20.5 |
| 75 | [GLM-5.2](https://noometry.com/models/glm-5-2) | 42.3 | $1.40 | $4.40 | 19.7 |
| 76 | [Grok 4.5](https://noometry.com/models/grok-4-5) | 56.1 | $2 | $6 | 18.7 |
| 77 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | 62.8 | $1.50 | $9 | 18.6 |
| 78 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) | 25.0 | $0.60 | $3.60 | 18.5 |
| 79 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | 74.0 | $2 | $10 | 18.5 |
| 80 | [GLM-5.1](https://noometry.com/models/glm-5-1) | 39.1 | $1.40 | $4.40 | 18.2 |
| 81 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) | 54.4 | $2 | $6 | 18.1 |
| 82 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | 30.4 | $0.75 | $4.50 | 18.0 |
| 83 | [GLM-5](https://noometry.com/models/glm-5) | 27.6 | $1 | $3.20 | 17.8 |
| 84 | [Grok 4.7](https://noometry.com/models/grok-4-7) | 49.1 | $2 | $6 | 16.4 |
| 85 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | 71.7 | $2 | $12 | 15.9 |
| 86 | [Inkling](https://noometry.com/models/inkling) | 40.4 | $1.87 | $4.68 | 15.7 |
| 87 | [GLM-5V-Turbo](https://noometry.com/models/glm-5v-turbo) | 29.7 | $1.20 | $4 | 15.6 |
| 88 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) | 41.7 | $1.30 | $7.80 | 14.2 |
| 89 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | 54.0 | $2 | $10 | 13.5 |
| 90 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | 60.7 | $2 | $12 | 13.5 |
| 91 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | 49.2 | $2.50 | $7.50 | 13.1 |
| 92 | [o4-mini](https://noometry.com/models/o4-mini) | 24.6 | $1.10 | $4.40 | 12.8 |
| 93 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | 49.1 | $2 | $10 | 12.3 |
| 94 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | 39.8 | $1.25 | $10 | 11.6 |
| 95 | [GPT-5](https://noometry.com/models/gpt-5) | 38.3 | $1.25 | $10 | 11.1 |
| 96 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | 61.8 | $2.50 | $15 | 11.0 |
| 97 | [Kimi K3](https://noometry.com/models/kimi-k3) | 63.0 | $3 | $15 | 10.5 |
| 98 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | 50.2 | $1.75 | $14 | 10.4 |
| 99 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | 80.2 | $4 | $20 | 10.0 |
| 100 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | 74.8 | $4 | $20 | 9.3 |
| 101 | [o3](https://noometry.com/models/o3) | 32.0 | $2 | $8 | 9.1 |
| 102 | [GPT-5-Codex](https://noometry.com/models/gpt-5-codex) | 30.9 | $1.25 | $10 | 9.0 |
| 103 | [Qwen Max](https://noometry.com/models/qwen-max) | 25.1 | $1.60 | $6.40 | 9.0 |
| 104 | [Qwen3-Coder 480B-A35B Instruct](https://noometry.com/models/qwen3-coder-480b-a35b-instruct) | 25.5 | $1.50 | $7.50 | 8.5 |
| 105 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | 28.8 | $1.25 | $10 | 8.4 |
| 106 | [Mistral Medium](https://noometry.com/models/mistral-medium) | 24.0 | $1.50 | $7.50 | 8.0 |
| 107 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | 77.2 | $5 | $25 | 7.7 |
| 108 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | 46.1 | $3 | $15 | 7.7 |
| 109 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | 64.7 | $5 | $25 | 6.5 |
| 110 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | 72.8 | $5 | $30 | 6.5 |
| 111 | [GPT-5.3 Chat](https://noometry.com/models/gpt-5-3-chat) | 28.5 | $1.75 | $14 | 5.9 |
| 112 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | 57.8 | $5 | $25 | 5.8 |
| 113 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | 53.8 | $5 | $25 | 5.4 |
| 114 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | 26.9 | $3 | $15 | 4.5 |
| 115 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | 42.6 | $5 | $25 | 4.3 |
| 116 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | 85.1 | $10 | $50 | 4.3 |
| 117 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | 76.8 | $10 | $50 | 3.8 |
| 118 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | 76.7 | $10 | $50 | 3.8 |
| 119 | [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | 73.3 | $30 | $180 | 1.1 |
| 120 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | 32.2 | $15 | $75 | 1.1 |
| 121 | [o1](https://noometry.com/models/o1) | 27.9 | $15 | $60 | 1.1 |
| 122 | [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | 70.7 | $30 | $180 | 1.0 |
| 123 | [GPT-5 Pro](https://noometry.com/models/gpt-5-pro) | 38.9 | $15 | $120 | 0.9 |
| 124 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | 27.3 | $15 | $75 | 0.9 |
| 125 | [GPT-5.2 Pro](https://noometry.com/models/gpt-5-2-pro) | 51.5 | $21 | $168 | 0.9 |
| 126 | [o3-pro](https://noometry.com/models/o3-pro) | 23.8 | $20 | $80 | 0.7 |

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

## Compare the leaders

-   [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)
-   [Qwen3.7 Flash vs Granite 4.2 8B](https://noometry.com/compare/granite-4-2-8b-vs-qwen3-7-flash)
-   [Nemotron 3 Nano 30B A3B vs Nemotron 3.5 Lightning](https://noometry.com/compare/nemotron-3-5-lightning-vs-nemotron-3-nano-30b-a3b)
-   [Nemotron 3 Nano 30B A3B vs Granite 4.2 8B](https://noometry.com/compare/granite-4-2-8b-vs-nemotron-3-nano-30b-a3b)
-   [Nemotron 3.5 Lightning vs Granite 4.2 8B](https://noometry.com/compare/granite-4-2-8b-vs-nemotron-3-5-lightning)

## 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 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 most cost-effective AI model for reasoning?

As of October 2026, Qwen3.7 Flash gives the most reasoning performance per dollar: 28.2 points at a blended $0.05 per million tokens. Nemotron 3 Nano 30B A3B is next.

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

Qwen3.7 Flash, Nemotron 3 Nano 30B A3B, Nemotron 3.5 Lightning, Granite 4.2 8B, GPT-6 Luna, 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 Reasoning. Retrieved October 11, 2026, from https://noometry.com/best/best-value-reasoning

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