Value ranking

# Best Value LLMs for Math in October 2026

> Best Value LLMs for Math: As of October 2026, gpt-oss-20b gives the most math performance per dollar: 39.4 points at a blended $0.04 per million tokens. gpt-oss-120b … 133 models ranked with sources.
- Canonical page: https://noometry.com/best/best-value-math
- Last updated: 2026-10-10
- Title: Best Value LLMs for Math (October 2026) | Noometry

As of October 2026, gpt-oss-20b gives the most math performance per dollar: 39.4 points at a blended $0.04 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 math ranking.

Best Value LLMs for Math: top 10

1.  gpt-oss-20b 1095.0 pts/$
2.  gpt-oss-120b 747.2 pts/$
3.  Qwen3.7 Flash 696.0 pts/$
4.  Gemma 4 26B A4B IT 445.0 pts/$
5.  Nemotron 3 Nano 30B A3B 431.4 pts/$
6.  Nemotron 3.5 Lightning 428.3 pts/$
7.  GPT-6 Luna 380.5 pts/$
8.  Claude Haiku 5.5 367.9 pts/$
9.  MiMo-V2.6-Flash 296.7 pts/$
10.  Step 3.5 Flash 284.2 pts/$
11.  050010001500

## Full ranking

Best Value LLMs for Math
| # | Model | Score | Input $/M | Output $/M | Points per $ |
| --- | --- | --- | --- | --- | --- |
| 1 | [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | 39.4 | $0.018 | $0.09 | 1095.0 |
| 2 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | 52.5 | $0.037 | $0.17 | 747.2 |
| 3 | [Qwen3.7 Flash](https://noometry.com/models/qwen3-7-flash) | 38.3 | $0.03 | $0.13 | 696.0 |
| 4 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) | 47.6 | $0.0675 | $0.23 | 445.0 |
| 5 | [Nemotron 3 Nano 30B A3B](https://noometry.com/models/nemotron-3-nano-30b-a3b) | 37.8 | $0.05 | $0.20 | 431.4 |
| 6 | [Nemotron 3.5 Lightning](https://noometry.com/models/nemotron-3-5-lightning) | 37.5 | $0.05 | $0.20 | 428.3 |
| 7 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | 76.1 | $0.10 | $0.50 | 380.5 |
| 8 | [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | 73.6 | $0.10 | $0.50 | 367.9 |
| 9 | [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | 51.9 | $0.14 | $0.28 | 296.7 |
| 10 | [Step 3.5 Flash](https://noometry.com/models/step-3-5-flash) | 42.6 | $0.10 | $0.30 | 284.2 |
| 11 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | 43.2 | $0.09 | $0.34 | 283.1 |
| 12 | [Hy3](https://noometry.com/models/hy3) | 40.1 | $0.0825 | $0.33 | 278.0 |
| 13 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | 66.7 | $0.15 | $0.60 | 254.2 |
| 14 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | 60.3 | $0.15 | $0.60 | 229.6 |
| 15 | [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super) | 39.6 | $0.08 | $0.45 | 229.4 |
| 16 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | 53.3 | $0.15 | $0.50 | 224.2 |
| 17 | [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | 39.1 | $0.14 | $0.28 | 223.4 |
| 18 | [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash) | 38.3 | $0.14 | $0.28 | 219.0 |
| 19 | [Gemini 2.5 Flash-Lite](https://noometry.com/models/gemini-2-5-flash-lite) | 38.0 | $0.10 | $0.40 | 216.9 |
| 20 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) | 37.4 | $0.10 | $0.40 | 213.9 |
| 21 | [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | 36.8 | $0.14 | $0.28 | 210.0 |
| 22 | [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) | 37.4 | $0.12 | $0.50 | 174.1 |
| 23 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | 77.7 | $0.20 | $1.20 | 172.6 |
| 24 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) | 41.7 | $0.26 | $0.38 | 143.8 |
| 25 | [Mistral Large 3](https://noometry.com/models/mistral-large-3) | 38.7 | $0.25 | $0.75 | 103.3 |
| 26 | [Step 3.7 Flash](https://noometry.com/models/step-3-7-flash) | 42.9 | $0.18 | $1.11 | 103.1 |
| 27 | [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | 54.5 | $0.43 | $0.87 | 100.2 |
| 28 | [Trinity Large Thinking](https://noometry.com/models/trinity-large-thinking) | 37.6 | $0.25 | $0.80 | 97.2 |
| 29 | [Nvidia Llama 3.3 Nemotron Super 49b v1.5](https://noometry.com/models/nvidia-llama-3-3-nemotron-super-49b-v1-5) | 38.2 | $0.40 | $0.40 | 95.6 |
| 30 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) | 39.0 | $0.19 | $1.13 | 92.5 |
| 31 | [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) | 38.9 | $0.25 | $0.95 | 91.4 |
| 32 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | 40.9 | $0.20 | $1.25 | 88.4 |
| 33 | [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) | 38.5 | $0.27 | $1 | 85.0 |
| 34 | [MiniMax-M3](https://noometry.com/models/minimax-m3) | 40.0 | $0.30 | $1.20 | 76.3 |
| 35 | [Solar Pro4](https://noometry.com/models/solar-pro4) | 38.8 | $0.30 | $1.20 | 73.8 |
| 36 | [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | 40.0 | $0.43 | $0.87 | 73.6 |
| 37 | [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1) | 38.3 | $0.30 | $1.20 | 73.0 |
| 38 | [MiMo-V2-Pro](https://noometry.com/models/mimo-v2-pro) | 39.5 | $0.43 | $0.87 | 72.6 |
| 39 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) | 40.7 | $0.25 | $1.50 | 72.3 |
| 40 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) | 50.5 | $0.40 | $1.60 | 72.1 |
| 41 | [MiniMax-M2](https://noometry.com/models/minimax-m2) | 37.3 | $0.30 | $1.20 | 71.1 |
| 42 | [Inkling-Small](https://noometry.com/models/inkling-small) | 45.1 | $0.45 | $1.20 | 70.7 |
| 43 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) | 38.9 | $0.25 | $1.49 | 69.8 |
| 44 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | 46.7 | $0.25 | $2 | 67.9 |
| 45 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | 64.8 | $0.66 | $1.98 | 65.5 |
| 46 | [Qwen3 14B](https://noometry.com/models/qwen3-14b) | 38.6 | $0.35 | $1.40 | 63.1 |
| 47 | [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) | 39.9 | $0.25 | $2 | 58.0 |
| 48 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | 51.8 | $0.45 | $2.25 | 57.6 |
| 49 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | 49.6 | $0.40 | $2.40 | 55.1 |
| 50 | [Hy4 preview](https://noometry.com/models/hy4-preview) | 55.7 | $0.75 | $2.25 | 49.5 |
| 51 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | 43.8 | $0.50 | $2.15 | 48.0 |
| 52 | [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) | 38.8 | $0.30 | $2.40 | 47.0 |
| 53 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) | 39.9 | $0.30 | $2.50 | 46.9 |
| 54 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | 69.6 | $0.75 | $3.75 | 46.4 |
| 55 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) | 51.8 | $0.50 | $3 | 46.0 |
| 56 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | 51.7 | $0.50 | $3 | 46.0 |
| 57 | [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) | 38.8 | $0.50 | $2 | 44.3 |
| 58 | [Nova 2 Lite](https://noometry.com/models/nova-2-lite) | 37.5 | $0.30 | $2.50 | 44.1 |
| 59 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | 65.3 | $0.75 | $3.75 | 43.6 |
| 60 | [Kimi K2 (Jul 2025)](https://noometry.com/models/kimi-k2) | 42.7 | $0.57 | $2.30 | 42.6 |
| 61 | [GLM-4.5V](https://noometry.com/models/glm-4-5v) | 37.4 | $0.60 | $1.80 | 41.5 |
| 62 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) | 50.4 | $0.70 | $2.80 | 41.1 |
| 63 | [Mistral Large 4](https://noometry.com/models/mistral-large-4) | 40.4 | $0.68 | $2.09 | 39.2 |
| 64 | [GLM-4.6](https://noometry.com/models/glm-4-6) | 39.1 | $0.60 | $2.20 | 39.1 |
| 65 | [GLM-4.5](https://noometry.com/models/glm-4-5) | 39.0 | $0.60 | $2.20 | 39.0 |
| 66 | [MiniMax M1](https://noometry.com/models/minimax-m1) | 37.5 | $0.55 | $2.20 | 39.0 |
| 67 | [GLM-4.7](https://noometry.com/models/glm-4-7) | 38.6 | $0.60 | $2.20 | 38.6 |
| 68 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | 57.3 | $0.75 | $3.75 | 38.2 |
| 69 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | 73.1 | $1.25 | $4.25 | 36.6 |
| 70 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) | 48.5 | $0.60 | $3.60 | 35.9 |
| 71 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) | 39.1 | $0.40 | $3.20 | 35.6 |
| 72 | [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | 39.3 | $0.50 | $3 | 34.9 |
| 73 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) | 46.1 | $0.60 | $3.60 | 34.1 |
| 74 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | 57.0 | $0.95 | $4 | 33.3 |
| 75 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) | 37.1 | $0.99 | $1.49 | 33.2 |
| 76 | [Qwen3 32B](https://noometry.com/models/qwen3-32b) | 39.7 | $0.70 | $2.80 | 32.4 |
| 77 | [Step 5 Preview](https://noometry.com/models/step-5-preview) | 46.1 | $1 | $2.70 | 32.4 |
| 78 | [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) | 39.0 | $0.70 | $2.80 | 31.8 |
| 79 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | 52.9 | $0.95 | $4 | 30.9 |
| 80 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | 48.2 | $1.25 | $2.50 | 30.8 |
| 81 | [GLM-5](https://noometry.com/models/glm-5) | 46.4 | $1 | $3.20 | 29.9 |
| 82 | [Grok 4.3](https://noometry.com/models/grok-4-3) | 46.0 | $1.25 | $2.50 | 29.4 |
| 83 | [GLM-5.3](https://noometry.com/models/glm-5-3) | 62.3 | $1.40 | $4.40 | 29.0 |
| 84 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | 45.5 | $0.75 | $4.50 | 27.0 |
| 85 | [GLM-5.2](https://noometry.com/models/glm-5-2) | 55.7 | $1.40 | $4.40 | 25.9 |
| 86 | [Grok 4.20 Multi-Agent](https://noometry.com/models/grok-4-20-multi-agent) | 39.4 | $1.25 | $2.50 | 25.2 |
| 87 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) | 73.2 | $2 | $6 | 24.4 |
| 88 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | 93.7 | $2 | $10 | 23.4 |
| 89 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | 46.4 | $1.25 | $4.25 | 23.2 |
| 90 | [GLM-5.1](https://noometry.com/models/glm-5-1) | 49.7 | $1.40 | $4.40 | 23.1 |
| 91 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | 45.5 | $1.25 | $4.25 | 22.8 |
| 92 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | 44.9 | $1 | $5 | 22.4 |
| 93 | [Grok 4.6](https://noometry.com/models/grok-4-6) | 67.0 | $2 | $6 | 22.3 |
| 94 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | 87.9 | $2 | $10 | 22.0 |
| 95 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | 87.2 | $2 | $10 | 21.8 |
| 96 | [o4-mini](https://noometry.com/models/o4-mini) | 40.8 | $1.10 | $4.40 | 21.2 |
| 97 | [GLM-5V-Turbo](https://noometry.com/models/glm-5v-turbo) | 39.4 | $1.20 | $4 | 20.7 |
| 98 | [Grok 4.5](https://noometry.com/models/grok-4-5) | 60.9 | $2 | $6 | 20.3 |
| 99 | [Grok 4.7](https://noometry.com/models/grok-4-7) | 57.8 | $2 | $6 | 19.3 |
| 100 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) | 54.1 | $1.30 | $7.80 | 18.5 |
| 101 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | 81.6 | $2 | $12 | 18.1 |
| 102 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | 60.7 | $1.50 | $9 | 18.0 |
| 103 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | 62.4 | $2.50 | $7.50 | 16.7 |
| 104 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | 66.2 | $2 | $10 | 16.6 |
| 105 | [Qwen3 Max](https://noometry.com/models/qwen3-max) | 38.7 | $1.20 | $6 | 16.1 |
| 106 | [GPT-5](https://noometry.com/models/gpt-5) | 55.0 | $1.25 | $10 | 16.0 |
| 107 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | 52.2 | $1.25 | $10 | 15.2 |
| 108 | [o3](https://noometry.com/models/o3) | 50.2 | $2 | $8 | 14.3 |
| 109 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | 62.1 | $2 | $12 | 13.8 |
| 110 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | 73.5 | $2.50 | $15 | 13.1 |
| 111 | [Mistral Medium 3.5](https://noometry.com/models/mistral-medium-3-5) | 39.1 | $1.50 | $7.50 | 13.0 |
| 112 | [Qwen3-Coder 480B-A35B Instruct](https://noometry.com/models/qwen3-coder-480b-a35b-instruct) | 37.6 | $1.50 | $7.50 | 12.5 |
| 113 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | 60.0 | $1.75 | $14 | 12.5 |
| 114 | [Kimi K3](https://noometry.com/models/kimi-k3) | 74.2 | $3 | $15 | 12.4 |
| 115 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | 91.8 | $4 | $20 | 11.5 |
| 116 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | 85.6 | $4 | $20 | 10.7 |
| 117 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | 52.9 | $3 | $15 | 8.8 |
| 118 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | 86.2 | $5 | $25 | 8.6 |
| 119 | [GPT-5.3 Chat](https://noometry.com/models/gpt-5-3-chat) | 38.2 | $1.75 | $14 | 7.9 |
| 120 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | 78.4 | $5 | $25 | 7.8 |
| 121 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | 81.7 | $5 | $30 | 7.3 |
| 122 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | 43.3 | $3 | $15 | 7.2 |
| 123 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | 66.7 | $5 | $25 | 6.7 |
| 124 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | 63.0 | $5 | $25 | 6.3 |
| 125 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | 93.5 | $10 | $50 | 4.7 |
| 126 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | 89.6 | $10 | $50 | 4.5 |
| 127 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | 88.5 | $10 | $50 | 4.4 |
| 128 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | 38.6 | $5 | $25 | 3.9 |
| 129 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | 42.0 | $15 | $75 | 1.4 |
| 130 | [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | 84.0 | $30 | $180 | 1.2 |
| 131 | [GPT-5 Pro](https://noometry.com/models/gpt-5-pro) | 48.5 | $15 | $120 | 1.2 |
| 132 | [GPT-5.2 Pro](https://noometry.com/models/gpt-5-2-pro) | 65.3 | $21 | $168 | 1.1 |
| 133 | [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | 72.4 | $30 | $180 | 1.1 |

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

## Compare the leaders

-   [gpt-oss-20b vs gpt-oss-120b](https://noometry.com/compare/gpt-oss-120b-vs-gpt-oss-20b)
-   [gpt-oss-20b vs Qwen3.7 Flash](https://noometry.com/compare/gpt-oss-20b-vs-qwen3-7-flash)
-   [gpt-oss-20b vs Gemma 4 26B A4B IT](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-gpt-oss-20b)
-   [gpt-oss-120b vs Qwen3.7 Flash](https://noometry.com/compare/gpt-oss-120b-vs-qwen3-7-flash)
-   [gpt-oss-120b vs Gemma 4 26B A4B IT](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-gpt-oss-120b)
-   [Qwen3.7 Flash vs Gemma 4 26B A4B IT](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-qwen3-7-flash)

## 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 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 math?

As of October 2026, gpt-oss-20b gives the most math performance per dollar: 39.4 points at a blended $0.04 per million tokens. gpt-oss-120b is next.

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

gpt-oss-20b, gpt-oss-120b, Qwen3.7 Flash, Gemma 4 26B A4B IT, Nemotron 3 Nano 30B A3B, 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 Math. Retrieved October 10, 2026, from https://noometry.com/best/best-value-math

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