Value ranking

# Best Value LLMs for Coding in October 2026

> Best Value LLMs for Coding: As of October 2026, Mercury 2.5 gives the most coding performance per dollar: 39.5 points at a blended $0.07 per million tokens. Nemotron 3 … 134 models ranked with sources.
- Canonical page: https://noometry.com/best/best-value-coding
- Last updated: 2026-10-10
- Title: Best Value LLMs for Coding (October 2026) | Noometry

As of October 2026, Mercury 2.5 gives the most coding performance per dollar: 39.5 points at a blended $0.07 per million tokens. Nemotron 3 Nano 30B A3B is next.

Last verified October 10, 2026

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

Best Value LLMs for Coding: top 10

1.  Mercury 2.5 585.2 pts/$
2.  Nemotron 3 Nano 30B A3B 462.9 pts/$
3.  Nemotron 3.5 Lightning 461.6 pts/$
4.  Granite 4.2 8B 377.1 pts/$
5.  Gemma 4 26B A4B IT 365.4 pts/$
6.  Hy3 324.4 pts/$
7.  MiMo-V2.6-Flash 305.3 pts/$
8.  Step 3.5 Flash 282.4 pts/$
9.  GLM-4.7-Flash 280.2 pts/$
10.  GPT-6 Luna 277.4 pts/$
11.  0200400600

## Full ranking

Best Value LLMs for Coding
| # | Model | Score | Input $/M | Output $/M | Points per $ |
| --- | --- | --- | --- | --- | --- |
| 1 | [Mercury 2.5](https://noometry.com/models/mercury-2-5) | 39.5 | $0.04 | $0.15 | 585.2 |
| 2 | [Nemotron 3 Nano 30B A3B](https://noometry.com/models/nemotron-3-nano-30b-a3b) | 40.5 | $0.05 | $0.20 | 462.9 |
| 3 | [Nemotron 3.5 Lightning](https://noometry.com/models/nemotron-3-5-lightning) | 40.4 | $0.05 | $0.20 | 461.6 |
| 4 | [Granite 4.2 8B](https://noometry.com/models/granite-4-2-8b) | 40.5 | $0.06 | $0.25 | 377.1 |
| 5 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) | 39.0 | $0.0675 | $0.23 | 365.4 |
| 6 | [Hy3](https://noometry.com/models/hy3) | 46.8 | $0.0825 | $0.33 | 324.4 |
| 7 | [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | 53.4 | $0.14 | $0.28 | 305.3 |
| 8 | [Step 3.5 Flash](https://noometry.com/models/step-3-5-flash) | 42.4 | $0.10 | $0.30 | 282.4 |
| 9 | [GLM-4.7-Flash](https://noometry.com/models/glm-4-7-flash) | 40.6 | $0.06 | $0.40 | 280.2 |
| 10 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | 55.5 | $0.10 | $0.50 | 277.4 |
| 11 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | 42.3 | $0.09 | $0.34 | 277.2 |
| 12 | [Devstral Small 2505](https://noometry.com/models/devstral-small) | 38.9 | $0.10 | $0.30 | 259.5 |
| 13 | [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | 43.9 | $0.14 | $0.28 | 251.1 |
| 14 | [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | 43.3 | $0.14 | $0.28 | 247.7 |
| 15 | [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | 49.2 | $0.10 | $0.50 | 245.9 |
| 16 | [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super) | 39.4 | $0.08 | $0.45 | 228.2 |
| 17 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | 53.1 | $0.15 | $0.50 | 223.5 |
| 18 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | 52.9 | $0.15 | $0.60 | 201.6 |
| 19 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | 47.9 | $0.15 | $0.60 | 182.6 |
| 20 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) | 46.5 | $0.26 | $0.38 | 160.4 |
| 21 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | 54.5 | $0.20 | $1.20 | 121.1 |
| 22 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) | 42.3 | $0.24 | $0.90 | 104.5 |
| 23 | [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | 55.5 | $0.43 | $0.87 | 102.2 |
| 24 | [Nvidia Llama 3.3 Nemotron Super 49b v1.5](https://noometry.com/models/nvidia-llama-3-3-nemotron-super-49b-v1-5) | 39.8 | $0.40 | $0.40 | 99.4 |
| 25 | [Step 3.7 Flash](https://noometry.com/models/step-3-7-flash) | 40.0 | $0.18 | $1.11 | 96.0 |
| 26 | [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) | 40.3 | $0.25 | $0.95 | 94.9 |
| 27 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | 43.6 | $0.20 | $1.25 | 94.3 |
| 28 | [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) | 42.0 | $0.27 | $1 | 92.9 |
| 29 | [MiniMax-M2.5](https://noometry.com/models/minimax-m2-5) | 48.1 | $0.30 | $1.20 | 91.5 |
| 30 | [GLM-4.6V](https://noometry.com/models/glm-4-6v) | 40.9 | $0.30 | $0.90 | 90.8 |
| 31 | [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | 47.4 | $0.43 | $0.87 | 87.2 |
| 32 | [MiMo-V2-Pro](https://noometry.com/models/mimo-v2-pro) | 43.8 | $0.43 | $0.87 | 80.5 |
| 33 | [MiniMax-M3](https://noometry.com/models/minimax-m3) | 41.8 | $0.30 | $1.20 | 79.6 |
| 34 | [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) | 41.8 | $0.30 | $1.20 | 79.5 |
| 35 | [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1) | 40.4 | $0.30 | $1.20 | 76.9 |
| 36 | [Solar Pro4](https://noometry.com/models/solar-pro4) | 40.1 | $0.30 | $1.20 | 76.4 |
| 37 | [MiniMax-M2](https://noometry.com/models/minimax-m2) | 39.3 | $0.30 | $1.20 | 74.8 |
| 38 | [Inkling-Small](https://noometry.com/models/inkling-small) | 43.6 | $0.45 | $1.20 | 68.4 |
| 39 | [Qwen Plus](https://noometry.com/models/qwen-plus) | 38.9 | $0.40 | $1.20 | 64.8 |
| 40 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | 40.1 | $0.25 | $2 | 58.4 |
| 41 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | 48.8 | $0.45 | $2.25 | 54.2 |
| 42 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | 52.4 | $0.66 | $1.98 | 53.0 |
| 43 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | 46.3 | $0.50 | $2.15 | 50.7 |
| 44 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) | 42.4 | $0.30 | $2.50 | 49.8 |
| 45 | [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) | 42.5 | $0.50 | $2 | 48.6 |
| 46 | [Nova 2 Lite](https://noometry.com/models/nova-2-lite) | 40.7 | $0.30 | $2.50 | 47.9 |
| 47 | [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale) | 40.4 | $0.58 | $1.68 | 47.2 |
| 48 | [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) | 38.9 | $0.30 | $2.40 | 47.1 |
| 49 | [Mistral Large 4](https://noometry.com/models/mistral-large-4) | 48.6 | $0.68 | $2.09 | 47.1 |
| 50 | [Hy4 preview](https://noometry.com/models/hy4-preview) | 51.6 | $0.75 | $2.25 | 45.8 |
| 51 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) | 50.5 | $0.99 | $1.49 | 45.3 |
| 52 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | 50.9 | $0.50 | $3 | 45.3 |
| 53 | [GLM-4.7](https://noometry.com/models/glm-4-7) | 44.0 | $0.60 | $2.20 | 44.0 |
| 54 | [GLM-4.5V](https://noometry.com/models/glm-4-5v) | 39.5 | $0.60 | $1.80 | 43.9 |
| 55 | [Kimi K2 (Jul 2025)](https://noometry.com/models/kimi-k2) | 42.4 | $0.57 | $2.30 | 42.3 |
| 56 | [MiniMax M1](https://noometry.com/models/minimax-m1) | 39.9 | $0.55 | $2.20 | 41.4 |
| 57 | [GLM-4.5](https://noometry.com/models/glm-4-5) | 41.4 | $0.60 | $2.20 | 41.4 |
| 58 | [GLM-4.6](https://noometry.com/models/glm-4-6) | 40.1 | $0.60 | $2.20 | 40.1 |
| 59 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | 59.2 | $0.75 | $3.75 | 39.5 |
| 60 | [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | 43.5 | $0.50 | $3 | 38.7 |
| 61 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | 56.2 | $0.75 | $3.75 | 37.5 |
| 62 | [Step 5 Preview](https://noometry.com/models/step-5-preview) | 51.8 | $1 | $2.70 | 36.3 |
| 63 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) | 40.8 | $0.50 | $3 | 36.3 |
| 64 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) | 44.3 | $0.70 | $2.80 | 36.1 |
| 65 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) | 39.1 | $0.40 | $3.20 | 35.6 |
| 66 | [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) | 42.4 | $0.70 | $2.80 | 34.6 |
| 67 | [Grok Build 0.1](https://noometry.com/models/grok-build-0-1) | 43.1 | $1 | $2 | 34.5 |
| 68 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | 50.0 | $0.75 | $3.75 | 33.4 |
| 69 | [GLM-5](https://noometry.com/models/glm-5) | 49.0 | $1 | $3.20 | 31.6 |
| 70 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) | 42.0 | $0.60 | $3.60 | 31.1 |
| 71 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | 50.7 | $0.95 | $4 | 29.6 |
| 72 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) | 39.1 | $0.60 | $3.60 | 29.0 |
| 73 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | 56.6 | $1.25 | $4.25 | 28.3 |
| 74 | [GLM-5.3](https://noometry.com/models/glm-5-3) | 59.5 | $1.40 | $4.40 | 27.7 |
| 75 | [Grok 4.20 Multi-Agent](https://noometry.com/models/grok-4-20-multi-agent) | 43.0 | $1.25 | $2.50 | 27.6 |
| 76 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | 42.1 | $1.25 | $2.50 | 26.9 |
| 77 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | 45.2 | $0.75 | $4.50 | 26.8 |
| 78 | [Grok 4.3](https://noometry.com/models/grok-4-3) | 41.6 | $1.25 | $2.50 | 26.6 |
| 79 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | 51.3 | $1.25 | $4.25 | 25.6 |
| 80 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | 42.9 | $0.95 | $4 | 25.0 |
| 81 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | 49.2 | $1.25 | $4.25 | 24.6 |
| 82 | [GLM-5.2](https://noometry.com/models/glm-5-2) | 51.3 | $1.40 | $4.40 | 23.8 |
| 83 | [GLM-5.1](https://noometry.com/models/glm-5-1) | 48.7 | $1.40 | $4.40 | 22.6 |
| 84 | [GLM-5V-Turbo](https://noometry.com/models/glm-5v-turbo) | 42.1 | $1.20 | $4 | 22.1 |
| 85 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | 44.0 | $1 | $5 | 22.0 |
| 86 | [o4-mini](https://noometry.com/models/o4-mini) | 40.9 | $1.10 | $4.40 | 21.3 |
| 87 | [o3-mini](https://noometry.com/models/o3-mini) | 40.8 | $1.10 | $4.40 | 21.2 |
| 88 | [Grok 4.6](https://noometry.com/models/grok-4-6) | 58.5 | $2 | $6 | 19.5 |
| 89 | [Grok 4.7](https://noometry.com/models/grok-4-7) | 58.0 | $2 | $6 | 19.3 |
| 90 | [Qwen3 Max](https://noometry.com/models/qwen3-max) | 43.0 | $1.20 | $6 | 17.9 |
| 91 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) | 53.5 | $2 | $6 | 17.8 |
| 92 | [Grok 4.5](https://noometry.com/models/grok-4-5) | 52.2 | $2 | $6 | 17.4 |
| 93 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | 67.3 | $2 | $10 | 16.8 |
| 94 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) | 48.7 | $1.30 | $7.80 | 16.7 |
| 95 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | 63.2 | $2 | $10 | 15.8 |
| 96 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | 60.1 | $2 | $10 | 15.0 |
| 97 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | 49.4 | $1.50 | $9 | 14.6 |
| 98 | [GPT-5](https://noometry.com/models/gpt-5) | 50.3 | $1.25 | $10 | 14.6 |
| 99 | [Magistral Medium](https://noometry.com/models/magistral-medium) | 39.1 | $2 | $5 | 14.2 |
| 100 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | 55.5 | $2 | $10 | 13.9 |
| 101 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | 46.4 | $1.25 | $10 | 13.5 |
| 102 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | 50.4 | $2.50 | $7.50 | 13.4 |
| 103 | [o3](https://noometry.com/models/o3) | 46.8 | $2 | $8 | 13.4 |
| 104 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | 57.7 | $2 | $12 | 12.8 |
| 105 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | 42.4 | $1.25 | $10 | 12.3 |
| 106 | [GPT-5-Codex](https://noometry.com/models/gpt-5-codex) | 42.4 | $1.25 | $10 | 12.3 |
| 107 | [GPT-5.1-Codex](https://noometry.com/models/gpt-5-1-codex) | 41.9 | $1.25 | $10 | 12.2 |
| 108 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | 51.6 | $1.75 | $14 | 10.7 |
| 109 | [Kimi K3](https://noometry.com/models/kimi-k3) | 61.0 | $3 | $15 | 10.2 |
| 110 | [GPT-5.3 Codex](https://noometry.com/models/gpt-5-3-codex) | 48.6 | $1.75 | $14 | 10.1 |
| 111 | [GPT-5.2 Codex](https://noometry.com/models/gpt-5-2-codex) | 45.5 | $1.75 | $14 | 9.5 |
| 112 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | 42.5 | $2 | $12 | 9.4 |
| 113 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | 52.6 | $2.50 | $15 | 9.4 |
| 114 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | 71.9 | $4 | $20 | 9.0 |
| 115 | [GPT-5.3 Chat](https://noometry.com/models/gpt-5-3-chat) | 41.4 | $1.75 | $14 | 8.6 |
| 116 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | 65.1 | $4 | $20 | 8.1 |
| 117 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | 47.3 | $3 | $15 | 7.9 |
| 118 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | 46.3 | $3 | $15 | 7.7 |
| 119 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | 43.5 | $3 | $15 | 7.2 |
| 120 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | 67.5 | $5 | $25 | 6.7 |
| 121 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | 59.9 | $5 | $25 | 6.0 |
| 122 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | 59.6 | $5 | $25 | 6.0 |
| 123 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | 57.2 | $5 | $25 | 5.7 |
| 124 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | 54.8 | $5 | $25 | 5.5 |
| 125 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | 58.2 | $5 | $30 | 5.2 |
| 126 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | 74.7 | $10 | $50 | 3.7 |
| 127 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | 73.7 | $10 | $50 | 3.7 |
| 128 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | 70.6 | $10 | $50 | 3.5 |
| 129 | [o1](https://noometry.com/models/o1) | 46.1 | $15 | $60 | 1.8 |
| 130 | [o3-pro](https://noometry.com/models/o3-pro) | 55.5 | $20 | $80 | 1.6 |
| 131 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | 47.2 | $15 | $75 | 1.6 |
| 132 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | 44.4 | $15 | $75 | 1.5 |
| 133 | [GPT-5 Pro](https://noometry.com/models/gpt-5-pro) | 44.0 | $15 | $120 | 1.1 |
| 134 | [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | 43.2 | $30 | $180 | 0.6 |

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

## Compare the leaders

-   [Mercury 2.5 vs Nemotron 3 Nano 30B A3B](https://noometry.com/compare/mercury-2-5-vs-nemotron-3-nano-30b-a3b)
-   [Mercury 2.5 vs Nemotron 3.5 Lightning](https://noometry.com/compare/mercury-2-5-vs-nemotron-3-5-lightning)
-   [Mercury 2.5 vs Granite 4.2 8B](https://noometry.com/compare/granite-4-2-8b-vs-mercury-2-5)
-   [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 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 most cost-effective AI model for coding?

As of October 2026, Mercury 2.5 gives the most coding performance per dollar: 39.5 points at a blended $0.07 per million tokens. Nemotron 3 Nano 30B A3B is next.

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

Mercury 2.5, Nemotron 3 Nano 30B A3B, Nemotron 3.5 Lightning, Granite 4.2 8B, 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 Coding. Retrieved October 10, 2026, from https://noometry.com/best/best-value-coding

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