Coding benchmark # ALE-Bench leaderboard > ALE-Bench results for 105 AI models, led by GPT-6 Astra at 2,951. What the benchmark measures, who runs it, and a source for every score. - Canonical page: https://noometry.com/benchmarks/ale-bench - Last updated: 2026-10-10 - Title: ALE-Bench Leaderboard (October 2026): Scores by Model As of October 2026, GPT-6 Astra has the highest published ALE-Bench score on Noometry at 2,951, out of 105 models with results. Last verified October 10, 2026 ## About ALE-Bench Hard optimization problems from AtCoder Heuristic Contests, scored with a contest-style performance rating. - **Category:** [Coding](https://noometry.com/best/coding) - **Introduced:** 2025 - **Format:** Heuristic optimization - **Unit:** Raw score - **Official site:** [sakanaai.github.io](https://sakanaai.github.io/ALE-Bench/) ## Top 15 models Top models on ALE-Bench 1. GPT-6 Astra 2,951 2. GPT-6 Sol 2,462 3. GPT-5.6 Sol 2,177 4. Claude Opus 5 2,165 5. Claude Opus 5.5 2,147 6. Claude Fable 5.1 2,143 7. Claude Fable 5 2,041 8. GPT-5.6 Terra 1,951 9. GPT-5.5 1,943 10. Claude Sonnet 5.5 1,819 11. GPT-5.6 Luna 1,667 12. GPT-5.3 Codex 1,655 13. GPT-5.4 1,607 14. GPT-6 Luna 1,577 15. Claude Opus 4.8 1,564 16. 10001500200025003000 Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise) ## All results ALE-Bench results by model | # | Model | Provider | Rating | Setting | Source | Date | | --- | --- | --- | --- | --- | --- | --- | | 1 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 2,951 | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 2 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 2,462 | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 3 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 2,177 | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 4 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 2,165 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 5 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 2,147 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 6 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 2,143 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 7 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 2,041 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 8 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 1,951 | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 9 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 1,943 | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 10 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1,819 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 11 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 1,667 | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 12 | [GPT-5.3 Codex](https://noometry.com/models/gpt-5-3-codex) | [OpenAI](https://noometry.com/providers/openai) | 1,655 | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 13 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 1,607 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 14 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 1,577 | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 15 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 1,564 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 16 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1,524 | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 17 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 1,508 | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 18 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1,463 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 19 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1,403 | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 20 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1,367 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 21 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 1,327 | medium | [Epoch AI](https://epoch.ai/benchmarks) | | | 22 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 1,323 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 23 | [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1,317 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 24 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 1,309 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 25 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1,306 | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 26 | [GPT-5.2 Codex](https://noometry.com/models/gpt-5-2-codex) | [OpenAI](https://noometry.com/providers/openai) | 1,300 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 27 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 1,294 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 28 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1,270 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 29 | [GPT-5.1-Codex](https://noometry.com/models/gpt-5-1-codex) | [OpenAI](https://noometry.com/providers/openai) | 1,245 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 30 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 1,192 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 31 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1,189 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 32 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 1,189 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 33 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1,177 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 34 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 1,162 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 35 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1,161 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 36 | [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1,158 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 37 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | 1,150 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 38 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1,093 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 39 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1,092 | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 40 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1,047 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 41 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1,025 | 16K | [Epoch AI](https://epoch.ai/benchmarks) | | | 42 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 1,005 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 43 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 996.5 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 44 | [Inkling](https://noometry.com/models/inkling) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 946 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 45 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 944.17 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 46 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 933.55 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 47 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 927.17 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 48 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 925.5 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 49 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 911.02 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 50 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 904.3 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 51 | [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 899.8 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 52 | [GLM-5.1](https://noometry.com/models/glm-5-1) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 887.1 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 53 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | [Moonshot AI](https://noometry.com/providers/moonshot) | 886.23 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 54 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 826.17 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 55 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | 821.65 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 56 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 804.12 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 57 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 799.77 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 58 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 797.73 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 59 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 796.15 | 32K | [Epoch AI](https://epoch.ai/benchmarks) | | | 60 | [Mercury 2](https://noometry.com/models/mercury-2) | [Inception](https://noometry.com/providers/inception) | 785.58 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 61 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 785.52 | 32K | [Epoch AI](https://epoch.ai/benchmarks) | | | 62 | [MiMo-V2-Pro](https://noometry.com/models/mimo-v2-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 785.17 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 63 | [GLM-5](https://noometry.com/models/glm-5) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 765.62 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 64 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 765.27 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 65 | [Mistral Medium](https://noometry.com/models/mistral-medium) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 763.98 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 66 | [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 745.17 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 67 | [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | 737.95 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 68 | [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | 718.67 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 69 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 715.52 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 70 | [Step 3.7 Flash](https://noometry.com/models/step-3-7-flash) | [![](/logos/stepfun.svg) StepFun](https://noometry.com/providers/stepfun) | 694.12 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 71 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 674.77 | 16K | [Epoch AI](https://epoch.ai/benchmarks) | | | 72 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 670.15 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 73 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 661.88 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 74 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 655.35 | 32K | [Epoch AI](https://epoch.ai/benchmarks) | | | 75 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 653.48 | 32K | [Epoch AI](https://epoch.ai/benchmarks) | | | 76 | [MiniMax-M3](https://noometry.com/models/minimax-m3) | [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 640.02 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 77 | [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1) | [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 623.83 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 78 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 621.92 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 79 | [MiniMax-M2.5](https://noometry.com/models/minimax-m2-5) | [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 618.17 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 80 | [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) | [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 599.25 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 81 | [Kimi K2 (Jul 2025)](https://noometry.com/models/kimi-k2) | [Moonshot AI](https://noometry.com/providers/moonshot) | 597.5 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 82 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | 575.62 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 83 | [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | [OpenAI](https://noometry.com/providers/openai) | 566.05 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 84 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | 558.1 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 85 | [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | [Xiaomi](https://noometry.com/providers/xiaomi) | 513.95 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 86 | [Mistral Small](https://noometry.com/models/mistral-small) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 497.62 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 87 | [Qwen3-Coder 480B-A35B Instruct](https://noometry.com/models/qwen3-coder-480b-a35b-instruct) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 461.45 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 88 | [Qwen3 Coder Plus](https://noometry.com/models/qwen3-coder-plus) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 456.5 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 89 | [Ring-2.6-1T](https://noometry.com/models/ring-2-6-1t) | [![](/logos/ant-group.svg) Ant Group (inclusionAI)](https://noometry.com/providers/ant-group) | 432.57 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 90 | [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 399.48 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 91 | [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | [xAI](https://noometry.com/providers/xai) | 394.93 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 92 | [Qwen3 Max](https://noometry.com/models/qwen3-max) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 370.45 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 93 | [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 349.45 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 94 | [GLM-4.5](https://noometry.com/models/glm-4-5) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 344.82 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 95 | [GLM-4.6](https://noometry.com/models/glm-4-6) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 340.82 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 96 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 326.4 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 97 | [Gemini 2.5 Flash-Lite](https://noometry.com/models/gemini-2-5-flash-lite) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 325.9 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 98 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 303.55 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 99 | [Mercury 2.5](https://noometry.com/models/mercury-2-5) | [Inception](https://noometry.com/providers/inception) | 301.65 | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 100 | [Mistral Large](https://noometry.com/models/mistral-large) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 264.7 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 101 | [Amazon Nova Lite](https://noometry.com/models/amazon-nova-lite) | [Amazon](https://noometry.com/providers/amazon) | 236.25 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 102 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 221.8 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 103 | [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super) | [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia) | 213.9 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 104 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 172.97 | | [Epoch AI](https://epoch.ai/benchmarks) | | | 105 | [Codestral](https://noometry.com/models/codestral) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 137.78 | | [Epoch AI](https://epoch.ai/benchmarks) | | ## Compare the leaders - [GPT-6 Astra vs GPT-6 Sol](https://noometry.com/compare/gpt-6-astra-vs-gpt-6-sol) - [GPT-6 Astra vs GPT-5.6 Sol](https://noometry.com/compare/gpt-5-6-sol-vs-gpt-6-astra) - [GPT-6 Astra vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-gpt-6-astra) - [GPT-6 Astra vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-astra) - [GPT-6 Sol vs GPT-5.6 Sol](https://noometry.com/compare/gpt-5-6-sol-vs-gpt-6-sol) - [GPT-6 Sol vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-gpt-6-sol) ## Other coding benchmarks - [SWE-bench Verified](https://noometry.com/benchmarks/swe-bench-verified) - [DeepSWE](https://noometry.com/benchmarks/deepswe) - [FrontierCode](https://noometry.com/benchmarks/frontiercode) - [SWE-bench Verified (bash only)](https://noometry.com/benchmarks/swe-bench-bash-only) - [Aider Polyglot](https://noometry.com/benchmarks/aider-polyglot) - [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) - [CursorBench](https://noometry.com/benchmarks/cursorbench) - [SWE-bench Multilingual](https://noometry.com/benchmarks/swe-bench-multilingual) - [FrontierSWE](https://noometry.com/benchmarks/frontierswe) - [SciCode](https://noometry.com/benchmarks/scicode) - [GSO](https://noometry.com/benchmarks/gso-bench) - [WeirdML](https://noometry.com/benchmarks/weirdml) ## Frequently asked questions ### What does ALE-Bench measure? Hard optimization problems from AtCoder Heuristic Contests, scored with a contest-style performance rating. ### Which model has the highest ALE-Bench score? As of October 2026, GPT-6 Astra has the highest published ALE-Bench score on Noometry at 2,951, out of 105 models with results. ### What is the best open-weight model on ALE-Bench? Kimi K3 has the highest ALE-Bench score among open-weight models at 1,524, ranking 16 of 105 overall. ### Cite this page Noometry. (2026). ALE-Bench leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/ale-bench Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/ale-bench.md).