Coding benchmark # SciCode leaderboard > SciCode results for 121 AI models, led by Claude Opus 5.5 at 66.9%. What the benchmark measures, who runs it, and a source for every score. - Canonical page: https://noometry.com/benchmarks/scicode - Last updated: 2026-10-10 - Title: SciCode Leaderboard (October 2026): Scores by Model As of October 2026, Claude Opus 5.5 has the highest published SciCode score on Noometry at 66.9%, out of 121 models with results. Last verified October 10, 2026 ## About SciCode Scientific research coding problems from physics, chemistry, biology and math, broken into sub-steps. - **Category:** [Coding](https://noometry.com/best/coding) - **Introduced:** 2024 - **Format:** Code generation - **Unit:** Percent (random guessing ≈ 0%) - **Official site:** [scicode-bench.github.io](https://scicode-bench.github.io) ## Top 15 models Top models on SciCode 1. Claude Opus 5.5 66.9% 2. Claude Fable 5.1 63.1% 3. Gemini 4 Argon 61.8% 4. Claude Fable 5 61% 5. Claude Sonnet 5.5 61% 6. MiMo-V2.6-Pro 60.9% 7. Gemini 3.7 Flash 59.8% 8. Muse Spark 1.3 59.7% 9. Kimi K3 59.5% 10. GLM-5.3 59% 11. Gemini 3.1 Pro Preview 58.9% 12. Step 5 Preview 58.9% 13. Muse Spark 1.1 58.8% 14. Grok 4.7 57.8% 15. GPT-6 Sol 57.6% 16. 5055606570 Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise) ## All results SciCode results by model | # | Model | Provider | Score | Setting | Source | Date | | --- | --- | --- | --- | --- | --- | --- | | 1 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 66.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 2 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 63.1% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 3 | [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 61.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 4 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 61% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 5 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 61% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 6 | [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 60.9% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 7 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 59.8% | medium | [Epoch AI](https://epoch.ai/benchmarks) | | | 8 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 59.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 9 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 59.5% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 10 | [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 59% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 11 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 58.9% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 12 | [Step 5 Preview](https://noometry.com/models/step-5-preview) | [![](/logos/stepfun.svg) StepFun](https://noometry.com/providers/stepfun) | 58.9% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 13 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 58.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 14 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 57.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 15 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 57.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 16 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 57.1% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 17 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 56.6% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 18 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 56.6% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 19 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 56.5% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 20 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 56.5% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 21 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 56.4% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 22 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 56.4% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 23 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 56.1% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 24 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | [OpenAI](https://noometry.com/providers/openai) | 55.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 25 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 55% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 26 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 54.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 27 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 54.5% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 28 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 54.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 29 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 54.1% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 30 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 53.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 31 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 53.5% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 32 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 53.5% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 33 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 53.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 34 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 53.1% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 35 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 52.7% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 36 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 51.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 37 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 51.6% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 38 | [Muse Spark](https://noometry.com/models/muse-spark) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 51.5% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 39 | [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | 51.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 40 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 51% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 41 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 50.5% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 42 | [Grok Build 0.1](https://noometry.com/models/grok-build-0-1) | [xAI](https://noometry.com/providers/xai) | 50.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 43 | [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 50.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 44 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 49.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 45 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 49.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 46 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | 49% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 47 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 48.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 48 | [Inkling-Small](https://noometry.com/models/inkling-small) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 48.7% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 49 | [GPT-5.5 Instant](https://noometry.com/models/gpt-5-5-instant) | [OpenAI](https://noometry.com/providers/openai) | 48.6% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 50 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | [Moonshot AI](https://noometry.com/providers/moonshot) | 47.5% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 51 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 47.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 52 | [MiniMax-M3](https://noometry.com/models/minimax-m3) | [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 47.1% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 53 | [Inkling](https://noometry.com/models/inkling) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 47% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 54 | [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) | [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 47% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 55 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 46.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 56 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 46.8% | max | [Epoch AI](https://epoch.ai/benchmarks) | | | 57 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 46.6% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | | | 58 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 45.5% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 59 | [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 45.1% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 60 | [Muse Glimmer](https://noometry.com/models/muse-glimmer) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 44.9% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 61 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 44.7% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 62 | [GLM-5.1](https://noometry.com/models/glm-5-1) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 43.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 63 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 43.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 64 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 43.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 65 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 43.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 66 | [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | [Xiaomi](https://noometry.com/providers/xiaomi) | 43.1% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 67 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 42.9% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 68 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 42.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 69 | [Nova 2.0 Pro Preview](https://noometry.com/models/nova-2-0-pro-preview) | [Amazon](https://noometry.com/providers/amazon) | 42.7% | medium | [Epoch AI](https://epoch.ai/benchmarks) | | | 70 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 42.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 71 | [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) | 42.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 72 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 41.9% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 73 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 41.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 74 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 40.7% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 75 | [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 40.6% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 76 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 40.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 77 | [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) | [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia) | 40.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 78 | [Mistral Medium](https://noometry.com/models/mistral-medium) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 40.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 79 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 40% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 80 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 40% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 81 | [Step 3.7 Flash](https://noometry.com/models/step-3-7-flash) | [![](/logos/stepfun.svg) StepFun](https://noometry.com/providers/stepfun) | 40% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 82 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 39.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 83 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 39.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 84 | [Magistral Medium](https://noometry.com/models/magistral-medium) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 39.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 85 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 38.9% | thinking | [Epoch AI](https://epoch.ai/benchmarks) | | | 86 | [Mercury 2](https://noometry.com/models/mercury-2) | [Inception](https://noometry.com/providers/inception) | 38.7% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 87 | [Mercury 2.5](https://noometry.com/models/mercury-2-5) | [Inception](https://noometry.com/providers/inception) | 38.5% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 88 | [GLM-4.6](https://noometry.com/models/glm-4-6) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 38.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 89 | [Command A Plus](https://noometry.com/models/command-a-plus) | [![](/logos/cohere.svg) Cohere](https://noometry.com/providers/cohere) | 37.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 90 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 37.3% | none | [Epoch AI](https://epoch.ai/benchmarks) | | | 91 | [Mistral Large](https://noometry.com/models/mistral-large) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 36.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 92 | [Trinity Large Thinking](https://noometry.com/models/trinity-large-thinking) | [![](/logos/arcee.svg) Arcee AI](https://noometry.com/providers/arcee) | 36.1% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 93 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | 36% | low | [Epoch AI](https://epoch.ai/benchmarks) | | | 94 | [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super) | [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia) | 36% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 95 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 35.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 96 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 35.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 97 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 35.7% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 98 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 35.6% | none | [Epoch AI](https://epoch.ai/benchmarks) | | | 99 | [Qwen3 32B](https://noometry.com/models/qwen3-32b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 35.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 100 | [Magistral Small](https://noometry.com/models/magistral-small) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 35.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 101 | [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | [OpenAI](https://noometry.com/providers/openai) | 34.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 102 | [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 33.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 103 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 33.1% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 104 | [Qwen3 Coder Next](https://noometry.com/models/qwen3-coder-next) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 32.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 105 | [Qwen3 14B](https://noometry.com/models/qwen3-14b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 31.6% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 106 | [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 29.3% | none | [Epoch AI](https://epoch.ai/benchmarks) | | | 107 | [Devstral Small 2505](https://noometry.com/models/devstral-small) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 28.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 108 | [Qwen3.5-9B](https://noometry.com/models/qwen3-5-9b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 27.5% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 109 | [Claude 3.5 Haiku](https://noometry.com/models/claude-3-5-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 27.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 110 | [Mistral Small](https://noometry.com/models/mistral-small) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 26.5% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 111 | [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 26% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 112 | [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | 25.9% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 113 | [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | 25.9% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 114 | [Granite 4.1 30B](https://noometry.com/models/granite-4-1-30b) | [IBM](https://noometry.com/providers/ibm) | 25.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 115 | [Solar Pro 3](https://noometry.com/models/solar-pro-3) | [![](/logos/upstage.svg) Upstage](https://noometry.com/providers/upstage) | 24.7% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 116 | [Qwen3 8B](https://noometry.com/models/qwen3-8b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 22.6% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 117 | [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 21.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 118 | [Gemma 3 12B](https://noometry.com/models/gemma-3-12b) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 17.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 119 | [Llama 4 Scout](https://noometry.com/models/llama-4-scout) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 17% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 120 | [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 13.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 121 | [Phi-4 Mini](https://noometry.com/models/phi-4-mini) | [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 10.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | ## Compare the leaders - [Claude Opus 5.5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-5-5) - [Claude Opus 5.5 vs Gemini 4 Argon](https://noometry.com/compare/claude-opus-5-5-vs-gemini-4-argon) - [Claude Opus 5.5 vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-claude-opus-5-5) - [Claude Opus 5.5 vs Claude Sonnet 5.5](https://noometry.com/compare/claude-opus-5-5-vs-claude-sonnet-5-5) - [Claude Fable 5.1 vs Gemini 4 Argon](https://noometry.com/compare/claude-fable-5-1-vs-gemini-4-argon) - [Claude Fable 5.1 vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-claude-fable-5-1) ## 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) - [GSO](https://noometry.com/benchmarks/gso-bench) - [WeirdML](https://noometry.com/benchmarks/weirdml) - [LMArena Coding](https://noometry.com/benchmarks/arena-coding) ## Frequently asked questions ### What does SciCode measure? Scientific research coding problems from physics, chemistry, biology and math, broken into sub-steps. ### Which model has the highest SciCode score? As of October 2026, Claude Opus 5.5 has the highest published SciCode score on Noometry at 66.9%, out of 121 models with results. ### What is the best open-weight model on SciCode? MiMo-V2.6-Pro has the highest SciCode accuracy among open-weight models at 60.9%, ranking 6 of 121 overall. ### Cite this page Noometry. (2026). SciCode leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/scicode Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/scicode.md).