LiveBench · Coding
LiveBench / Coding · An equal-weight average of Coding and Agentic Coding, at 50% each.
What it measures and how
Coding and Agentic Coding are calculated separately, averaged at 50% each, and rounded to one decimal. This differs from selecting either category alone on the official site.
How this evidence is used
The average contributes one item of ranking evidence. Specialist tasks share a LiveBench evidence family. Global Average is reference only and is not counted again.
Evaluation results
Fixed rules select one representative configuration per public model. Anonymous test models are omitted. Original ranks are retained, with up to 30 models per evaluation.
| Source rank | Source model name | Raw result | Representative configuration |
|---|---|---|---|
| 1 | claude-opus-5-5-max-effortAnthropic | 80.5% | Max reasoning |
| 2 | deepseek-v4.1-flash-maxDeepSeek | 78.7% | Source default |
| 4 | claude-fable-5-1-max-effortAnthropic | 76.2% | Max reasoning |
| 5 | claude-fable-5-max-effortAnthropic | 74.1% | Max reasoning |
| 6 | claude-sonnet-5-5-max-effortanthropic | 73.8% | Max reasoning |
| 7 | smaug-agenticAbacus.AI | 73.6% | Source default |
| 8 | claude-opus-5-max-effortAnthropic | 73.3% | Max reasoning |
| 9 | muse-spark-1.3-xhighMeta | 72.6% | xHigh reasoning |
| 10 | kimi-k3Moonshot AI | 71.8% | Source default |
| 11 | muse-wonder-1.0-max— | 71.7% | Max reasoning |
| 12 | gpt-5.6-sol-maxOpenAI | 70.1% | Max reasoning |
| 13 | claude-sonnet-5-xhigh-effortAnthropic | 70.0% | xHigh reasoning |
| 14 | glm-5.3Z.ai | 69.9% | Source default |
| 15 | smaug-flashAbacus.AI | 69.1% | Source default |
| 16 | gpt-6-astra-maxOpenAI | 68.8% | Max reasoning |
| 17 | qwen3.8-maxAlibaba | 68.8% | Source default |
| 19 | gemini-3.7-flash-highGoogle | 68.6% | High reasoning |
| 20 | qwen3.8-27bAlibaba | 68.5% | Source default |
| 21 | smaug-miniAbacus.AI | 68.1% | Source default |
| 22 | gpt-5.5-xhighOpenAI | 68.1% | xHigh reasoning |
| 23 | glm-5.3-flashZ.ai | 67.9% | Source default |
| 24 | muse-spark-1.1-xhighMeta | 67.8% | xHigh reasoning |
| 25 | muse-spark-1.2-xhighMeta | 67.6% | xHigh reasoning |
| 26 | claude-haiku-5-5-max-effort— | 67.5% | Max reasoning |
| 27 | gpt-6.1-sol-maxopenai | 67.5% | Max reasoning |
| 28 | gpt-6-sol-maxOpenAI | 67.3% | Max reasoning |
| 29 | mistral-large-4-high— | 67.2% | Source default |
| 30 | qwen3.8-flash-nextAlibaba | 67.1% | Source default |
| 31 | grok-4.6xAI | 66.9% | Source default |
| 32 | deepseek-v4-flash-vision-expDeepSeek | 66.7% | Source default |
Evaluation limits & attribution
This average measures combined performance, not Coding alone. Official category and fine-tuned-model filters change scores and ranks. Organizer Abacus.AI also develops Smaug; exclusive results need independent corroboration.
Data license: Apache 2.0
LiveBench publishes the components. AIHOT averages the two categories equally and ranks them. This average and the AIHOT consensus index use different scales and cannot be added directly.