integration bench rev 01 · mean task score · public task set
#ModelPass 1Resolved
1 Claude Fable 5.1xhigh69.35±4.3870%
2 Claude Fable 5xhigh67.68±4.7268%
3 GPT-6 Astraxhigh65.40±5.1266%
4 GPT-5.6 Solxhigh63.62±5.1464%
5 DeepSeek V4 Pro (max)max63.35±4.9164%
6 Tencent HY 4 Previewmax62.62±5.3664%
7 Qwen 3.8 2.4T A95Bdefault61.68±4.5762%
8 Grok 4.6default61.18±5.4862%
9 Gemini 3.8 Flashhigh59.68±4.8360%
10 GLM 5.3 Flashmax59.37±5.6360%
11 Claude Opus 5xhigh59.32±5.0760%
12 Qwen 3.8 27B (xhigh)xhigh57.73±4.4658%
13 Muse Spark 1.3high57.66±5.2258%
14 Kimi K3default57.47±4.9658%
15 GLM 5.3max57.31±5.4158%
16 DeepSeek V4 Flash (max)max55.68±4.6856%
17 Claude Sonnet 5xhigh53.85±4.8854%
18 GPT-5.6 Terraxhigh53.79±5.3354%
19 Muse Spark 1.2default53.70±4.5454%
20 GPT-5.6 Lunaxhigh51.78±5.5852%
21 GLM 5.2 (xhigh)xhigh49.68±5.8650%
Task Score of the published attempt, with its expected range on re-runs
This is the short version. Every number above comes from a recorded run. 1050 of them are published, each with every tool call, every vendor request and the diff. Replay them at integrationbench.com →
A research project from HeyMilo