Benchmarks / Coding

DeepSWE v1

Original DeepSWE leaderboard: pass@1 on 113 long-horizon SWE tasks with mini-swe-agent. Used as fallback for models not yet run on v1.1.

21models
–Open Index weight
–last updated
Datacurvepublisher

DeepSWE v1

Higher is better · best effort per model

Chart settings
21 of 21 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-5.5xhigh70.0%$6.61mini-swe-agent
2Opus 4.8max58.2%$12.58mini-swe-agent
3GPT-5.4xhigh55.5%$4.38mini-swe-agent
4Opus 4.7max54.2%$18.19mini-swe-agent
5GLM 5.2max41.5%$3.95mini-swe-agent
6Sonnet 4.6high31.8%$5.52mini-swe-agent
7Gemini 3.5 Flashmedium28.3%$7.42mini-swe-agent
8Opus 4.6max27.6%$5.39mini-swe-agent
9GPT-5.4 Minixhigh24.3%$2.08mini-swe-agent
10Kimi K2.6max23.9%$3.16mini-swe-agent
11MiniMax M3max20.4%$5.57mini-swe-agent
12MiMo V2.5 Proxhigh19.5%$1.99mini-swe-agent
13Qwen 3.7 Maxmax17.7%$2.12mini-swe-agent
14GLM 5.1max17.5%$7.46mini-swe-agent
15Grok Build 0.1–13.1%$6.60mini-swe-agent
16Gemini 3.1 Prohigh9.7%$1.84mini-swe-agent
17DeepSeek V4 Promax7.5%$4.22mini-swe-agent
18Gemini 3 Flashhigh5.1%$1.53mini-swe-agent
19Qwen 3.6 Plusmax2.7%$4.25mini-swe-agent
20Haiku 4.5xhigh0.2%$0.838mini-swe-agent
21MiniMax M2.7high0.2%$0.704mini-swe-agent