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SWE-bench V

SWE-bench Verified

500 real GitHub issue fixes; gold standard for production coding

💻 Coding
Best: 88.6%
18 Models Evaluated
Champion

Claude Opus 4.8

Anthropic

88.6%

Best Score

Model Rankings

All models ranked by score on SWE-bench V. Scores are relative to the best score of 88.6%.

#ModelProviderScorevs Best
1Claude Opus 4.8Anthropic
88.6%
Best
2Claude Opus 4.7
Elo 1500
Anthropic
87.6%
-1.0%
3Claude Opus 4.6
Elo 1503
Anthropic
80.8%
-7.8%
4DeepSeek V4 Pro (Max)DeepSeek
80.6%
-8.0%
5MiniMax M2.5
Elo 1404
MiniMax
80.2%
-8.4%
6Claude Sonnet 4.6
Elo 1460
Anthropic
79.6%
-9.0%
7Gemini 3.1 Pro
Elo 1492
Google
78%
-10.6%
8GLM-5
Elo 1454
Zhipu AI
77.8%
-10.8%
9Kimi K2.5
Elo 1438
Moonshot
76.8%
-11.8%
10Qwen 3.5
Elo 1450
Alibaba
76.4%
-12.2%
11Gemini 3 Pro
Elo 1486
Google
75%
-13.6%
12Step-3.5-Flash
Elo 1389
Stepfun
74.4%
-14.2%
13MiMo-V2-Flash
Elo 1393
Xiaomi
73.4%
-15.2%
14DeepSeek V3.2
Elo 1423
DeepSeek
67.8%
-20.8%
15GPT-oss 120B
Elo 1355
OpenAI
62.4%
-26.2%
16GPT-5.5
Elo 1478
OpenAI
58.6%
-30.0%
17DeepSeek R1
Elo 1398
DeepSeek
49.2%
-39.4%
18Grok 3
Elo 1412
xAI
49%
-39.6%

Score Distribution

Claude Opus 4.8
88.6%
Claude Opus 4.7
87.6%
Claude Opus 4.6
80.8%
DeepSeek V4 Pro (Max)
80.6%
MiniMax M2.5
80.2%
Claude Sonnet 4.6
79.6%
Gemini 3.1 Pro
78%
GLM-5
77.8%
Kimi K2.5
76.8%
Qwen 3.5
76.4%

Run This Benchmark

Learn how to evaluate your own models on SWE-bench V.

SWE-bench V is a standardized benchmark for evaluating AI model capabilities.

To run this benchmark on your own models, visit the official benchmark page or leaderboard for detailed instructions, code, and evaluation scripts.

Data compiled from official model cards, public leaderboards, and independent evaluations.