SWE-rebench

Real GitHub issues collected every month after model release dates, so tasks are unlikely to be in training data. Nebius runs every model in the same tool-calling scaffold. Scores use the task window the site shows by default.

CategoryCoding
MetricResolved rate (%)
SourceSWE-rebench (original)
LicenseNone stated
Benchmark pageswe-rebench.com
StatusScored
Weight1.1 within Coding
FitDiscrimination 0.66, noise 0.21

Results

#ModelProviderResultDate
1 Claude Fable 5 High Anthropic 64.5% 2026-07-01
2 Grok 4.5 High xAI 63.8% 2026-07-01
3 Claude Opus 5 High Anthropic 63.4% 2026-07-01
4 GLM-5.2 High Zhipu AI 62.9% 2026-07-01
5 GPT-5.6 Sol Medium OpenAI 62.3% 2026-07-01
6 Claude Sonnet 5 High Anthropic 56.8% 2026-07-01
7 MiniMax-M3 MiniMax 47.2% 2026-07-01
8 MiMo-V2.5-Pro Xiaomi 46.5% 2026-07-01
9 GPT-5.6 Luna Medium OpenAI 43.6% 2026-07-01
10 DeepSeek V4 Pro 0423 High DeepSeek 40.2% 2026-07-01
11 Qwen3.6 27B Alibaba 31.2% 2026-07-01
12 Qwen3.6 35B-A3B Alibaba 24.7% 2026-07-01
13 Qwen3.5 35B-A3B Alibaba 17.1% 2026-07-01