SWE-bench Verified
Benchmark metadata from benchwiki — this page mirrors their record so scores can be joined to it. The original is canonical.
What it measures
A 500-task, engineer-reviewed subset of SWE-bench that became the standard repository-level coding-agent test.
- Primary metric
- resolved instances (%)
- Judge model
- not judged by a model
- Human baseline
- not reportedNo protocol-comparable aggregate human pass rate was published. Annotators estimated fix time, and each task has a human-authored pull request, but neither is a blind human baseline.
- Languages
- English, Python
Health
At 500 items, a 50% resolve rate has an approximate 95% binomial interval of ±4.4 points; repository clustering, flaky environments, and test defects add non-sampling uncertainty.
- Status evidence
- Classified saturated on 2026-02-17: under the standardized mini-SWE-agent 2.0.0 protocol, the leading results clustered at 76.8%, 75.8%, 75.8%, and 75.6%, limiting discrimination among frontier systems; separate contamination and task-quality concerns remain documented below.
- Saturated since
- 2026-02-17
- Refresh cycle
- static
- Test set public
- yes
Three professional developers screened each candidate for issue and test quality, but the issues, gold patches, and repository histories remain public and static.
Models scored on this benchmark
The reverse lookup, which is this site’s addition: every model here with a score on this benchmark. Independent measurements and vendor-reported numbers are kept apart rather than interleaved, because they are different claims.
Independently measured
| Model | Score | Harness | Measured | Provenance | Health |
|---|---|---|---|---|---|
| Claude Opus 4.7 (max)Anthropic | 83.5% | not reported | 2026-04-16 | ind. | saturatedcontaminated |
| gpt-5.5-pre-release (xhigh)OpenAI | 80.6% | not reported | 2026-04-23 | ind. | saturatedcontaminated |
| Gemini 3.5 Flash (high)Google DeepMind | 79.3% | not reported | 2026-05-19 | ind. | saturatedcontaminated |
| Claude Opus 4.6Anthropic | 78.7% | not reported | 2026-02-05 | ind. | saturatedcontaminateddisputed |
| GLM-5.2 (max)Z.ai (Zhipu AI) | 78.7% | not reported | 2026-06-16 | ind. | saturatedcontaminated |
| Qwen3.7-MaxAlibaba | 77.3% | not reported | 2026-05-19 | ind. | saturatedcontaminated |
| GPT-5.4 (high)OpenAI | 76.9% | not reported | 2026-03-05 | ind. | saturatedcontaminated |
| Qwen3.6-Max (preview)Alibaba | 76.7% | not reported | 2026-04-20 | ind. | saturatedcontaminated |
| Kimi K2.6Moonshot | 76.7% | not reported | 2026-04-20 | ind. | saturatedcontaminated |
| Claude Opus 4.5Anthropic | 76.7% | not reported | 2025-11-24 | ind. | saturatedcontaminated |
| Gemini 3.1 Pro Preview Custom ToolsGoogle DeepMind | 75.6% | not reported | 2026-02-19 | ind. | saturatedcontaminated |
| Claude Opus 4.6Anthropic | 75.6% | not reported | 2026-02-05 | ind. | saturatedcontaminateddisputed |
| Gemini 3 Flash PreviewGoogle DeepMind | 75.4% | not reported | 2025-12-17 | ind. | saturatedcontaminated |
| Claude Sonnet 4.6Anthropic | 75.2% | not reported | 2026-02-17 | ind. | saturatedcontaminated |
| GPT-5.3-Codex (high)OpenAI | 74.8% | not reported | 2026-02-05 | ind. | saturatedcontaminated |
| Glm 5.1Z.ai (Zhipu AI) | 74.2% | not reported | 2026-04-07 | ind. | saturatedcontaminated |
| Kimi K2.5Moonshot | 73.8% | not reported | 2026-01-27 | ind. | saturatedcontaminated |
| GPT-5.2 (high)OpenAI | 73.8% | not reported | 2025-12-11 | ind. | saturatedcontaminated |
| GPT-5 (high)OpenAI | 73.6% | not reported | 2025-08-07 | ind. | saturatedcontaminated |
| Claude Opus 4.1Anthropic | 73.3% | not reported | 2025-08-05 | ind. | saturatedcontaminated |
| Gemini 3 ProGoogle DeepMind | 72.9% | not reported | 2025-11-18 | ind. | saturatedcontaminated |
| GLM 5Z.ai (Zhipu AI) | 72.1% | not reported | 2026-02-11 | ind. | saturatedcontaminated |
| GPT-5 (medium)OpenAI | 71.5% | not reported | 2025-08-07 | ind. | saturatedcontaminated |
| Claude Sonnet 4.5Anthropic | 71.3% | not reported | 2025-09-29 | ind. | saturatedcontaminated |
| Claude Opus 4Anthropic | 70.7% | not reported | 2025-05-22 | ind. | saturatedcontaminated |
| GPT-5.1 (high)OpenAI | 68.0% | not reported | 2025-11-13 | ind. | saturatedcontaminateddisputed |
| GPT-5.1 (high)OpenAI | 65.9% | not reported | 2025-11-13 | ind. | saturatedcontaminateddisputed |
| GPT-5 Mini (medium)OpenAI | 64.7% | not reported | 2025-08-07 | ind. | saturatedcontaminated |
| o3 (medium)OpenAI | 62.3% | not reported | 2025-04-16 | ind. | saturatedcontaminated |
| Claude 3.7Anthropic | 61.0% | not reported | 2025-02-24 | ind. | saturatedcontaminated |
| Qwen3.6-PlusAlibaba | 57.9% | not reported | 2026-03-31 | ind. | saturatedcontaminated |
| Gemini 2.5 ProGoogle | 57.6% | not reported | 2025-06-17 | ind. | saturatedcontaminated |
| GPT-4.1OpenAI | 48.5% | not reported | 2025-04-14 | ind. | saturatedcontaminated |
| GPT-4oOpenAI | 31.0% | not reported | 2024-11-20 | ind. | saturatedcontaminated |
Trajectory
Best score measured on this site
As benchwiki records it
Where results are tracked
Leaderboards benchwiki lists for this benchmark. These are links out, not sources this site ingests — no score below comes from any of them.
Source
This record is maintained by benchwiki and mirrored here. Read the original. Upstream last updated 2026-08-03; fetched 2026-10-19 by this site.