Senior SWE-Bench
Agents build features and fix runtime bugs in real open-source repos from loose, natural instructions. Behavioral tests and codebase quality metrics give a tasteful solve rate.
100 tasks, 50 public. The leaderboard lists 23 models, led by Claude Opus 5.5 at 39.3% tasteful solves. Launched 2026-06-30.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
Claude Opus 5.5 leads with 39.3%
Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best.
- 39.3 Claude Opus 5.5
- 36.8 GPT-6 Astra
- 34.7 Claude Fable 5
- 34.7 GPT-5.6 Sol
- 34.7 Claude Opus 5
- 34.7 Claude Fable 5.1
- 30.5 Claude Opus 4.8
- 29.5 GPT-5.5
- 28.0 Claude Sonnet 5
- 27.7
Gemini 4 Argon
- 27.4 GPT-5.6 Terra
- 27.4 Grok 4.7
- 26.3 Grok 4.6
- 23.2 Grok 4.5
- 22.7
DeepSeek V4.1 Flash
- 21.1
MiniMax-M3
- 20.2 Kimi K3
- 18.1 Claude Opus 4.7
- 17.9 GLM-5.2
- 16.8 GPT-5.4
- 14.7
Gemini 3.7 Flash
- 6.32
Gemini 3.5 Flash
- 2.11
Gemini 3.1 Pro
- 1 Claude Opus 5.5 high 39.3%
- 2 GPT-6 Astra high 36.8%
- 3 Claude Fable 5 high 34.7%
- 4 GPT-5.6 Sol xhigh 34.7%
- 5 Claude Opus 5 high 34.7%
- 6 Claude Fable 5.1 medium 34.7%
- 7 Claude Opus 4.8 max 30.5%
- 8 GPT-5.5 xhigh 29.5%
- 9 Claude Sonnet 5 max 28%
- 10
Gemini 4 Argon medium 27.7%
- 11 GPT-5.6 Terra high 27.4%
- 12 Grok 4.7 xhigh 27.4%
- 13 Grok 4.6 high 26.3%
- 14 Grok 4.5 medium 23.2%
- 15
DeepSeek V4.1 Flash high 22.7%
- 16
MiniMax-M3 adaptive 21.1%
- 17 Kimi K3 max 20.2%
- 18 Claude Opus 4.7 max 18.1%
- 19 GLM-5.2 max 17.9%
- 20 GPT-5.4 xhigh 16.8%
- 21
Gemini 3.7 Flash high 14.7%
- 22
Gemini 3.5 Flash high 6.32%
- 23
Gemini 3.1 Pro high 2.11%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 | 39.3% | high, mini-swe-agent | Sep 2026 | Official leaderboard |
| 2 | GPT-6 Astra | 36.8% | high, mini-swe-agent | Sep 2026 | Official leaderboard |
| 3 | Claude Fable 5 | 34.7% | high, mini-swe-agent | Jun 2026 | Official leaderboard |
| 4 | GPT-5.6 Sol | 34.7% | xhigh, mini-swe-agent | Jul 2026 | Official leaderboard |
| 5 | Claude Opus 5 | 34.7% | high, mini-swe-agent | Jul 2026 | Official leaderboard |
| 6 | Claude Fable 5.1 | 34.7% | medium, mini-swe-agent | Sep 2026 | Official leaderboard |
| 7 | Claude Opus 4.8 | 30.5% | max, mini-swe-agent | May 2026 | Official leaderboard |
| 8 | GPT-5.5 | 29.5% | xhigh, mini-swe-agent | Apr 2026 | Official leaderboard |
| 9 | Claude Sonnet 5 | 28% | max, mini-swe-agent | Jun 2026 | Official leaderboard |
| 10 | | 27.7% | medium, mini-swe-agent | Sep 2026 | Official leaderboard |
| 11 | GPT-5.6 Terra | 27.4% | high, mini-swe-agent | Jul 2026 | Official leaderboard |
| 12 | Grok 4.7 | 27.4% | xhigh, mini-swe-agent | Sep 2026 | Official leaderboard |
| 13 | Grok 4.6 | 26.3% | high, mini-swe-agent | Aug 2026 | Official leaderboard |
| 14 | Grok 4.5 | 23.2% | medium, mini-swe-agent | Jul 2026 | Official leaderboard |
| 15 | | 22.7% | high, mini-swe-agent | Sep 2026 | Official leaderboard |
| 16 | | 21.1% | adaptive, mini-swe-agent | Jun 2026 | Official leaderboard |
| 17 | Kimi K3 | 20.2% | max, mini-swe-agent | Jul 2026 | Official leaderboard |
| 18 | Claude Opus 4.7 | 18.1% | max, mini-swe-agent | Apr 2026 | Official leaderboard |
| 19 | GLM-5.2 | 17.9% | max, mini-swe-agent | Jun 2026 | Official leaderboard |
| 20 | GPT-5.4 | 16.8% | xhigh, mini-swe-agent | Mar 2026 | Official leaderboard |
| 21 | | 14.7% | high, mini-swe-agent | Aug 2026 | Official leaderboard |
| 22 | | 6.32% | high, mini-swe-agent | May 2026 | Official leaderboard |
| 23 | | 2.11% | high, mini-swe-agent | Feb 2026 | Official leaderboard |
4 models have held number one since its release in Jun 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
More in Coding
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- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Opus 5.5 93.9%
- LiveCodeBench v6 In use Competitive programming problems collected after model cutoffs from LeetCode, AtCoder, Codeforces. Scored pass@1 on hidden tests.
DeepSeek-V4-Pro 93.5%
- DeepSWE In use 113 original long-horizon engineering tasks across 91 repos and five languages, written from scratch. Hand-written verifiers accept alternative solutions. GPT-6 Astra 74.1%
- SciCode In use Scientist-curated research coding problems split into subproblems across natural sciences. Code checked against test cases.
Seed2.1 Pro 59.8%
- Codeforces rating In use Model solves recent Codeforces contest problems. An Elo-style rating is computed from simulated contest performance.
DeepSeek V4.1 Flash 3,471