Coding

SWE-bench Verified: 2026 AI Leaderboard

Fix real GitHub issues in 12 open-source Python repos.

What it tests

SWE-bench Verified is a 500-issue subset of SWE-bench that has been human-validated as solvable. Each task is a real Python GitHub issue; the model is given the repo, the issue, and must produce a patch that makes the project's test suite pass.

How it is scored

Percentage of issues where the generated patch passes all hidden tests. This is end-to-end agentic coding, not just code-completion. Scores above 70% are state-of-the-art; a year ago it was 30%.

Why it matters

SWE-bench Verified is the closest industry-standard benchmark to 'can this model actually do my job'. It rewards code-reading, multi-file editing, and test-driven iteration -- not just autocomplete.

Leaderboard (4 models)

Sorted by SWE-bench Verifiedscore. Tier column shows the tool's overall AIToolTier rank, which blends this benchmark with pricing, features, and real-world usability.

#ModelTierSWE-bench Verified score
1DeepSeek
DeepSeek V4-Pro (SWE-bench + Arena Elo third-party verified post-launch; knowledge rows are V3.x baseline pending V4 figures). V4.1-Flash (2026-09-10) vendor-only so far: GPQA Diamond 90.9, DeepSWE 74.2, Terminal-Bench 2.1 90.6 -- third-party verification pending
A80.6%
2Codex (OpenAI)
GPT-5.2-Codex (HISTORICAL -- this model was RETIRED 2026-07-23; scores retained for trend context only). GPT-6 Sol and Luna joined Codex 2026-09-22: OpenAI reports DeepSWE v1.1 68.8% (Sol, max effort) and 66.6% (Luna, max) -- first-party, third-party verification pending; see Known Issues
A72%
3ChatGPT
GPT-5.5 (launched 2026-04-23; scores below are the GPT-5.4 baseline -- GPT-5.5 launch benchmarks per OpenAI are logged in Known Issues, pending third-party verification)
A72%
4Qwen (Alibaba)
Qwen3.5-397B MoE
A69.4%

About SWE-bench Verified

Creator
Princeton & OpenAI, 2023 (Verified subset 2024)
Unit
% (max 100)

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