SWE-Bench Pro
1,865 long-horizon issue-resolution tasks from 41 repos in four languages. Agent patch must pass hidden tests. Pass@1.
731 public, 858 held-out and 276 commercial tasks. Copyleft repos reduce contamination. Vendor-reported scores differ from Scale runs. In 2026-06 Cursor found that 63% of successful Opus 4.8 Max solves looked up the fix. With git history sealed and no internet, that score fell from 87.1% to 73.0%.
In the authors’ words
We introduce SWE-Bench Pro, a substantially more challenging benchmark that builds upon the best practices of SWE-BENCH [25], but is explicitly designed to capture realistic, complex, enterprise-level problems beyond the scope of SWE-BENCH. SWE-BENCH PRO contains 1,865 problems sourced from a diverse set of 41 actively maintained repositories spanning business applications, B2B services, and developer tools. The benchmark is partitioned into a public set with open access to problems sourced from 11 repositories, a held-out set of 12 repositories and a commercial set of 18 proprietary repositories where we have formal partnership agreements with early-stage startups. Problems in the held-out and the commercial set are not publicly accessible, but we release results on the commercial set. Our benchmark features long-horizon tasks that may require hours to days for a professional software engineer to complete, often involving patches across multiple files and substantial code modifications. All tasks are human-verified and augmented with sufficient context to ensure resolvability. To better understand these limitations, we cluster the failure modes observed in the collected agent trajectories for a clearer characterization of the error patterns exhibited by current models. Overall, SWE-BENCH PRO provides a contamination-resistant testbed that more faithfully captures the complexity and diversity of real-world software development, advancing the pursuit of truly autonomous software engineering agents at a professional level.
- 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
- Code A program or patch run against tests.
Muse Spark 1.1 leads with 61.5% among models released by Jul 2026
Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
The newest model with a score here came out in Jul 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 61.5
Muse Spark 1.1
- 59.1 GPT-5.4
- 55.0
Muse Spark
- 51.9 Claude Opus 4.6
- 46.1
Gemini 3.1 Pro
- 45.9 Claude Opus 4.5
- 43.6 Claude Sonnet 4.5
- 43.3
Gemini 3 Pro
- 42.7 Claude Sonnet 4
- 41.8 GPT-5
- 41.0 GPT-5.2 Codex
- 39.5 Claude Haiku 4.5
- 38.7
Qwen3-Coder-480B-A35B
- 36.8
MiniMax-M2.1
- 34.6
Gemini 3 Flash
- 29.9 GPT-5.2
- 27.7 Kimi K2
- 21.4
Qwen3-235B-A22B
- 16.2 gpt-oss-120b
- 15.6
DeepSeek-V3.2
- 11.4
Gemma 3 27B
- 11.2
Llama 3.1-405B
- 9.67 GLM-4.6
- 5.24
Llama 4 Maverick
- 1.51 codestral-2405
- 1
Muse Spark 1.1 61.5%
- 2 GPT-5.4 xhigh 59.1%
- 3
Muse Spark 55%
- 4 Claude Opus 4.6 thinking 51.9%
- 5
Gemini 3.1 Pro thinking 46.1%
- 6 Claude Opus 4.5 45.9%
- 7 Claude Sonnet 4.5 43.6%
- 8
Gemini 3 Pro 43.3%
- 9 Claude Sonnet 4 42.7%
- 10 GPT-5 high 41.8%
- 11 GPT-5.2 Codex 41%
- 12 Claude Haiku 4.5 39.5%
- 13
Qwen3-Coder-480B-A35B 38.7%
- 14
MiniMax-M2.1 36.8%
- 15
Gemini 3 Flash 34.6%
- 16 GPT-5.2 29.9%
- 17 Kimi K2 Jul 2025 27.7%
- 18
Qwen3-235B-A22B 21.4%
- 19 gpt-oss-120b 16.2%
- 20
DeepSeek-V3.2 15.6%
- 21
Gemma 3 27B 11.4%
- 22
Llama 3.1-405B 11.2%
- 23 GLM-4.6 9.67%
- 24
Llama 4 Maverick 5.24%
- 25 codestral-2405 1.51%
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 61.5% | mini-SWE-agent | Jul 2026 | Official leaderboard |
| 2 | GPT-5.4 | 59.1% | xhigh, mini-SWE-agent | Mar 2026 | Official leaderboard |
| 3 | | 55% | mini-SWE-agent | Apr 2026 | Official leaderboard |
| 4 | Claude Opus 4.6 | 51.9% | thinking, mini-SWE-agent | Feb 2026 | Official leaderboard |
| 5 | | 46.1% | thinking, mini-SWE-agent | Feb 2026 | Official leaderboard |
| 6 | Claude Opus 4.5 | 45.9% | SWE-agent | Nov 2025 | Official leaderboard |
| 7 | Claude Sonnet 4.5 | 43.6% | SWE-agent | Sep 2025 | Official leaderboard |
| 8 | | 43.3% | SWE-agent | Nov 2025 | Official leaderboard |
| 9 | Claude Sonnet 4 | 42.7% | SWE-agent | May 2025 | Official leaderboard |
| 10 | GPT-5 | 41.8% | high, SWE-agent | Aug 2025 | Official leaderboard |
| 11 | GPT-5.2 Codex | 41% | SWE-agent | Dec 2025 | Official leaderboard |
| 12 | Claude Haiku 4.5 | 39.5% | SWE-agent | Oct 2025 | Official leaderboard |
| 13 | | 38.7% | SWE-agent | Jul 2025 | Official leaderboard |
| 14 | | 36.8% | SWE-agent | Dec 2025 | Official leaderboard |
| 15 | | 34.6% | SWE-agent | Dec 2025 | Official leaderboard |
| 16 | GPT-5.2 | 29.9% | SWE-agent | Dec 2025 | Official leaderboard |
| 17 | Kimi K2 Jul 2025 | 27.7% | SWE-agent | Jul 2025 | Official leaderboard |
| 18 | | 21.4% | SWE-agent | Apr 2025 | Official leaderboard |
| 19 | gpt-oss-120b | 16.2% | SWE-agent | Aug 2025 | Official leaderboard |
| 20 | | 15.6% | SWE-agent | Dec 2025 | Official leaderboard |
| 21 | | 11.4% | SWE-agent | Mar 2025 | Official leaderboard |
| 22 | | 11.2% | SWE-agent | Jul 2024 | Official leaderboard |
| 23 | GLM-4.6 | 9.67% | SWE-agent | Sep 2025 | Official leaderboard |
| 24 | | 5.24% | SWE-agent | Apr 2025 | Official leaderboard |
| 25 | codestral-2405 | 1.51% | SWE-agent | Official leaderboard |
Labs report scores for 77 models in their cards. We plot every source in the charts below.
6 models have held number one since its release in Sep 2025
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.
The best score passed 85% in Sep 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
21 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 22 Oct 2026 | 54.3 | SWE Pro | |
| 15 Oct 2026 | 51.8 | SWE-bench Pro (OpenCode harness) | |
| 13 Oct 2026 | 68.7 | SWE-bench Pro (LingCode) | |
| 7 Oct 2026 | Claude Haiku 5.5 | 64.8 | SWE-Bench Pro |
| 5 Oct 2026 | Beam 1.0 | 65.5 | SWE Bench Pro v1 |
| 28 Sep 2026 | Claude Sonnet 5.5 | 81.3 | SWE-Bench Pro |
| 22 Sep 2026 | Claude Opus 5.5 | 89.9 | SWE-bench Pro |
| 18 Sep 2026 | 63.3 | SWE-bench Pro (Claude Code, Qwen-corrected tasks) | |
| 13 Sep 2026 | 68.5 | SWE-bench-Pro (Mini-SWE-Agent, anti-hack configs) | |
| 1 Sep 2026 | Claude Fable 5.1 | 81.2 | SWE-bench Pro |
| 28 Aug 2026 | 65.7 | SWE-bench Pro | |
| 26 Aug 2026 | 62.5 | Agentic coding SWE-bench Pro (Claude Code, Qwen-corrected tasks) | |
| 25 Aug 2026 | Granite 4.2 30B | 33.3 | SWE Bench Pro |
| 14 Aug 2026 | 61.7 | Agentic coding SWE-bench Pro (Claude Code, Qwen-corrected tasks) | |
| 10 Aug 2026 | 51.2 | SWE-Bench Pro | |
| 3 Aug 2026 | 67.7 | SWE-bench Pro | |
| 30 Jul 2026 | 55.9 | SWEBench Pro public | |
| 24 Jul 2026 | Claude Opus 5 | 79.2 | SWE-bench Pro |
| 23 Jul 2026 | 46 | SWE-bench Pro | |
| 21 Jul 2026 | 59.4 | SWE-Bench Pro (Public Dataset) | |
| 21 Jul 2026 | 54.2 | SWE-Bench Pro (Public) | |
| 21 Jul 2026 | 58.7 | SWE-Bench Pro (Public) | |
| 16 Jul 2026 | Grok 4.5 | 64.7 | SWE Bench Pro resolve rate |
| 15 Jul 2026 | 54.3 | SWEBench Pro Public | |
| 9 Jul 2026 | GPT-5.6 Luna | 62.7 | SWE-Bench Pro |
| 9 Jul 2026 | GPT-5.6 Terra | 63.4 | SWE-Bench Pro |
| 9 Jul 2026 | 61.5 | SWE-Bench Pro (Diverse software engineering) | |
| 6 Jul 2026 | 65.2 | SWE-Bench Pro | |
| 5 Jul 2026 | 59.5 | SWE-bench Pro | |
| 2 Jul 2026 | 47.6 | SWE-Bench Pro | |
| 2 Jul 2026 | 57.9 | SWE-bench Pro | |
| 30 Jun 2026 | Claude Sonnet 5 | 63.2 | Agentic coding SWE-bench Pro |
| 16 Jun 2026 | GLM-5.2 | 62.1 | SWE-bench Pro |
| 9 Jun 2026 | 40.2 | SWE-Bench Pro (SWE-agent v1.1.0) | |
| 9 Jun 2026 | Claude Fable 5 | 80.3 | Agentic coding SWE-Bench Pro |
| 2 Jun 2026 | 51.2 | SWE-Bench Pro | |
| 2 Jun 2026 | 52.8 | SWE-Bench Pro | |
| 1 Jun 2026 | 57.6 | SWE-Pro (Qwen-corrected tasks) | |
| 1 Jun 2026 | 59 | SWE-Bench Pro | |
| 29 May 2026 | 56.3 | SWE-Bench Pro | |
| 28 May 2026 | Claude Opus 4.8 | 69.2 | Agentic coding SWE-Bench Pro |
| 20 May 2026 | 60.6 | SWE-Pro | |
| 19 May 2026 | 55.1 | SWE-Bench Pro (Public) (Single attempt) | |
| 28 Apr 2026 | 44.5 | SWE-Bench Pro (mean pass@1 over 3 runs) | |
| 28 Apr 2026 | 46.9 | SWE-Bench Pro (mean pass@1 over 3 runs) | |
| 28 Apr 2026 | 46.6 | SWE-Bench Pro | |
| 27 Apr 2026 | MiMo-V2.5-Pro | 57.2 | SWE-Bench Pro |
| 24 Apr 2026 | 55.4 | SWE Pro (Resolved) | |
| 22 Apr 2026 | 53.5 | SWE-bench Pro (Qwen-corrected tasks) | |
| 22 Apr 2026 | MiMo-V2.5 | 56.1 | SWE-Bench Pro |
| 20 Apr 2026 | 57.3 | SWE-bench Pro Agentic Coding | |
| 20 Apr 2026 | Kimi K2.6 | 58.6 | SWE-Bench Pro |
| 16 Apr 2026 | Claude Opus 4.7 | 64.3 | Agentic coding SWE-bench Pro |
| 15 Apr 2026 | 49.5 | SWE-bench Pro (Qwen-corrected tasks) | |
| 8 Apr 2026 | 52.4 | SWE-Bench Pro (Diverse Agentic Coding) | |
| 7 Apr 2026 | SWE-1.6 | 50.4 | SWE-Bench Pro (731 agentic coding tasks across 41 repos) |
| 7 Apr 2026 | GLM-5.1 | 58.4 | SWE-Bench Pro |
| 7 Apr 2026 | Claude Mythos Preview | 77.8 | SWE-bench Pro |
| 2 Apr 2026 | 56.6 | SWE-bench Pro | |
| 18 Mar 2026 | 56.2 | SWE Bench Pro (SWE-Pro 56.22%) | |
| 17 Mar 2026 | GPT-5.4 Nano | 52.4 | SWE-Bench Pro (Public) |
| 17 Mar 2026 | GPT-5.4 Mini | 54.4 | SWE-Bench Pro (Public) |
| 5 Mar 2026 | GPT-5.4 | 57.7 | SWE-Bench Pro (Public) |
| 19 Feb 2026 | 54.2 | SWE-Bench Pro (Public) (Single attempt) | |
| 14 Feb 2026 | 46.9 | SWE-Bench Pro | |
| 12 Feb 2026 | GPT-5.3-Codex-Spark | 51.5 | SWE-Bench Pro, xhigh |
| 12 Feb 2026 | 55.4 | SWE-Bench Pro | |
| 5 Feb 2026 | GPT-5.3 Codex | 56.8 | SWE-Bench Pro (Public) |
| 2 Feb 2026 | 44.3 | SWE-Bench Pro (w/ SWE-Agent) | |
| 27 Jan 2026 | Kimi K2.5 | 50.7 | SWE-Bench Pro |
| 18 Dec 2025 | GPT-5.2 Codex | 56.4 | SWE-Bench Pro |
| 11 Dec 2025 | GPT-5.2 | 55.6 | SWE-Bench Pro (public) Software engineering |
| 29 Oct 2025 | SWE-1.5 | 40.1 | SWE-Bench Pro, 731 tasks (Cascade harness) |
35 system cards report it, from 14 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 19 Oct 2026 | | 51.2 | SWE-Bench Pro, high, 51.6 xhigh (Tables 2 and 5) | Capabilities |
| 15 Oct 2026 | | 51.8 | SWE-bench Pro, OpenCode harness (Table 10). Claude Code harness gives 49.45 (3.10) | Capabilities |
| 7 Oct 2026 | Claude Haiku 5.5 system card | 64.8 | SWE-Bench Pro, average of five trials, max effort (Table 8.1.A) | Capabilities |
| 28 Sep 2026 | Claude Sonnet 5.5 system card | 81.3 | SWE-Bench Pro, average of five trials (Table 8.1.A) | Capabilities |
| 22 Sep 2026 | | 63.3 | SWE-bench Pro, Claude Code harness, Qwen-corrected tasks (Table 2) | Capabilities |
| 22 Sep 2026 | Claude Opus 5.5 system card | 89.9 | SWE-bench Pro, average of five trials, max effort (Table 8.1.A, 8.2) | Capabilities |
| 1 Sep 2026 | Claude Fable 5.1 system card | 81.2 | SWE-bench Pro, average of 5 trials, adaptive thinking max effort (Table 8.1.A) | Capabilities |
| 30 Jul 2026 | | 55.9 | SWEBench Pro public (5. Evaluations table) | Capabilities |
| 24 Jul 2026 | Claude Opus 5 system card | 79.2 | SWE-bench Pro, average of five trials, adaptive thinking at max effort (Table 8.1.A, 8.2) | Capabilities |
| 21 Jul 2026 | | 58.7 | SWE-Bench Pro (Public) (results table, p.4) | Capabilities |
| 21 Jul 2026 | | 54.2 | SWE-Bench Pro (Public) (results table, p.4) | Capabilities |
| 15 Jul 2026 | | 54.3 | SWEBench Pro Public (5. Evaluations table, effort 0.99) | Capabilities |
| 14 Jul 2026 | Grok 4.5 model card | 64.7 | SWE-Bench Pro, resolve rate, high, with reward-hacking controls (2.4) | Capabilities |
| 9 Jul 2026 | | 61.5 | SWE-Bench Pro (Figure 44) | Capabilities |
| 30 Jun 2026 | Claude Sonnet 5 system card | 63.2 | SWE-bench Pro, average of five trials, adaptive thinking at max effort (Table 8.1.A, 8.2) | Capabilities |
| 23 Jun 2026 | | 57.5 | SWE-Pro Bench (Table 5) | Capabilities |
| 13 Jun 2026 | | 53.8 | SWE-bench-Pro (Resolved), Claude Code scaffold, high, no xhigh value (Table 6) | Capabilities |
| 9 Jun 2026 | Claude Fable 5 system card | 80 | SWE-bench Pro, average of 5 trials, production safeguards including fallback to Opus 4.8 (Table 8.1.A, 8.2) | Capabilities |
| 2 Jun 2026 | | 52.8 | SWE-Bench Pro, bash and string-replace tools, 256k context (Table 11) | Capabilities |
| 2 Jun 2026 | | 51.2 | SWE-Bench Pro, pass rate, Copilot production harness (Coding table) | Capabilities |
| 28 May 2026 | Claude Opus 4.8 system card | 69.2 | SWE-bench Pro, average of five trials, max effort (Table 8.1.A, 8.2) | Capabilities |
| 26 May 2026 | | 56.2 | SWE-bench Pro, Claude Code scaffold, avg of 4 trials (Table 4) | Capabilities |
| 26 May 2026 | | 55.4 | SWE-bench Pro, Claude Code scaffold, avg of 4 trials (Table 4) | Capabilities |
| 25 May 2026 | | 46.3 | SWE-Bench Pro, pool harness, 500 steps, mean pass@1 over 4 runs, some task images and verifiers patched (Table 6) | Capabilities |
| 25 May 2026 | | 49.2 | SWE-Bench Pro, pool harness, 500 steps, mean pass@1 over 4 runs, some task images and verifiers patched (Table 7) | Capabilities |
| 19 May 2026 | | 53.9 | SWE-Bench Pro (Public), single attempt (results table, p.4) | Capabilities |
| 26 Apr 2026 | | 55.4 | SWE Pro (Resolved), DS-V4-Pro Max (Table 6) | Capabilities |
| 26 Apr 2026 | | 52.6 | SWE Pro (Resolved), DeepSeek-V4-Flash Max (Table 7) | Capabilities |
| 16 Apr 2026 | Claude Opus 4.7 system card | 64.3 | SWE-bench Pro, average of 5 trials (Table 8.1.A, 8.2) | Capabilities |
| 7 Apr 2026 | Claude Mythos Preview system card | 77.8 | SWE-bench Pro, adaptive thinking, max effort, average of 5 trials (Table 6.3.A, 6.4) | Capabilities |
| 28 Feb 2026 | | 42.7 | SWE-Bench-Pro, SWE-Agent. MiniSWE-Agent 38.7 (Table 4) | Capabilities |
| 19 Feb 2026 | | 54.2 | SWE-Bench Pro (Public), single attempt (results table, p.4) | Capabilities |
| 14 Feb 2026 | | 46.9 | SWE-Bench Pro (Table 11) | Capabilities |
| 30 Jan 2026 | Kimi K2.5 technical report | 50.7 | SWE-Bench Pro (public) (Table 4) | Capabilities |
| 24 Nov 2025 | Claude Opus 4.5 system card | 51.6 | SWE-bench Pro, 64k thinking, avg of 5 trials (Table 2.4.A; 52.0% with no thinking) | Capabilities |
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
More in Coding
- SWE-bench Verified In use 500 human-validated GitHub issues from 12 Python repos. Agent writes a patch that must pass hidden tests. Claude Opus 4.7 83.5%
- 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