SWE-Bench Pro V2 Hard
Agents resolve the 51 SWE-Bench Pro V2 tasks that at least two of five model families failed. Graded with the V2 locked protocol.
The paper reports Hard scores from 52.9 to 98.0 while the full V2 set reaches 99.4. It is the hard config of the V2 dataset, and three of 54 candidates were removed after expert review.
- Released
- September 2026
- Kind
- Fixing real repositories
- Level
- Research frontier
- Scored
- Checked automatically
- Answers
- Code
- Tasks
- All public
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last in a launch post
- November 2026
- Last model added
- November 2026
- Scores refreshed
- November 12th, 2026
In the authors’ words
SWE-Bench Pro is a widely used benchmark of long-horizon software engineering tasks for coding agents. As agents improve, they reach task issues earlier agents never touched and interact with the evaluation environment in ways the original harness did not anticipate. We present SWE-Bench Pro V2, a revised public split built to keep the benchmark accurate as capabilities advance. Agentic audits, expert adjudication and blind re-implementation repaired or retired 480 of the 731 tasks: 23 contracted engineers spent 404 hours, each working in a language they write professionally, and every revised instruction was verified by a second engineer solving the task from the text alone. A hardened protocol restricts network access to the model endpoint and re-grades every patch in a clean container, so agents cannot retrieve upstream fixes or get credit for changes outside their patch. On the 642 V2 tasks frontier agents resolve up to 99.4% while other systems stay clearly separated, and a 51-task Hard split spreads systems from 52.9% to 98.0%. We release the benchmark and distill lessons for maintaining agent benchmarks over time.
Claude Opus 5 leads with 98%
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.
Claude Opus 5 leads with 98%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
- 98.0 Claude Opus 5
- 92.2 Claude Fable 5.1
- 92.2
Gemini 4 Argon
- 90.2 GPT-6 Astra
- 90.2
Muse Wonder
- 88.2 Claude Sonnet 5
- 88.2 Kimi K3
- 86.3 GPT-5.6 Terra
- 86.3
Inkling 2 Small
- 84.3
MiniMax-M3.1-Flash
- 84.3 GLM-5.3
- 82.4 GPT-5.6 Sol
- 82.3
Muse Spark Open
- 70.6 Claude Sonnet 5.5
- 58.8
Gemini 3.8 Flash
- 56.9
Inkling
- 52.9 Claude Haiku 5.5
- 25.5 Claude Haiku 4.5
- 1 Claude Opus 5 xhigh 98%
- 2 Claude Fable 5.1 high 92.2%
- 3
Gemini 4 Argon high 92.2%
- 4 GPT-6 Astra high 90.2%
- 5
Muse Wonder xhigh 90.2%
- 6 Claude Sonnet 5 xhigh 88.2%
- 7 Kimi K3 max 88.2%
- 8 GPT-5.6 Terra xhigh 86.3%
- 9
Inkling 2 Small 86.3%
- 10
MiniMax-M3.1-Flash xhigh 84.3%
- 11 GLM-5.3 max 84.3%
- 12 GPT-5.6 Sol xhigh 82.4%
- 13
Muse Spark Open xhigh 82.3%
- 14 Claude Sonnet 5.5 xhigh 70.6%
- 15
Gemini 3.8 Flash high 58.8%
- 16
Inkling xhigh 56.9%
- 17 Claude Haiku 5.5 high 52.9%
- 18 Claude Haiku 4.5 xhigh 25.5%
Source: Official SWE-Bench Pro V2 Hard leaderboard
- 98.0 Claude Opus 5
- 92.2 Claude Fable 5.1
- 92.2
Gemini 4 Argon
- 90.2 GPT-6 Astra
- 90.2
Muse Wonder
- 89.9 SWE-2 Flash
- 88.2 Claude Sonnet 5
- 88.2 Kimi K3
- 86.3 GPT-5.6 Terra
- 86.3
Inkling 2 Small
- 84.3
MiniMax-M3.1-Flash
- 84.3 GLM-5.3
- 82.4 GPT-5.6 Sol
- 82.3
Muse Spark Open
- 77.2 Beam 1.0
- 70.6 Claude Sonnet 5.5
- 58.8
Gemini 3.8 Flash
- 56.9
Inkling
- 52.9 Claude Haiku 5.5
- 25.5 Claude Haiku 4.5
- 1 Claude Opus 5 xhigh 98%
- 2 Claude Fable 5.1 high 92.2%
- 3
Gemini 4 Argon high 92.2%
- 4 GPT-6 Astra high 90.2%
- 5
Muse Wonder xhigh 90.2%
- 6 SWE-2 Flash 89.9%
- 7 Claude Sonnet 5 xhigh 88.2%
- 8 Kimi K3 max 88.2%
- 9 GPT-5.6 Terra xhigh 86.3%
- 10
Inkling 2 Small 86.3%
- 11
MiniMax-M3.1-Flash xhigh 84.3%
- 12 GLM-5.3 max 84.3%
- 13 GPT-5.6 Sol xhigh 82.4%
- 14
Muse Spark Open xhigh 82.3%
- 15 Beam 1.0 77.2%
- 16 Claude Sonnet 5.5 xhigh 70.6%
- 17
Gemini 3.8 Flash high 58.8%
- 18
Inkling xhigh 56.9%
- 19 Claude Haiku 5.5 high 52.9%
- 20 Claude Haiku 4.5 xhigh 25.5%
Sources: Official SWE-Bench Pro V2 Hard leaderboard and labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5 | 98% | xhigh, Claude Code | Jul 2026 | Official leaderboard |
| 2 | Claude Fable 5.1 | 92.2% | high, Claude Code | Sep 2026 | Official leaderboard |
| 3 | | 92.2% | high, mini-SWE-agent | Sep 2026 | Official leaderboard |
| 4 | GPT-6 Astra | 90.2% | high, Codex | Sep 2026 | Official leaderboard |
| 5 | | 90.2% | xhigh, mini-SWE-agent | Oct 2026 | Official leaderboard |
| 6 | Claude Sonnet 5 | 88.2% | xhigh, Claude Code | Jun 2026 | Official leaderboard |
| 7 | Kimi K3 | 88.2% | max, mini-SWE-agent | Jul 2026 | Official leaderboard |
| 8 | GPT-5.6 Terra | 86.3% | xhigh, Codex | Jul 2026 | Official leaderboard |
| 9 | | 86.3% | Nov 2026 | Official leaderboard | |
| 10 | | 84.3% | xhigh, mini-SWE-agent | Oct 2026 | Official leaderboard |
| 11 | GLM-5.3 | 84.3% | max, mini-SWE-agent | Aug 2026 | Official leaderboard |
| 12 | GPT-5.6 Sol | 82.4% | xhigh, Codex | Jul 2026 | Official leaderboard |
| 13 | | 82.3% | xhigh, mini-SWE-agent | Oct 2026 | Official leaderboard |
| 14 | Claude Sonnet 5.5 | 70.6% | xhigh, mini-SWE-agent | Sep 2026 | Official leaderboard |
| 15 | | 58.8% | high, mini-SWE-agent | Sep 2026 | Official leaderboard |
| 16 | | 56.9% | xhigh, mini-SWE-agent | Jul 2026 | Official leaderboard |
| 17 | Claude Haiku 5.5 | 52.9% | high, mini-SWE-agent | Oct 2026 | Official leaderboard |
| 18 | Claude Haiku 4.5 | 25.5% | xhigh, Claude Code | Oct 2025 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5 | 98% | xhigh, Claude Code | Jul 2026 | Official leaderboard |
| 2 | Claude Fable 5.1 | 92.2% | high, Claude Code | Sep 2026 | Official leaderboard |
| 3 | | 92.2% | high, mini-SWE-agent | Sep 2026 | Official leaderboard |
| 4 | GPT-6 Astra | 90.2% | high, Codex | Sep 2026 | Official leaderboard |
| 5 | | 90.2% | xhigh, mini-SWE-agent | Oct 2026 | Official leaderboard |
| 6 | SWE-2 Flash | 89.9% | Nov 2026 | Lab model card | |
| 7 | Claude Sonnet 5 | 88.2% | xhigh, Claude Code | Jun 2026 | Official leaderboard |
| 8 | Kimi K3 | 88.2% | max, mini-SWE-agent | Jul 2026 | Official leaderboard |
| 9 | GPT-5.6 Terra | 86.3% | xhigh, Codex | Jul 2026 | Official leaderboard |
| 10 | | 86.3% | Nov 2026 | Lab model card | |
| 11 | | 84.3% | xhigh, mini-SWE-agent | Oct 2026 | Official leaderboard |
| 12 | GLM-5.3 | 84.3% | max, mini-SWE-agent | Aug 2026 | Official leaderboard |
| 13 | GPT-5.6 Sol | 82.4% | xhigh, Codex | Jul 2026 | Official leaderboard |
| 14 | | 82.3% | xhigh, mini-SWE-agent | Oct 2026 | Official leaderboard |
| 15 | Beam 1.0 | 77.2% | Oct 2026 | Lab model card | |
| 16 | Claude Sonnet 5.5 | 70.6% | xhigh, mini-SWE-agent | Sep 2026 | Official leaderboard |
| 17 | | 58.8% | high, mini-SWE-agent | Sep 2026 | Official leaderboard |
| 18 | | 56.9% | xhigh, mini-SWE-agent | Jul 2026 | Official leaderboard |
| 19 | Claude Haiku 5.5 | 52.9% | high, mini-SWE-agent | Oct 2026 | Official leaderboard |
| 20 | Claude Haiku 4.5 | 25.5% | xhigh, Claude Code | Oct 2025 | Official leaderboard |
Labs report scores for 3 models in their cards. Switch the scores above to rank them together.
Number one over time Number one over time
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.
Sources: Official SWE-Bench Pro V2 Hard leaderboard and labs’ model cards
Claude Sonnet 5 on the official leaderboard passed 85% in June 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official SWE-Bench Pro V2 Hard leaderboard and labs’ model cards
3 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 |
|---|---|---|---|
| Nov 5, 2026 | 86.3 | SWEBench Pro v2 (Hard) | |
| Nov 4, 2026 | SWE-2 Flash | 89.9 | SWE-Bench Pro v2 Hard |
| Oct 5, 2026 | Beam 1.0 | 77.2 | SWE Bench Pro v2-Hard |
One lab claim next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 86.3% SWEBench Pro v2 (Hard) | 86.3% Leaderboard | Same |
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