Benchmark Almanac

SWE-Bench Pro V2 Hard

Claude Opus 5 98% leads since September 2026
Claude Opus 5 98% leads since September 2026
In use

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.

Abstract of SWE-Bench Pro V2: A Cleaner, Harder-to-Game Coding Benchmark (arXiv:2610.24206, CC0)
18
Models scored on its own leaderboard
3
Launch posts list it, from 3 labs

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.

  1. 1 Claude Opus 5 xhigh 98%
  2. 2 Claude Fable 5.1 high 92.2%
  3. 3 Gemini 4 Argon high 92.2%
  4. 4 GPT-6 Astra high 90.2%
  5. 5 Muse Wonder xhigh 90.2%
  6. 6 Claude Sonnet 5 xhigh 88.2%
  7. 7 Kimi K3 max 88.2%
  8. 8 GPT-5.6 Terra xhigh 86.3%
  9. 9 Inkling 2 Small 86.3%
  10. 10 MiniMax-M3.1-Flash xhigh 84.3%
  11. 11 GLM-5.3 max 84.3%
  12. 12 GPT-5.6 Sol xhigh 82.4%
  13. 13 Muse Spark Open xhigh 82.3%
  14. 14 Claude Sonnet 5.5 xhigh 70.6%
  15. 15 Gemini 3.8 Flash high 58.8%
  16. 16 Inkling xhigh 56.9%
  17. 17 Claude Haiku 5.5 high 52.9%
  18. 18 Claude Haiku 4.5 xhigh 25.5%

Source: Official SWE-Bench Pro V2 Hard leaderboard

#ModelScoreSettingDateSource
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 Gemini 4 Argon 92.2% high, mini-SWE-agent Sep 2026 Official leaderboard
4 GPT-6 Astra 90.2% high, Codex Sep 2026 Official leaderboard
5 Muse Wonder 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 Inkling 2 Small 86.3% Nov 2026 Official leaderboard
10 MiniMax-M3.1-Flash 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 Muse Spark Open 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 Gemini 3.8 Flash 58.8% high, mini-SWE-agent Sep 2026 Official leaderboard
16 Inkling 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
#ModelScoreSettingDateSource
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 Gemini 4 Argon 92.2% high, mini-SWE-agent Sep 2026 Official leaderboard
4 GPT-6 Astra 90.2% high, Codex Sep 2026 Official leaderboard
5 Muse Wonder 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 Inkling 2 Small 86.3% Nov 2026 Lab model card
11 MiniMax-M3.1-Flash 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 Muse Spark Open 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 Gemini 3.8 Flash 58.8% high, mini-SWE-agent Sep 2026 Official leaderboard
18 Inkling 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.

Anthropic Reflection Cognition
Own leaderboard Passed 85% in Sep 2026, by Claude Opus 5
Lab claims Passed 85% in Nov 2026, by SWE-2 Flash
SWE-2 Flash 89.9%

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.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) Claude Opus 5 Claude Sonnet 5 Claude Haiku 4.5 0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) Claude Opus 5 Claude Sonnet 5

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.

Reflection
Cognition
Thinking Machines
DateLaunch postScoreAs the post writes it
Nov 5, 2026 Inkling 2 Small 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
Inkling 2 Small 86.3% SWEBench Pro v2 (Hard) 86.3% Leaderboard Same

More in Coding

All 282 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 Fable 5.2 96.6%
  • 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