CursorBench
Agents do ambiguous multi-file coding tasks from real Cursor sessions in Cursor's harness. Version 3.0 covers edit, refactor and bugfix problems. Agentic graders score correctness, with cost reported.
Cursor's changelog dates 3.0 to 2026-03-11 with edit, refactor and bugfix tasks. Versions 3.1 (2026-05-19) and 3.2 (2026-07-08) changed the task mix, so they have their own records. Cursor's Composer 2 post and report (2026-03) use 3.0.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Code A program or patch run against tests.
Claude Opus 5.5 leads with 57.8%
Best score per model in Epoch AI’s data. Where a model ran with several settings or harnesses, we keep its best.
- 57.8 Claude Opus 5.5
- 55.5 Claude Sonnet 5.5
- 52.9
Gemini 4 Argon
- 51.8 Claude Fable 5.1
- 50.4
Muse Wonder
- 48.4 Claude Haiku 5.5
- 47.7
DeepSeek V4.1 Flash 1017
- 46.6 Claude Opus 5
- 46.3 Grok 4.7
- 42.6 GLM-5.3
- 41.7 GPT-5.6 Sol
- 41.6
Muse Spark 1.3
- 41.4 Grok 4.6
- 41.3 GPT-5.6 Terra
- 39.6
Gemini 3.8 Flash
- 36.8 GLM-5.3-Flash
- 35.9 GPT-5.6 Luna
- 34.1 Claude Sonnet 5
- 27.7 Composer 2.5
- 1 Claude Opus 5.5 max 57.8%
- 2 Claude Sonnet 5.5 max 55.5%
- 3
Gemini 4 Argon high 52.9%
- 4 Claude Fable 5.1 max 51.8%
- 5
Muse Wonder max 50.4%
- 6 Claude Haiku 5.5 max 48.4%
- 7
DeepSeek V4.1 Flash 1017 max 47.7%
- 8 Claude Opus 5 max 46.6%
- 9 Grok 4.7 xhigh 46.3%
- 10 GLM-5.3 max 42.6%
- 11 GPT-5.6 Sol max 41.7%
- 12
Muse Spark 1.3 max 41.6%
- 13 Grok 4.6 xhigh 41.4%
- 14 GPT-5.6 Terra max 41.3%
- 15
Gemini 3.8 Flash high 39.6%
- 16 GLM-5.3-Flash max 36.8%
- 17 GPT-5.6 Luna max 35.9%
- 18 Claude Sonnet 5 max 34.1%
- 19 Composer 2.5 27.7%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 | 57.8% | max | Sep 2026 | Epoch AI |
| 2 | Claude Sonnet 5.5 | 55.5% | max | Sep 2026 | Epoch AI |
| 3 | | 52.9% | high | Sep 2026 | Epoch AI |
| 4 | Claude Fable 5.1 | 51.8% | max | Sep 2026 | Epoch AI |
| 5 | | 50.4% | max | Oct 2026 | Epoch AI |
| 6 | Claude Haiku 5.5 | 48.4% | max | Oct 2026 | Epoch AI |
| 7 | | 47.7% | max | Oct 2026 | Epoch AI |
| 8 | Claude Opus 5 | 46.6% | max | Jul 2026 | Epoch AI |
| 9 | Grok 4.7 | 46.3% | xhigh | Sep 2026 | Epoch AI |
| 10 | GLM-5.3 | 42.6% | max | Aug 2026 | Epoch AI |
| 11 | GPT-5.6 Sol | 41.7% | max | Jul 2026 | Epoch AI |
| 12 | | 41.6% | max | Sep 2026 | Epoch AI |
| 13 | Grok 4.6 | 41.4% | xhigh | Aug 2026 | Epoch AI |
| 14 | GPT-5.6 Terra | 41.3% | max | Jul 2026 | Epoch AI |
| 15 | | 39.6% | high | Sep 2026 | Epoch AI |
| 16 | GLM-5.3-Flash | 36.8% | max | Aug 2026 | Epoch AI |
| 17 | GPT-5.6 Luna | 35.9% | max | Jul 2026 | Epoch AI |
| 18 | Claude Sonnet 5 | 34.1% | max | Jun 2026 | Epoch AI |
| 19 | Composer 2.5 | 27.7% | May 2026 | Epoch AI |
Labs report scores for 1 model in their cards. We plot every source in the charts below.
6 models have held number one since its release in Mar 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.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
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 |
|---|---|---|---|---|
| 25 Mar 2026 | Composer 2 technical report | 61.3 | CursorBench (CursorBench-3), Cursor harness (Table 1 and 7.1) | 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