1. Cleus
  2. AI benchmarks
  3. CursorBench

CursorBenchexplained

Real multi-file coding jobs inside the Cursor editor. CursorBench is Cursor’s own test for AI coding agents, built from the kind of vague, multi-file tasks people hand to the agent in the Cursor code editor. The agent works inside Cursor’s own setup, and its results are graded on whether the change is correct, the quality of the code and how efficiently it got there.

Coding · Cursor (Anysphere), 2026

Highest published score
Claude Opus 5.5, 57.8%
Leader among popular models
Claude Opus 5.5
Models with a result
19
Skill it tests
Coding
01

What CursorBench really tests

What it is
CursorBench is Cursor’s own test for AI coding agents, built from the kind of vague, multi-file tasks people hand to the agent in the Cursor code editor. The agent works inside Cursor’s own setup, and its results are graded on whether the change is correct, the quality of the code and how efficiently it got there.
A question like
“The settings page sometimes saves the old value — find out why and fix it.” The agent has to explore the codebase, find the bug across several files and make a fix that passes review. Our own example in the style of the test, not a real item.
Why it matters
It is close to how developers actually use AI day to day: messy instructions, real codebases, no hand-holding.
Reading the score
Share of tasks completed to Cursor’s standard.
The catch
Cursor builds, runs and scores it, so it isn’t independent, and scores include Cursor’s own agent tooling, not just the model. Versions change; only compare scores from the same version.
Made by
Cursor (Anysphere), 2026. Official page
02

Leaderboard

Each model’s best published result across its reasoning settings.

Popular models

The models we track across this site.

  1. 1Claude Opus 5.5Anthropic57.8%
  2. 2Claude Sonnet 5.5Anthropic55.5%
  3. 3Gemini 4 ArgonGoogle52.9%
  4. 4Claude Fable 5.1Anthropic51.8%
  5. 5Muse WonderMeta50.4%
  6. 6Claude Haiku 5.5Anthropic48.4%
  7. 7DeepSeek V4.1 FlashDeepSeek47.7%
  8. 8Grok 4.7xAI46.3%
  9. 9GLM-5.3Z.ai42.6%
  10. 10Grok 4.6xAI41.4%
  11. 11Gemini 3.8 FlashGoogle39.6%

Top 19 of all 19 models tested

Includes older, preview and specialist models that aren’t on our main leaderboard.

  1. 1Claude Opus 5.5Anthropic · max57.8%
  2. 2Claude Sonnet 5.5Anthropic · max55.5%
  3. 3Gemini 4 ArgonGoogle DeepMind · high52.9%
  4. 4Claude Fable 5.1Anthropic · max51.8%
  5. 5Muse WonderMeta AI · max50.4%
  6. 6Claude Haiku 5.5Anthropic · max48.4%
  7. 7DeepSeek V4.1 Flash 1017DeepSeek · max47.7%
  8. 8Claude Opus 5Anthropic · max46.6%
  9. 9Grok 4.7xAI · xhigh46.3%
  10. 10GLM-5.3Z.ai (Zhipu AI) · max42.6%
  11. 11GPT-5.6 SolOpenAI · max41.7%
  12. 12Muse Spark 1.3Meta AI · max41.6%
  13. 13Grok 4.6xAI · xhigh41.4%
  14. 14GPT-5.6 TerraOpenAI · max41.3%
  15. 15Gemini 3.8 FlashGoogle DeepMind · high39.6%
  16. 16GLM-5.3-FlashZ.ai (Zhipu AI) · max36.8%
  17. 17GPT-5.6 LunaOpenAI · max35.9%
  18. 18Claude Sonnet 5Anthropic · max34.1%
  19. 19Composer 2.5Cursor27.7%
04

Questions

What is CursorBench?

CursorBench is Cursor’s own test for AI coding agents, built from the kind of vague, multi-file tasks people hand to the agent in the Cursor code editor. The agent works inside Cursor’s own setup, and its results are graded on whether the change is correct, the quality of the code and how efficiently it got there.

What does a CursorBench score mean?

Share of tasks completed to Cursor’s standard.

Which AI model is best on CursorBench?

Claude Opus 5.5 from Anthropic has the highest published CursorBench result we have (57.8%).

Is CursorBench a good benchmark?

It is close to how developers actually use AI day to day: messy instructions, real codebases, no hand-holding. The catch: Cursor builds, runs and scores it, so it isn’t independent, and scores include Cursor’s own agent tooling, not just the model. Versions change; only compare scores from the same version.

Who made CursorBench?

Cursor (Anysphere), 2026.

Benchmark scores: Epoch AI, Capabilities & benchmarking, used under CC BY 4.0. For each model we show its best published result across reasoning settings. Prices and context sizes: OpenRouter. Data refreshed November 9, 2026. Hands-on tests (answers, websites, code, refusals, speed) are our own single runs. Explanations written by Cleus.