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CursorBench 4.0 leaderboard

As of November 8, 2026, Claude Opus 5.5 (Anthropic) leads CursorBench 4.0 at 57.8%, ahead of Claude Sonnet 5.5 at 55.5% and Claude Fable 5.1 at 51.8%. 7 systems ranked. Every score here is published by the model's own lab; each row links to the page it comes from.

Top score
57.8%
Claude Opus 5.5
Systems ranked
7
one setting
Independent rows
0/7
all vendor-reported
Cheapest near top
$1.29/1M
Claude Sonnet 5.5 · within 5 pts
With API prices
7/7
rates from our price index
Newest score
Sep 28
2026 · newest result

What is CursorBench 4.0? CursorBench is Cursor's internal coding benchmark, built from short and often ambiguous requests taken from real Cursor sessions; version 4.0 is the current one. Made by Cursor (Anysphere), September 2026.

§ 01 / LEADERBOARD

Top models on CursorBench 4.0, November 2026

7 entries
# Model Score Price / 1M Context Source
1 Claude Opus 5.5 Anthropic
57.8%
adaptive thinking, max effort
$4 / $20 1M Vendor-reported Anthropic
2 Claude Sonnet 5.5 Anthropic
55.5%
best reported effort
$2 / $10 1M Vendor-reported Anthropic
3 Claude Fable 5.1 Anthropic
51.8%
as reported
$10 / $50 1M Vendor-reported Anthropic
4 Claude Opus 5 Anthropic
46.6%
as reported
$5 / $25 1M Vendor-reported Anthropic
5 Grok 4.7 SpaceXSI
46.3%
xhigh effort
$2 / $6 500K Vendor-reported SpaceXSI (xAI)
6 Grok 4.6 SpaceXSI
40.4%
high effort
$2 / $6 500K Vendor-reported SpaceXSI (xAI)
7 Claude Sonnet 5 Anthropic
34.1%
best reported effort
$2 / $10 1M Vendor-reported Anthropic
§ 02 / SCORE VS PRICE

CursorBench 4.0: score against price

20% 40% 60% $1 $3 $10 Effective price per 1M tokens (log scale) Score Grok 4.6: 40.4% at $1.19Claude Sonnet 5: 34.1% at $1.36Claude Opus 5: 46.6% at $3.41Claude Fable 5.1: 51.8% at $6.26 Grok 4.7: 46.3% at $1.19 Grok 4.7 Claude Sonnet 5.5: 55.5% at $1.29 Claude Sonnet 5.5 Claude Opus 5.5: 57.8% at $2.58 Claude Opus 5.5
The dashed line joins the models that no cheaper model beats: Grok 4.7 (46.3%, $1.19 per 1M tokens), Claude Sonnet 5.5 (55.5%, $1.29 per 1M tokens) and Claude Opus 5.5 (57.8%, $2.58 per 1M tokens). Anything below the line costs more for a lower score. Price is the effective rate per 1M tokens on current list prices: 92% input, 8% output, 82% of input served from cache.
§ 03 / PROVENANCE

Can you trust CursorBench 4.0 scores?

No independent leaderboard publishes CursorBench 4.0 results for these models yet, so every number on this page is the lab's own report of its own model. Labs choose the harness, the effort level and the subset they report, and they rarely publish failures. Read the setting under each score before comparing two rows.

§ 04 / HOW IT WORKS

How CursorBench 4.0 works

The task

Each task is a real request (an edit, a refactor, an investigation, following a design) that the agent carries out across several files, mostly in Cursor's own codebases.

The score

Model-based graders score each solution against the code that was actually committed; Cursor publishes a score per model and effort level with cost and tokens per task.

Test set

The authors do not publish a single task count for this version.

Made by

Cursor (Anysphere), first published September 2026.

Official sources

§ 05 / SOURCES

Sources and freshness

7 published scores from 3 sources. Each was read on its source page; the oldest reading on this page is from November 8, 2026. Prices beside each score come from our model price index and move when a vendor reprices.

CursorBench 4.0 FAQ

Answers derived from the 7 published scores on this page and the current price index.

Q · 01

Which AI model has the highest CursorBench 4.0 score?

+
Claude Opus 5.5 with 57.8% (adaptive thinking, max effort), as reported by Anthropic on September 22, 2026. Next: Claude Sonnet 5.5 at 55.5% and Claude Fable 5.1 at 51.8%.
Q · 02

What is the cheapest model near the top of CursorBench 4.0?

+
Claude Sonnet 5.5 scores 55.5%, 2.3 points behind the leader, at $1.29 per 1M tokens on our effective blend ($2 input, $10 output). Claude Opus 5.5 costs $2.58 on the same blend.
Q · 03

Are these CursorBench 4.0 scores independently verified?

+
Not yet. Every score here is the model maker's own report. Each row names the lab and links to the page where it published the number.
Q · 04

What does CursorBench 4.0 measure?

+
CursorBench is Cursor's internal coding benchmark, built from short and often ambiguous requests taken from real Cursor sessions; version 4.0 is the current one. Each task is a real request (an edit, a refactor, an investigation, following a design) that the agent carries out across several files, mostly in Cursor's own codebases.
Q · 05

How is the CursorBench 4.0 score calculated?

+
Model-based graders score each solution against the code that was actually committed; Cursor publishes a score per model and effort level with cost and tokens per task.
Q · 06

How current is this CursorBench 4.0 leaderboard?

+
The newest score was published on September 28, 2026. Every row shows the date its source published it, and we last read all of them on November 8, 2026. Prices come from our model price index, where each rate carries the date it was read on the vendor's page.

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