Cursor's first-party harder-task benchmark for long-horizon agentic coding behavior inside the Cursor agent loop.
BenchLM mirrors the published score view for CursorBench v3.1. Claude Opus 4.7 (Adaptive) leads the public snapshot at 64.8% , followed by Composer 2.5 (63.2%) and GPT-5.5 (59.2%). BenchLM does not use these results to rank models overall.
Claude Opus 4.7 (Adaptive)
Anthropic
Composer 2.5
Cursor
GPT-5.5
OpenAI
The published CursorBench v3.1 snapshot is tightly clustered at the top: Claude Opus 4.7 (Adaptive) sits at 64.8%, while the third row is only 5.6 points behind. The broader top-10 spread is 32.9 points, so the benchmark still separates strong models even when the leaders cluster.
7 models have been evaluated on CursorBench v3.1. The benchmark falls in the Coding category. This category carries a 20% weight in BenchLM.ai's overall scoring system. CursorBench v3.1 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Harder long-horizon agentic coding tasks
Format
Cursor agent-loop evaluation
Difficulty
Professional agentic software engineering
Cursor reports CursorBench v3.1 on its public evals page for ambiguous, multi-file tasks from real Cursor sessions. BenchLM tracks it as display-only because it is a first-party benchmark.
Version
CursorBench v3.1 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Cursor's first-party harder-task benchmark for long-horizon agentic coding behavior inside the Cursor agent loop.
Claude Opus 4.7 (Adaptive) by Anthropic currently leads with a score of 64.8% on CursorBench v3.1.
7 AI models have been evaluated on CursorBench v3.1 on BenchLM.
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