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SWE-Bench Pro

Harder, long-horizon software engineering tasks from public and proprietary codebases, with a held-out set.

Reference by Scale AI

IndexedMIT★ 552
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About

Whether an agent can complete multi-file, long-horizon code changes across many repositories, judged by the project tests.

Use cases: llm-evaluation, code-generation

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About the benchmark

Maintainer
Scale AIarxiv.org
Launched
2025-09arxiv.org

We link to the official leaderboard instead of copying scores. Benchmarks get gamed and saturate; we never use them to rank listings.

Signals

Stars
552
Forks
102
Open issues
37
Last commit
Sep 22, 2026 (1 month ago)
Last release
Sep 22, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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SWE-Bench Pro benchmark. Agent Mart. https://agentmart.dev/reference/swe-bench-pro (last updated 2026-10-24)