Benchmark Almanac

CRSBench

Claude Opus 4.6 82.3% leads since Feb 2026 Only in system cards

Cyber reasoning systems find and patch bugs in 124 C, C++ and Java projects with 315 vulnerabilities. A patch passes only if no ground-truth proof of vulnerability still triggers and functionality tests pass.

The GitHub repo was created on 2025-10-31, and the public release month is not stated. The dataset is gated behind a data use agreement.

Made by Georgia Tech SSLab (OpenSSF OSS-CRS) Finding and exploiting real bugs All tasks public Last in a system card Jul 2026 Last model added Jul 2026 Scores refreshed 2 Nov 2026
Level
Expert Specialists with years of training, often over hours of work
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
5
Models scored on its own leaderboard
1
System card reports it, from 1 lab

Claude Opus 4.6 leads with 82.3% among models released by Apr 2026

Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best.

The newest model with a score here came out in Apr 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 Claude Opus 4.6 82.3%
  2. 2 GLM-5.1 68.6%
  3. 3 Gemini 3 Flash 56.9%
  4. 4 GPT-5.4 Mini 54.9%
  5. 5 Claude Haiku 4.5 31.4%
#ModelScoreSettingDateSource
1 Claude Opus 4.6 82.3% Claude Code Feb 2026 Official leaderboard
2 GLM-5.1 68.6% Opencode Apr 2026 Official leaderboard
3 Gemini 3 Flash 56.9% Gemini CLI Dec 2025 Official leaderboard
4 GPT-5.4 Mini 54.9% Codex Mar 2026 Official leaderboard
5 Claude Haiku 4.5 31.4% Claude Code Oct 2025 Official leaderboard

Labs report scores for 1 model in their cards. We plot every source in the charts below.

3 models have held number one since 2023

Lab claims count from the day the card came out, independent runs from the model’s release.

Anthropic Google DeepMind
Own leaderboard Not tested since Apr 2026

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 4.6 Gemini 3 Flash Claude Haiku 4.5 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 4.6 Gemini 3 Flash

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.

DateDocumentScoreAs the document writes itSection
27 Jul 2026 MAI-Cyber-1-Flash model card 65.1 CRSBench, printed 0.651 (POV=1200), metric not defined in the card (External Cyber Benchmark Results) Cyber risk

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