BlogLLM Benchmark Scores as Published, Side by Side
CyberGym: Results as Published
Every result the catalog holds for CyberGym: 35 models from 12 developers, read from 15 pages. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.
Area CybersecurityMaintainer UC Berkeley Center for Responsible, Decentralized IntelligenceIntroduced 2025Data version 2026103001, as of 2026-10-30
CyberGym tests whether AI agents can reproduce real vulnerabilities in open-source software. The agent gets a vulnerable codebase and a written description, and must write a test input that makes the bug crash the code before the fix but not after it. The benchmark has 1,507 vulnerabilities across 188 open-source projects, and each attempt is checked automatically with sanitizers.
CyberGym
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| GPT-5.6 SolOpenAI, released 2026-07-09 | 84.5% | DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 3 more pages | - |
| GPT-5.5OpenAI, released 2026-04-23 | 81.8% | OpenAI, Introducing GPT-5.5checked 2026-10-15 | Effort: xhigh |
| GPT-5.4OpenAI, released 2026-03-05 | 79% | OpenAI, Introducing GPT-5.5checked 2026-10-15; printed on 2 more pages | Effort: xhigh |
| Claude Fable 5Anthropic, released 2026-06-09 | 83.1% | DeepSeek, DeepSeek-V4-Pro-0813 model cardchecked 2026-10-15; printed on 1 more page | - |
| Claude Opus 4.8Anthropic, released 2026-05-28 | 83.1% | DeepSeek, DeepSeek-V4-Flash-0731 model cardchecked 2026-10-15; printed on 2 more pages | - |
| Claude Opus 4.7Anthropic, released 2026-04-16 | 73.1% | Anthropic, Claude Opus 4.7checked 2026-10-15; printed on 1 more page | - |
| Claude Mythos PreviewAnthropic, released 2026-04-07 | 83.1% | Anthropic, Claude Opus 4.7checked 2026-10-15 | - |
| Claude Opus 4.6Anthropic, released 2026-02-05 | 73.8% | Anthropic, Claude Opus 4.7checked 2026-10-15; printed on 1 more page | - |
| Claude Opus 4.5Anthropic, released 2025-11-24 | 50.6% | Moonshot AI, Kimi K2.5 model cardchecked 2026-10-15; printed on 1 more page | - |
| Gemini 3.1 Pro PreviewGoogle, released 2026-02-19 | 38.8% | Z.ai, GLM-5.1 model cardchecked 2026-10-15 | - |
| Gemini 3 ProGoogle, released 2025-11-18 | 39.9% | Moonshot AI, Kimi K2.5 model cardchecked 2026-10-15; printed on 1 more page | Effort: high |
| Grok 4.7xAI, released 2026-09-21 | 80.3% | xAI, Grok 4.7 model cardchecked 2026-10-14 | Effort: high |
| Grok 4.6xAI, released 2026-08-12 | 79.7% | xAI, Grok 4.7 model cardchecked 2026-10-14 | Effort: high |
| Grok 4.5xAI, released 2026-07-16 | 79% | xAI, Grok 4.7 model cardchecked 2026-10-14 | Effort: high |
| Muse Wonder FullMeta, released 2026-10-12 | 88.4% | Meta, Meta Muse Wonder model cardchecked 2026-10-19 | - |
| DeepSeek-V4.1-FlashDeepSeek, released 2026-09-10 | 88.1% | DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15 | Effort: max |
| DeepSeek-V4-Flash (Preview)DeepSeek, released 2026-04-24 | 38.7% | DeepSeek, DeepSeek-V4-Flash-0731 model cardchecked 2026-10-15; printed on 1 more page | - |
| DeepSeek-V4-Pro (Preview)DeepSeek, released 2026-04-24 | 52.7% | DeepSeek, DeepSeek-V4-Flash-0731 model cardchecked 2026-10-15; printed on 1 more page | - |
| DeepSeek-V3.2DeepSeek, released 2025-12-01 | 17.3% | Moonshot AI, Kimi K2.5 model cardchecked 2026-10-15; printed on 2 more pages | - |
| DeepSeek-V4-Flash-0731DeepSeek | 76.7% | DeepSeek, DeepSeek-V4-Flash-0731 model cardchecked 2026-10-15; printed on 2 more pages | - |
| DeepSeek-V4-Pro-0813DeepSeek | 83.3% | DeepSeek, DeepSeek-V4-Pro-0813 model cardchecked 2026-10-15; printed on 2 more pages | - |
| Qwen3.8-MaxAlibaba, released 2026-08-03 | 78.5% | Z.ai, GLM-5.3 model cardchecked 2026-10-15 | - |
| Kimi K3Moonshot AI, released 2026-07-16 | 80% | DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 3 more pages | - |
| Kimi K2.5Moonshot AI, released 2026-01-27 | 41.3% | Moonshot AI, Kimi K2.5 model cardchecked 2026-10-15; printed on 2 more pages | - |
| GLM-5.3Z.ai, released 2026-08-18 | 84.5% | Z.ai, GLM-5.3 model cardchecked 2026-10-15; printed on 2 more pages | Effort: max; Harness: Claude Code 2.1.207 |
| GLM-5.2Z.ai, released 2026-06-16 | 77.2% | Z.ai, GLM-5.3 model cardchecked 2026-10-15 | - |
| GLM-5.1Z.ai, released 2026-04-07 | 68.7% | Z.ai, GLM-5.1 model cardchecked 2026-10-15 | - |
| GLM-5Z.ai, released 2026-02-12 | 43.2% | Z.ai, GLM-5 model cardchecked 2026-10-15; printed on 1 more page | Harness: Claude Code 2.1.18 |
| GLM-4.7Z.ai, released 2025-12-22 | 23.5% | Z.ai, GLM-5 model cardchecked 2026-10-15 | Harness: Claude Code 2.1.18 |
| MiniMax-M3.1-FlashMiniMax, released 2026-10-19 | 82.2% | MiniMax, MiniMax-M3.1-Flash model cardchecked 2026-10-25; printed on 1 more page | Harness: Claude Code 2.1.263 |
| MiMo-V2.6-FlashXiaomi, released 2026-09-21 | 95.1% | Xiaomi, Xiaomi MiMo-V2.6-Pro-RL model cardchecked 2026-10-19 | - |
| MiMo-V2.6-ProXiaomi, released 2026-09-21 | 94% | Xiaomi, Xiaomi MiMo-V2.6-Pro-RL model cardchecked 2026-10-19 | - |
| MiMo-V2.5-ProXiaomi, released 2026-04-27 | 40% | Xiaomi, Xiaomi MiMo-V2.6-Pro-RL model cardchecked 2026-10-19 | - |
CyberGym-E2E
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| Grok 4.7xAI, released 2026-09-21 | 74% | Mistral AI, Mistral Large 4 (preview)checked 2026-10-15 | - |
| DeepSeek-V4.1-FlashDeepSeek, released 2026-09-10 | 23% | Mistral AI, Mistral Large 4 (preview)checked 2026-10-15 | - |
| Kimi K3Moonshot AI, released 2026-07-16 | 58% | Mistral AI, Mistral Large 4 (preview)checked 2026-10-15 | - |
| GLM-5.3-FlashZ.ai, released 2026-08-26 | 74% | Mistral AI, Mistral Large 4 (preview)checked 2026-10-15 | - |
| GLM-5.3Z.ai, released 2026-08-18 | 29% | Mistral AI, Mistral Large 4 (preview)checked 2026-10-15 | - |
| Mistral Large 4 (preview)Mistral AI, released 2026-10-06 | 82% | Mistral AI, Mistral Large 4 (preview)checked 2026-10-15 | - |
| MiMo-V2.6-ProXiaomi, released 2026-09-21 | 79% | Mistral AI, Mistral Large 4 (preview)checked 2026-10-15 | - |
Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.