CyberBench v1.1 (Vals)
Agents work on OSS-Fuzz memory-safety bugs from ARVO images in two tracks. They write a proof-of-concept input that crashes the target, or patch the source so the crash stops and tests still pass.
Vals reran the benchmark with offline task sandboxes, a hardened clean-room grader and a new Patch roster, and archived v1. Release month is inferred: v1 last updated 2026-09-16, v1.1 shows 2026-10-20.
- 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.
Muse Wonder leads with 80.4%
Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 80.4
Muse Wonder
- 78.0 GPT-6 Sol
- 77.9
Gemini 4 Argon
- 76.3 GPT-5.6 Sol
- 76.3 GPT-6 Luna
- 75.5 Claude Haiku 5.5
- 75.4 MiMo-V2.6 Flash
- 75.2 Kimi K3
- 74.6 Claude Opus 5.5 (CVP)
- 73.7
DeepSeek V4.1 Flash
- 73.6 GPT-5.6 Luna
- 73.6
Muse Wonder Full
- 73.0 Daybreak Blue
- 72.9
DeepSeek V4 Pro 0813
- 72.9 MiMo-V2.6 Pro
- 72.7
Muse Spark 1.3
- 72.1 GPT-5.6 Terra
- 72.1
DeepSeek V4 Flash 0731
- 72.1 GLM-5.3
- 71.0 Grok 4.5
- 70.4 Claude Fable 5.1
- 70.3 Claude Sonnet 5 (Cyber Range)
- 69.5
Muse Spark 1.2
- 69.5
Ember-1
- 69.5 Grok 4.7
- 67.9 GLM-5.3-Flash
- 67.8
Qwen 3.8 27B
- 67.7 Grok 4.6
- 66.8
Inkling
- 65.4 Claude Opus 5
- 65.4
Tencent Hy4 preview
- 65.0
MiniMax-M3
- 64.1
Inkling-Small
- 61.9 Claude Sonnet 5
- 59.6 Claude Sonnet 5.5
- 59.1
Gemini 3.5 Flash-Lite
- 58.3
Ling-3.0-flash-Fin
- 55.4 Claude Opus 5.5
- 45.5 Mercury 2.5
- 45.4
Gemini 3.6 Flash
- 43.8
Gemini 3.7 Flash
- 43.8
Gemini 3.8 Flash
- 41.1 GPT-6 Astra
- 39.3 GPT-6.1 Sol
- 29.5
Nemotron 3.5 Lightning 30B-A3B
- 28.6
Qwen 3.8 Max
- 1
Muse Wonder 80.4%
- 2 GPT-6 Sol 78%
- 3
Gemini 4 Argon 77.9%
- 4 GPT-5.6 Sol 76.3%
- 5 GPT-6 Luna 76.3%
- 6 Claude Haiku 5.5 75.5%
- 7 MiMo-V2.6 Flash 75.4%
- 8 Kimi K3 75.2%
- 9 Claude Opus 5.5 (CVP) 74.6%
- 10
DeepSeek V4.1 Flash 73.7%
- 11 GPT-5.6 Luna 73.6%
- 12
Muse Wonder Full 73.6%
- 13 Daybreak Blue 73%
- 14
DeepSeek V4 Pro 0813 72.9%
- 15 MiMo-V2.6 Pro 72.9%
- 16
Muse Spark 1.3 max 72.7%
- 17 GPT-5.6 Terra 72.1%
- 18
DeepSeek V4 Flash 0731 72.1%
- 19 GLM-5.3 72.1%
- 20 Grok 4.5 71%
- 21 Claude Fable 5.1 70.4%
- 22 Claude Sonnet 5 (Cyber Range) 70.3%
- 23
Muse Spark 1.2 69.5%
- 24
Ember-1 69.5%
- 25 Grok 4.7 69.5%
- 26 GLM-5.3-Flash 67.9%
- 27
Qwen 3.8 27B 67.8%
- 28 Grok 4.6 67.7%
- 29
Inkling 66.8%
- 30 Claude Opus 5 65.4%
- 31
Tencent Hy4 preview 65.4%
- 32
MiniMax-M3 65%
- 33
Inkling-Small 64.1%
- 34 Claude Sonnet 5 61.9%
- 35 Claude Sonnet 5.5 59.6%
- 36
Gemini 3.5 Flash-Lite 59.1%
- 37
Ling-3.0-flash-Fin 58.3%
- 38 Claude Opus 5.5 55.4%
- 39 Mercury 2.5 45.5%
- 40
Gemini 3.6 Flash 45.4%
- 41
Gemini 3.7 Flash 43.8%
- 42
Gemini 3.8 Flash 43.8%
- 43 GPT-6 Astra 41.1%
- 44 GPT-6.1 Sol 39.3%
- 45
Nemotron 3.5 Lightning 30B-A3B 29.5%
- 46
Qwen 3.8 Max 28.6%
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 80.4% | Oct 2026 | Official leaderboard | |
| 2 | GPT-6 Sol | 78% | Sep 2026 | Official leaderboard | |
| 3 | | 77.9% | Sep 2026 | Official leaderboard | |
| 4 | GPT-5.6 Sol | 76.3% | Jul 2026 | Official leaderboard | |
| 5 | GPT-6 Luna | 76.3% | Sep 2026 | Official leaderboard | |
| 6 | Claude Haiku 5.5 | 75.5% | Oct 2026 | Official leaderboard | |
| 7 | MiMo-V2.6 Flash | 75.4% | Sep 2026 | Official leaderboard | |
| 8 | Kimi K3 | 75.2% | Jul 2026 | Official leaderboard | |
| 9 | Claude Opus 5.5 (CVP) | 74.6% | Official leaderboard | ||
| 10 | | 73.7% | Sep 2026 | Official leaderboard | |
| 11 | GPT-5.6 Luna | 73.6% | Jul 2026 | Official leaderboard | |
| 12 | | 73.6% | Oct 2026 | Official leaderboard | |
| 13 | Daybreak Blue | 73% | Official leaderboard | ||
| 14 | | 72.9% | Aug 2026 | Official leaderboard | |
| 15 | MiMo-V2.6 Pro | 72.9% | Sep 2026 | Official leaderboard | |
| 16 | | 72.7% | max | Sep 2026 | Official leaderboard |
| 17 | GPT-5.6 Terra | 72.1% | Jul 2026 | Official leaderboard | |
| 18 | | 72.1% | Jul 2026 | Official leaderboard | |
| 19 | GLM-5.3 | 72.1% | Aug 2026 | Official leaderboard | |
| 20 | Grok 4.5 | 71% | Jul 2026 | Official leaderboard | |
| 21 | Claude Fable 5.1 | 70.4% | Sep 2026 | Official leaderboard | |
| 22 | Claude Sonnet 5 (Cyber Range) | 70.3% | Official leaderboard | ||
| 23 | | 69.5% | Aug 2026 | Official leaderboard | |
| 24 | | 69.5% | Sep 2026 | Official leaderboard | |
| 25 | Grok 4.7 | 69.5% | Sep 2026 | Official leaderboard | |
| 26 | GLM-5.3-Flash | 67.9% | Aug 2026 | Official leaderboard | |
| 27 | | 67.8% | Aug 2026 | Official leaderboard | |
| 28 | Grok 4.6 | 67.7% | Aug 2026 | Official leaderboard | |
| 29 | | 66.8% | Jul 2026 | Official leaderboard | |
| 30 | Claude Opus 5 | 65.4% | Jul 2026 | Official leaderboard | |
| 31 | | 65.4% | Aug 2026 | Official leaderboard | |
| 32 | | 65% | Jun 2026 | Official leaderboard | |
| 33 | | 64.1% | Jul 2026 | Official leaderboard | |
| 34 | Claude Sonnet 5 | 61.9% | Jun 2026 | Official leaderboard | |
| 35 | Claude Sonnet 5.5 | 59.6% | Sep 2026 | Official leaderboard | |
| 36 | | 59.1% | Jul 2026 | Official leaderboard | |
| 37 | | 58.3% | Sep 2026 | Official leaderboard | |
| 38 | Claude Opus 5.5 | 55.4% | Sep 2026 | Official leaderboard | |
| 39 | Mercury 2.5 | 45.5% | Sep 2026 | Official leaderboard | |
| 40 | | 45.4% | Jul 2026 | Official leaderboard | |
| 41 | | 43.8% | Aug 2026 | Official leaderboard | |
| 42 | | 43.8% | Sep 2026 | Official leaderboard | |
| 43 | GPT-6 Astra | 41.1% | Sep 2026 | Official leaderboard | |
| 44 | GPT-6.1 Sol | 39.3% | Sep 2026 | Official leaderboard | |
| 45 | | 29.5% | Aug 2026 | Official leaderboard | |
| 46 | | 28.6% | Aug 2026 | Official leaderboard |
The best score, 80.4%, costs $3.66 a task
Runs on the cost frontier score higher than any run that's cheaper. MiMo-V2.6 Flash comes within 5 points of the best for $0.05 a task, 73 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | 80.4% | $3.66 | |||
| GPT-6 Sol | 78% | $1.34 | |||
| | 77.9% | $5.11 | |||
| GPT-5.6 Sol | 76.3% | $3.05 | |||
| GPT-6 Luna | 76.3% | $0.13 | |||
| Claude Haiku 5.5 | 75.5% | $1.25 | |||
| MiMo-V2.6 Flash | 75.4% | $0.05 | |||
| Kimi K3 | 75.2% | $2.13 | |||
| | 73.7% | $0.11 | |||
| GPT-5.6 Luna | 73.6% | $0.40 | |||
| | 73.6% | $3.63 | |||
| | 72.9% | $0.59 | |||
| MiMo-V2.6 Pro | 72.9% | $0.09 | |||
| | max | 72.7% | $3.34 | ||
| GPT-5.6 Terra | 72.1% | $3.31 | |||
| | 72.1% | $0.19 | |||
| GLM-5.3 | 72.1% | $2.69 | |||
| Grok 4.5 | 71% | $2.95 | |||
| Claude Fable 5.1 | 70.4% | $4.01 | |||
| | 69.5% | $2.15 | |||
| | 69.5% | $2.43 | |||
| Grok 4.7 | 69.5% | $8.54 | |||
| | 69.4% | $4.26 | |||
| GLM-5.3-Flash | 67.9% | $0.14 | |||
| | 67.8% | $0.99 | |||
| Grok 4.6 | 67.7% | $4.07 | |||
| | 66.8% | $1.46 | |||
| Claude Opus 5 | 65.4% | $3.53 | |||
| | 65.4% | $0.46 | |||
| | 65% | $3.41 | |||
| | 64.1% | $0.25 | |||
| Claude Sonnet 5 | 61.9% | $1.89 | |||
| Claude Sonnet 5.5 | 59.6% | $4.42 | |||
| | 59.1% | $0.43 | |||
| | 58.3% | $0.10 | |||
| Claude Opus 5.5 | 55.4% | $3.48 | |||
| Mercury 2.5 | 45.5% | $0.12 | |||
| | 45.4% | $1.31 | |||
| | 43.8% | $2.15 | |||
| | 43.8% | $1.96 | |||
| GPT-6 Astra | 41.1% | $1.84 | |||
| GPT-6.1 Sol | 39.3% | $0.29 | |||
| | 29.5% | $0.09 | |||
| | 28.6% | $0.78 |
2 models have held number one since its release in Oct 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
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