CUA-bench
Computer-use agents play six commercial video games, such as Minecraft, SUPERHOT and eFootball, using only a keyboard and mouse. Half of the games are held out.
Vals reports estimated API cost and time per action. The board had nine models on October 13th, 2026.
- Made by
- Vals AI
- Released
- September 2026
- Kind
- Video games
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
GPT-6 Astra leads with 19.2%
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
- 1 GPT-6 Astra 19.2%
- 2 Claude Opus 5.5 14%
- 3 Claude Fable 5.1 13.2%
- 4 Claude Opus 5 9.00%
- 5 GPT-5.6 Sol 8.33%
- 6
Muse Wonder 7.17%
- 7
Muse Spark 1.3 max 5.83%
- 8
Gemini 4 Argon 4.83%
- 9
Gemini 3.8 Flash 4.17%
Source: Official CUA-bench leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 19.2% | Sep 2026 | Official leaderboard | |
| 2 | Claude Opus 5.5 | 14% | Sep 2026 | Official leaderboard | |
| 3 | Claude Fable 5.1 | 13.2% | Sep 2026 | Official leaderboard | |
| 4 | Claude Opus 5 | 9.00% | Jul 2026 | Official leaderboard | |
| 5 | GPT-5.6 Sol | 8.33% | Jul 2026 | Official leaderboard | |
| 6 | | 7.17% | Oct 2026 | Official leaderboard | |
| 7 | | 5.83% | max | Sep 2026 | Official leaderboard |
| 8 | | 4.83% | Sep 2026 | Official leaderboard | |
| 9 | | 4.17% | Sep 2026 | Official leaderboard |
The best score, 19.2%, costs $1,821 for the full run
Runs on the cost frontier score higher than any run that's cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official CUA-bench leaderboard
| Model | Effort | Harness | Score | Cost of the full run | Output tokens |
|---|---|---|---|---|---|
| GPT-6 Astra | 19.2% | $1,821 | |||
| Claude Opus 5.5 | 14% | $188 | |||
| Claude Fable 5.1 | 13.2% | $324 | |||
| Claude Opus 5 | 9.00% | $232 | |||
| GPT-5.6 Sol | 8.33% | $207 | |||
| | 7.17% | $597 | |||
| | max | 5.83% | $144 | ||
| | 4.83% | $194 | |||
| | 4.17% | $280 |
2 models have held number one on the official leaderboard since its release in September 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official CUA-bench leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official CUA-bench leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
More in Games and long tasks
- ARC-AGI-3 In use Interactive game environments where agents must explore, infer goals and rules, and act efficiently without instructions. GPT-6 Astra 99.95%
- Orak Fading LLM agents play 12 popular video games across most genres through an MCP interface. Each game scores in-game progress or outcomes, and the board ranks models by their average rank across the games.
Gemini 2.5 Pro 3.90
- MineDojo Fading Agents complete open-ended tasks in Minecraft, such as mining blocks and fighting mobs, from a large simulation suite. Programmatic checks score many tasks.
Seed2.0 Pro 49%
- TextQuests Only in system cards Agents play 25 classic interactive fiction games. The score is harmful actions per 100 steps, where lower is better. The board also reports game progress.
Llama 4 Scout 7.00
- GameWorld Only in system cards Multimodal game agents play 34 browser games across 170 tasks. Outcomes are checked from the game state. GPT-6.1 Terra 76.8%
- Swarm Bench Only in system cards Models orchestrate agent swarms on complex tasks that benefit from coordinated decomposition and parallel execution. Kimi K3 76.3%