Benchmark Almanac

CUA-bench

GPT-6 Astra 19.2% leads since Sep 2026 Not in model cards

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. Nine models on the board as of 2026-10-13, led by GPT-6 Astra at 19.17%.

Made by Vals AI Released Sep 2026 Video games Tasks kept private Last model added Oct 2026 Scores refreshed 2 Nov 2026
Level
Everyday Most adults, without training
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.
Leaderboard vals.ai
9
Models scored on its own leaderboard

GPT-6 Astra leads with 19.2%

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.

  1. 19.2 GPT-6 Astra
  2. 14.0 Claude Opus 5.5
  3. 13.2 Claude Fable 5.1
  4. 9.00 Claude Opus 5
  5. 8.33 GPT-5.6 Sol
  6. 7.17 Muse Wonder
  7. 5.83 Muse Spark 1.3
  8. 4.83 Gemini 4 Argon
  9. 4.17 Gemini 3.8 Flash
  1. 1 GPT-6 Astra 19.2%
  2. 2 Claude Opus 5.5 14%
  3. 3 Claude Fable 5.1 13.2%
  4. 4 Claude Opus 5 9.00%
  5. 5 GPT-5.6 Sol 8.33%
  6. 6 Muse Wonder 7.17%
  7. 7 Muse Spark 1.3 max 5.83%
  8. 8 Gemini 4 Argon 4.83%
  9. 9 Gemini 3.8 Flash 4.17%
#ModelScoreSettingDateSource
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 Muse Wonder 7.17% Oct 2026 Official leaderboard
7 Muse Spark 1.3 5.83% max Sep 2026 Official leaderboard
8 Gemini 4 Argon 4.83% Sep 2026 Official leaderboard
9 Gemini 3.8 Flash 4.17% Sep 2026 Official leaderboard

2 models have held number one since its release in Sep 2026

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

Anthropic OpenAI
Own leaderboard 2 leaders
GPT-6 Astra 19.2%

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 Best so far
0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-6 Astra Claude Fable 5.1 Claude Opus 5 0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-6 Astra Claude Opus 5

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.

More in Games and long tasks

All 68 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 100%
  • 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%
  • Orak Fading LLM agents play 12 popular video games across most genres through an MCP interface. Scores come from in-game progress or outcomes per title. Nemotron 3 Nano 4B 22.9
  • GameWorld Only in system cards Multimodal game agents play 34 browser games across 170 tasks. Outcomes are checked from the game state. Gemini 3 Flash 41.9%
  • 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%
  • TextQuests Only in system cards Agents play 25 classic interactive fiction games. Measures game progress and harmful actions per 100 steps. Muse Spark 2.40