BalatroBench
Models play the deck-building roguelike Balatro through an API bot. The leaderboard compares how far each model and strategy gets in a run.
Built on Coder's BalatroBot API and BalatroLLM runner. Run data is on Kaggle.
- 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.
Gemini 3 Pro leads with 19.3 among models released by Jan 2026
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.
The newest model with a score here came out in Jan 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 19.3
Gemini 3 Pro
- 18.4 GPT-5.2
- 16.7
Gemini 3 Flash
- 13.9 Claude Opus 4.5
- 11.9 Claude Sonnet 4.5
- 9.47 Grok 4
- 8.67
DeepSeek-V3.2
- 7.67 Grok 4.1 Fast
- 7.27
Qwen3-Max
- 6.27 gpt-oss-120b
- 5.80 gpt-oss-20b
- 5.47 Kimi K2 Thinking
- 5.33 Kimi K2.5
- 5.07 Claude Haiku 4.5
- 3.07 GLM-4.7
- 3.07
MiniMax-M2.1
- 1.47 mistral-large-2512
- 1
Gemini 3 Pro 19.3
- 2 GPT-5.2 18.4
- 3
Gemini 3 Flash 16.7
- 4 Claude Opus 4.5 13.9
- 5 Claude Sonnet 4.5 11.9
- 6 Grok 4 9.47
- 7
DeepSeek-V3.2 8.67
- 8 Grok 4.1 Fast 7.67
- 9
Qwen3-Max 7.27
- 10 gpt-oss-120b 6.27
- 11 gpt-oss-20b 5.80
- 12 Kimi K2 Thinking 5.47
- 13 Kimi K2.5 5.33
- 14 Claude Haiku 4.5 5.07
- 15 GLM-4.7 3.07
- 16
MiniMax-M2.1 3.07
- 17 mistral-large-2512 1.47
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 19.3 | Nov 2025 | Official leaderboard | |
| 2 | GPT-5.2 | 18.4 | Dec 2025 | Official leaderboard | |
| 3 | | 16.7 | Dec 2025 | Official leaderboard | |
| 4 | Claude Opus 4.5 | 13.9 | Nov 2025 | Official leaderboard | |
| 5 | Claude Sonnet 4.5 | 11.9 | Sep 2025 | Official leaderboard | |
| 6 | Grok 4 | 9.47 | Jul 2025 | Official leaderboard | |
| 7 | | 8.67 | Dec 2025 | Official leaderboard | |
| 8 | Grok 4.1 Fast | 7.67 | Nov 2025 | Official leaderboard | |
| 9 | | 7.27 | Sep 2025 | Official leaderboard | |
| 10 | gpt-oss-120b | 6.27 | Aug 2025 | Official leaderboard | |
| 11 | gpt-oss-20b | 5.80 | Aug 2025 | Official leaderboard | |
| 12 | Kimi K2 Thinking | 5.47 | Nov 2025 | Official leaderboard | |
| 13 | Kimi K2.5 | 5.33 | Jan 2026 | Official leaderboard | |
| 14 | Claude Haiku 4.5 | 5.07 | Oct 2025 | Official leaderboard | |
| 15 | GLM-4.7 | 3.07 | Dec 2025 | Official leaderboard | |
| 16 | | 3.07 | Dec 2025 | Official leaderboard | |
| 17 | mistral-large-2512 | 1.47 | Official leaderboard |
The best score, 19.3, costs $11 a task
Runs on the cost frontier score higher than any run that's cheaper. GPT-5.2 comes within 0.9 of the best for $4.36 a task, 3 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 |
|---|---|---|---|---|---|
| | 19.3 | $11 | |||
| GPT-5.2 | 18.4 | $4.36 | |||
| | 16.7 | $2.15 | |||
| Claude Opus 4.5 | 13.9 | $15 | |||
| Claude Sonnet 4.5 | 11.9 | $8.88 | |||
| Grok 4 | 9.47 | $6.27 | |||
| | 8.67 | $1.01 | |||
| Grok 4.1 Fast | 7.67 | $0.22 | |||
| | 7.27 | $1.14 | |||
| gpt-oss-120b | 6.27 | $0.27 | |||
| gpt-oss-20b | 5.80 | $0.09 | |||
| Kimi K2 Thinking | 5.47 | $0.64 | |||
| Kimi K2.5 | 5.33 | $0.26 | |||
| Claude Haiku 4.5 | 5.07 | $1.19 | |||
| GLM-4.7 | 3.07 | $0.19 | |||
| | 3.07 | $0.11 |
3 models have held number one since its release in Aug 2025
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.
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 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