OpenGenerativeAI/llm-colosseum

Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

47
/ 100
Emerging

Supports both text-based and vision-based LLM agents through a real-time game loop that evaluates decision-making under time pressure and incomplete information. The framework integrates with multiple LLM providers (OpenAI, Anthropic, Mistral, Ollama) via a unified API abstraction, uses DIAMBRA for Street Fighter III emulation, and ranks models with an ELO scoring system across 546+ completed matches. Agents receive either text descriptions or raw game screenshots, forcing them to balance strategic planning with low-latency responses in a competitive multiplayer environment.

1,467 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

1,467

Forks

178

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 21, 2025

Commits (30d)

0

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