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Practical benchmarks, performance tests, and experiential evaluations for open models.

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Practical LLM Evals

Hands-on benchmarks, performance tests, and visual explorations for LLMs.

Benchmark your inference endpoint

Test the speed, quality, and load behavior of an OpenAI-compatible endpoint.

These benchmarks are agent-first: each one has a runbook (AGENTS.md) that a coding agent can follow. You can also run them by hand.

Start here: benchmarks/README.md →

Fun eval tools

Games that compare models by how they play. Both have their own repos.

  • 🏇 LLM Derby — models race when they answer trivia. It compares accuracy, speed, and cost. Play live →
  • 🐍 LLM Snake Arena — two models play Snake against each other. It compares response speed, reliability, and decision-making. Play live →

📊 Nebius Token Factory Model Visualizer

model-visualizer/README.md

Visually explore models available on Token Factory via intelligence, pricing, release timelines, and context-window trends.
Explore models → (ready to use, no API key needed)

Developer utilities

🧪 Few testing utils — smoke-tests the Chat Completions and Responses APIs and measures streaming throughput and more.

Fun projects

Playable games, simulations, demos, and 3D scenes created with AI coding agents and models.

  • 🎮 Quake Game — a browser-playable take on the classic game, created with coding agents and Kimi K3. Play live →

Browse all fun projects →

About

Practical benchmarks, performance tests, and experiential evaluations for open models.

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