AutoArena

AutoArena is an automated head-to-head evaluation platform for generative AI applications. It enables benchmarking of LLMs, RAG systems, and other AI models by organizing judge-model responses in pairwise comparisons, producing reliable signals, leaderboards, and CI-ready insights. It supports multi-model judging from major providers as well as open-weight judge models, local runs, and scalable parallel evaluation. The tool focuses on reducing evaluation bias, improving accuracy of human-preference alignment, and streamlining integration into development workflows.

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How AutoArena Works

1. Run head-to-head evaluations between model pairs using judge models (from OpenAI, Anthropic, Cohere, Google, Together AI, etc.) or open-weights judges running locally (via Ollama).
2. Collect votes or preferences from judge models and human inputs to derive robust signals.
3. Compute Elo scores and confidence intervals to form leaderboard rankings.
4. Use parallelization, randomization, bias correction, retry logic, and rate limiting to ensure reliable results.
5. Integrate outputs into CI workflows and dashboards to compare system versions over time.

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Use Cases

• Compare multiple generations of a system to identify the best version.
• Improve human-preference alignment with domain-specific fine-tuned judges.
• Run continuous evaluations in CI to guard against regressions.
• Maintain a leaderboard of model variants for quick decision-making.

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How to Use AutoArena

• Install locally: pip install autoarena and start testing in seconds.
• Or use AutoArena Cloud at autoarena.app for managed collaboration.
• Connect judge models from various families or run open-weights judges locally via Ollama.
• Set up CI automations to test prompts, preprocessing, postprocessing, and RAG updates.
• Feed inputs (prompts) and collect outputs for evaluation, then review results and rankings.

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Pricing

• Open-Source: Free. Apache-2.0 licensed AutoArena application for students, researchers, hobbyists, and non-profits. Self-hosted option via pip install autoarena.
• Professional: $60 per user per month. Cloud access to fine-tuned judge models with higher accuracy votes, two-week free trial, dedicated Slack support.
• Enterprise: On-premises deployment (AWS/GCP/Azure or private), SSO, priority features, dedicated support, and enterprise billing.

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Getting Started

• Install locally: pip install autoarena and run.
• Or sign up for AutoArena Cloud at autoarena.app.
• Choose judge models across providers or deploy open-weight judges locally.
• Start head-to-head evaluations and view Elo-based leaderboards.

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Safety and Best Practices

• Use diverse judge-model families to reduce bias.
• Combine automated votes with human preferences for robust signals.
• Integrate into CI to catch regressions early.

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Core Features

• Head-to-head evaluation across multiple judge models (closed and open-weight) to compare AI systems
• Elo-based leaderboard with confidence intervals for reliable rankings
• Parallelization, randomization, bias correction, retrying, and rate limiting managed by AutoArena
• Support for CI integration and workflow automation
• Local and cloud deployment options (self-hosted via pip and cloud at autoarena.app)
• Fine-tune judge models for domain-specific evaluations to improve signal quality