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Open LLM Leaderboard

Ranking the best open LLMs by performance, price, and speed

Open LLM Leaderboard highlights

Independent ranking of open-weight large language models — Llama, Qwen, GLM, DeepSeek, Mistral, Kimi and more — by coding-arena score, GPQA Diamond, throughput, latency, and per-token pricing. Updated continuously from provider APIs and verified benchmarks. See the LLM Stats Score methodology for how rankings are computed.

FAQ

Common questions about the open llm leaderboard

What is the best open-source LLM right now?

Based on coding-arena performance — the most discriminating signal at the frontier — DeepSeek-V4-Flash-0731 currently leads. For knowledge-heavy reasoning (GPQA Diamond), Kimi K3 scores highest. Choose by axis rather than a single ranking — see the highlights above for per-metric leaders.

How does the Open LLM Leaderboard rank models?

Models are sorted by coding-arena score (when available), then by GPQA Diamond. Each row aggregates verified benchmark results, provider-reported pricing, and live performance metrics (output throughput and time-to-first-token) sampled across the major API providers. See the LLM Stats Score methodology for a high-level overview and its limitations.

How many models are tracked?

This leaderboard tracks 221 canonical models across every major lab and provider. New releases typically appear within hours.

Where does pricing data come from?

Per-model input/output pricing is pulled from each provider's public API price list and verified against billing samples from the LLM Stats proxy. When a model is hosted by multiple providers, the cheapest available rate is shown by default.

How is performance measured?

Output throughput (tokens/second) and time-to-first-token are collected consistently across supported provider APIs and summarized over a recent observation window. Per-model splits live on each model detail page.

How often does the data update?

Pricing, model metadata, and live performance metrics are reviewed on a recurring basis. Benchmark scores update when new evidence is verified and published.