An independent ranking of the strongest large language models in the world — intelligence, coding, and the specialists. We track it so we always deploy the right model for your problem, not the most hyped one.
There is no single best LLM for everything. This leaderboard ranks the top large language models by a composite intelligence score and by coding ability. The strongest models overall come from Anthropic (Claude), OpenAI (GPT) and Google (Gemini) — but the right choice depends on your task, budget, latency and data-security needs.
We score coding ability separately from general intelligence because the rankings differ. The Coding column on the leaderboard and the category champions section above show the current best model for code generation and debugging.
It depends on the task. Compare both directly on the leaderboard using their intelligence and coding scores. Claude models often lead on long-context reasoning and coding, while GPT models are strong all-rounders. The most reliable way to decide is a short proof-of-concept on your own data.
Open-weight models such as Meta's Llama and Alibaba's Qwen appear on the leaderboard alongside closed models, so you can compare the best open-source option against commercial APIs on the same intelligence and coding scales.
The leaderboard is refreshed regularly from an independent third-party evaluation as new models are released and re-tested, so it reflects the current state of the AI frontier.
A leaderboard tells you what's strong in general. The harder question is which model — open or closed, large or small — is right for your data, your latency budget, and your security needs. That's the conversation our consultant is built for.