AI models ranked
Curated rankings of frontier and open-source AI models for developers. Scored on coding ability, reasoning, instruction following, speed, and cost efficiency.
43 models - page 1 of 4
Anthropic's current frontier model. State-of-the-art on SWE-bench, best-in-class instruction following, and extended thinking built-in. The go-to for agentic coding workflows.
OpenAI's most powerful reasoning model. Unmatched on complex logic, math, and scientific reasoning tasks.
Anthropic's previous-generation flagship with extended thinking. Exceptional coding and instruction following - predecessor to the Sonnet 4.x line, still widely deployed.
Google's most capable model with an industry-leading 1M token context window. Excellent at long-context analysis and coding.
xAI's newest reasoning model with a 2M token context window. 1.8s time-to-first-token, 379 tps throughput - strong chain-of-thought for complex tasks.
Compact reasoning model from OpenAI. Strong reasoning at fraction of o3 cost - excellent coding and math.
xAI's latest non-reasoning model with a 2M context window. 0.2s latency for snappy responses at scale.
xAI's multi-agent optimized variant with extraordinary 3097 tps throughput and a 2M token context. Built for parallelized agentic pipelines.
Open-source reasoning model rivaling o1. Transparent chain-of-thought reasoning, freely deployable.
OpenAI's largest non-reasoning model. Improved naturalness, nuanced coding assistance, and broad knowledge. Strong general-purpose workhorse for complex prompts.
Chinese research lab's open-source flagship. Extraordinary coding ability at an unbelievably low price point.