Compare AI models

Honest head-to-head comparisons — price, context and what each model is actually good at. Every model is available through one OpenAI-compatible API.

Choosing between today's top models is rarely about which is “best” overall — it's about the trade-off that fits your task. Each page below puts two models side by side on the things that actually decide it: price per token, context window, and the kind of work each one is genuinely good at.

As a rule of thumb, reach for a flagship (GPT-5.5, Claude Opus 4.8, Gemini 3.1 Pro) when reasoning quality or agentic reliability matters most, and a lighter, cheaper model (Gemini 3 Flash, Claude Sonnet, GPT-5.4 mini) when speed, volume or cost dominate. A bigger context window helps when you're feeding in large codebases or long documents.

Once you've picked a winner, you can run it through the same OpenAI-compatible endpoint as every other model here — pay per token, switch any time.

GPT-5.5 vs GPT-5.6 Sol

OpenAI vs OpenAI — price, context & strengths.

Claude Fable 5 vs GPT-5.6 Sol

Anthropic vs OpenAI — price, context & strengths.

GPT-5.5 vs GPT-5.6 Terra

OpenAI vs OpenAI — price, context & strengths.

GPT-5.5 vs GPT-5.6 Luna

OpenAI vs OpenAI — price, context & strengths.

Kimi K2.7 Code vs Kimi K3 1M

Moonshot vs Moonshot — price, context & strengths.

Claude Fable 5 vs Kimi K3 1M