Compare models, price, context, and benchmarks
Compare GPT-5.5, Claude, Gemini, Grok, DeepSeek, and Qwen models side by side by API price, context, benchmark signal, capabilities, and scenario cost.
Anthropic: Claude Opus 4.7
Anthropic: Claude Opus 4.6
Anthropic: Claude Opus 4.7
Model comparison notes
What should I compare first?
Start with scenario cost, context window, benchmark signal, and required capabilities such as tools, JSON output, reasoning, vision, or audio.
Why can the cheapest model be a poor fit?
Low token price does not guarantee enough context, output limit, quality, or tool support. The comparison table keeps cost and capability signals visible together.
Are route prices directly comparable?
They are useful directional comparisons, but direct provider APIs and aggregator routes can have different terms, limits, and billing details.
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