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Compare models.
Make a clearer choice.

API costs, context limits and what it takes to run a model yourself. Start with a matchup, or pick models from the directory.

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Pick any two API models

First model

Second model

Choose a listed ID from the suggestions. Each pair opens its own shareable page.

Start with these matchups

API models

Claude Sonnet 5.5 vs GPT-6 Sol

Compare two hosted models for a text, document or image workflow. Check API costs, context limits and output allowances before choosing an endpoint.

See the differences API models

GPT-6 Luna vs GPT-6 Sol

Compare two GPT-6 API options before budgeting for a chat, writing or automation workflow. Start with the price difference, then check the inputs and limits your application needs.

See the differences API models

GPT-6 Astra vs Gemini 3.1 Pro Preview

Compare input formats, context limits and API pricing for two large-context models. Gemini is a preview listing, so version stability is part of the decision.

See the differences Downloadable models

Qwen3 4B vs Qwen3 8B

Choose between two sizes in the Qwen3 family. The smaller checkpoint needs less space for its weights; the complete memory requirement also depends on precision, context and runtime.

See the differences Downloadable models

Qwen3 8B vs Llama 3.1 8B Instruct

Compare two similarly sized text models with different release terms and context configurations. Select the exact checkpoint before checking local memory or hosted deployment options.

See the differences

A useful comparison starts with your task

Check the inputs

Text, images, audio and video support vary. Make sure both models accept what your application needs.

Price the full workload

Input, output, long prompts and tools can have different charges. Subscription prices and API token prices are separate.

Choose where it runs

Downloadable weights need a compatible runtime and enough memory. API-only models run through a hosted service.