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LLM Model Comparison

Compare Claude, GPT, and Gemini models side by side: context window, input/output pricing, and supported modalities. A quick reference for picking the right model for the job.

Inputs
Gemini 2.0 FlashGoogle1M$0.1000$0.4000
textimageaudiovideo
GPT-4o miniOpenAI128K$0.1500$0.6000
textimage
Gemini 2.5 FlashGoogle1M$0.3000$2.50
textimageaudiovideo
Claude Haiku 4.5Anthropic200K$1.00$5.00
textimage
o3-miniOpenAI200K$1.10$4.40
text
Gemini 2.5 ProGoogle1M$1.25$10.00
textimageaudiovideo
GPT-4oOpenAI128K$2.50$10.00
textimageaudio
Claude Sonnet 4.xAnthropic200K$3.00$15.00
textimage
Claude Opus 4.xAnthropic200K$15.00$75.00
textimage

Prices per 1M tokens, list rates as of January 2026. Context in tokens. Specs change often — confirm with each provider before relying on them. Click a column to sort.

About LLM Model Comparison

Choosing a model means trading off price, context window, speed, and which inputs it accepts. This table lines up the major Claude, GPT, and Gemini models so you can compare per-million-token input and output pricing, how much context each holds, and whether it handles images, audio, or video — all in one place, sortable to whatever matters most for your use case.

Frequently asked questions

How current is this data?+

Specs and prices are captured as of the date noted on the page and change often. Always confirm against each provider's docs before committing.

What is a context window?+

It's the maximum number of tokens (prompt plus response) a model can consider at once. A bigger window lets you pass more documents or longer conversations.

Which model should I pick?+

Sort by what constrains you: cost for high volume, context window for long documents, or modalities if you need image/audio/video input. The cheapest capable model usually wins.

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