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AI Model Comparison

Compare GPT-4, Claude, Gemini, and other leading LLMs side by side — context, pricing, and strengths.

Model Provider Context Input $/1M Output $/1M Best For Vision

Prices and specs approximate as of mid-2025. Always verify with official provider documentation.

Quick Recommendation Guide

Best for codingGPT-4o or Claude 3.5 Sonnet — both excel at code generation and debugging.
Best for long documentsGemini 1.5 Pro (1M tokens) or Claude 3 (200K) for processing large files.
Best for cost efficiencyGPT-4o mini, Claude 3 Haiku, or Gemini 1.5 Flash for high-volume tasks.
Best for reasoningClaude 3 Opus or GPT-4o for complex multi-step reasoning tasks.
Best open-sourceLlama 3.1 70B — free to run, competitive with mid-tier commercial models.
Best for multimodalGPT-4o for images, audio, and video understanding in a single model.

Frequently Asked Questions

What is a context window?

The context window is the maximum amount of text (in tokens) a model can process at once — including both your input and its output. Larger context windows allow processing of longer documents, codebases, or conversation histories.

GPT-4 vs Claude 3 — which is better?

It depends on the task. Claude 3.5 Sonnet generally outperforms GPT-4o on coding and instruction-following benchmarks. GPT-4o has stronger multimodal (image/audio) capabilities. Both are excellent general-purpose models.

What does "input/output price" mean?

AI APIs charge separately for the tokens you send (input) and the tokens the model generates (output). Output tokens are typically 3-5x more expensive than input tokens. The prices shown are per million tokens.