AI Model Comparison Table
Compare leading LLMs on context window, pricing, multimodal support, and ideal use cases. Filter by provider or use case.
| Model | Context | $/1M In | $/1M Out | Vision | Tool Use | Knowledge Cut | Best For |
|---|
Frequently Asked Questions
Which model has the largest context window?▼
As of early 2025, Gemini 1.5 Pro supports 1M tokens (with 2M in preview), making it the largest context window for production use. Claude 3.5 supports 200K and GPT-4o supports 128K. For most tasks, 128K is more than sufficient.
What does 'knowledge cutoff' mean?▼
The knowledge cutoff is the date after which the model has no training data. It does not know about events, libraries, or code changes after this date. For real-time tasks, combine models with RAG or web search tools.
OpenAI vs Anthropic vs Google — which should I use?▼
GPT-4o excels at code, structured output, and tool use. Claude 3.5 Sonnet excels at long-document analysis, reasoning, and instruction following. Gemini 1.5 Pro excels at very long contexts and multimodal tasks. Run your specific task benchmark before committing.
Are these prices accurate?▼
Prices shown are as of Q1 2025. LLM pricing changes frequently. Always verify at the official provider pricing pages: platform.openai.com/pricing, anthropic.com/pricing, and ai.google.dev/pricing.
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