AI Model Comparison

What is the AI Model Comparison Tool?

This AI model comparison tool puts the leading large language models — OpenAI's GPT, Anthropic's Claude, Google's Gemini, and DeepSeek — side by side, so you can compare their pricing, context windows, output limits, and capabilities in one place. With new models launching constantly and prices varying enormously, choosing the right one for your project, budget, or task is genuinely hard. This tool makes it simple: compare any two models head to head, or sort and filter the full table to find the cheapest option, the biggest context window, or the best all-round fit.

Whether you're a developer picking a model for an app, a business comparing API costs, or just trying to understand how GPT, Claude, and Gemini stack up, this gives you the facts that matter without the marketing.

How to Use This Comparison

For a direct matchup, use the head-to-head picker: choose two models and the better value in each row is highlighted — cheaper price, larger context window, longer maximum output. For the big picture, use the full table: tap the provider buttons to filter to one company, and sort to rank models by input price, output price, or context size.

GPT vs Claude vs Gemini: The Big Three

The three leading providers each have strengths. OpenAI's GPT models are the most widely adopted, with strong general performance and a huge ecosystem. Anthropic's Claude models are favoured for coding, long-context work, and careful reasoning. Google's Gemini models offer enormous context windows, native multimodal support, and some of the lowest prices through their Flash tier. There's no single "best" — the right choice depends on your specific task, budget, and whether you need vision, reasoning, or massive context.

Understanding Pricing

All API pricing is per million tokens, billed separately for input (what you send) and output (what the model generates). Output almost always costs more — often three to five times the input rate. Prices range hugely: budget models like Gemini Flash-Lite cost around $0.10 per million input tokens, while flagships like GPT-5.5 or Claude Opus run $5 per million input and up to $30 per million output. For the same task, the cheapest and most expensive models can differ by 50x or more, which is why comparing matters.

What is a Context Window?

The context window is the maximum number of tokens a model can consider at once — its working memory. A larger window lets you feed in more: longer documents, entire codebases, or extended conversations. Modern flagships have reached around 1 million tokens (roughly 750,000 words), enough for several full books at once. If you work with large documents or codebases, context window is a key differentiator. Note that some models charge a premium for very long prompts above a threshold.

What is Maximum Output?

Separate from the context window, maximum output is the longest response a model can produce in a single call — typically tens of thousands of tokens. This matters when you need the model to generate long content: detailed reports, large code files, or extensive translations. A model can have a huge context window but a smaller output cap, so if you need long generations, check this figure specifically rather than assuming the context size applies to output.

Model Capabilities Explained

• Vision (multimodal): the model can accept images as input — for analysing photos, screenshots, charts, or documents.
• Reasoning: extended "thinking" before answering, improving performance on complex maths, logic, and coding (at the cost of more tokens).
• Tools / function calling: the model can call external functions and APIs, essential for agents and integrations.
• Free tier: some providers (notably Google) offer limited free usage, useful for prototyping.

Which AI Model Should You Choose?

Match the model to the job. For simple, high-volume tasks (classification, extraction, routing), a budget model gives the best value. For general production work, a balanced mid-tier model like Claude Sonnet, GPT-5.4, or Gemini Flash offers the best price-to-quality ratio. For the hardest tasks (complex coding, deep reasoning, agentic workflows), a flagship justifies its premium. If you need huge context, favour Gemini or the 1M-token flagships; if you need vision, check the capability column; if budget is everything, sort by input price and start at the top.

Frequently Asked Questions