Claude vs ChatGPT vs Gemini: Pricing Comparison 2025

Consumer Plan Comparison

At the consumer subscription level, all three major AI platforms converge on almost identical pricing. This is not coincidence: each watches the others carefully and prices to match.

Claude Pro gives you access to Claude 3.5 Sonnet and Claude 3 Opus with significantly higher limits than the free tier. The 200K token context window is a genuine differentiator: it allows you to analyse a 150,000-word document in a single conversation, something neither ChatGPT Plus nor Gemini Advanced handles comparably.

API Pricing Head to Head

API pricing is where meaningful differences emerge. All three providers price per million tokens, splitting input and output. Anthropic's Sonnet models compete with OpenAI's GPT-4o on capability, but the pricing structures differ.

Claude 3.5 Haiku at $0.80/M input offers an interesting middle ground: cheaper than GPT-4o but more capable than GPT-4o mini for many tasks, and with a 200K context window that neither OpenAI mini model matches. For long-document tasks where cost matters, Haiku is often the better choice than GPT-4o mini.

Claude's Prompt Caching Advantage

Anthropic offers prompt caching with an explicitly favourable pricing model. Cache writes cost $3.75/M tokens (for Sonnet) and cache reads cost $0.30/M tokens. A cache read is 10x cheaper than a standard input token. For applications with long, repetitive system prompts or static context, this can dramatically reduce effective input costs.

Example: a legal analysis tool that prepends a 10,000-word legal reference document to every request. Without caching, each request costs roughly $0.03 in input tokens for that document alone (at Sonnet rates). With caching, after the first call, the cache read costs $0.003. For 10,000 daily calls, that one optimisation saves roughly $270 per day.

OpenAI also offers prompt caching, but Anthropic's cache read pricing at $0.30/M is more aggressive on the read side than OpenAI's 50% discount approach. For applications with heavy context reuse, Claude's caching economics can be more favourable than the raw per-token comparison suggests.

Context Window Comparison

Context window size has a direct impact on what you can do with an API call. Larger context windows allow longer documents, more conversation history, and more examples in prompts.

• -Claude (all models): 200K tokens (approximately 150,000 words)
• -Gemini 1.5 Pro: 2 million tokens (approximately 1.5 million words)
• -GPT-4o: 128K tokens (approximately 96,000 words)
• -GPT-4o mini: 128K tokens

For most applications, 200K is more than sufficient. Gemini's 2M context window is genuinely useful for processing entire codebases, book-length documents, or hour-long video transcripts. If your application requires processing very large documents in a single context, Gemini 1.5 Pro is the only option that handles it directly.

Which Should You Choose?

The choice between Claude, ChatGPT, and Gemini at the API level depends on your specific requirements: