Google vs Anthropic: Token Pricing, Speed & Intelligence
Full comparison of Google and Anthropic — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Gemini 2.5 — the largest context window at the lowest frontier price
Google DeepMind's Gemini family offers some of the most competitive frontier pricing, with Gemini 2.5 Pro delivering top-tier intelligence at $1.25/1M input tokens. The 1M+ token context window is the largest available. Gemini 2.5 Flash is a standout efficient model for vision and multimodal tasks.
Anthropic
Claude — safety-focused frontier AI with exceptional coding ability
Anthropic builds the Claude model family, known for long context windows (up to 200K tokens), strong coding performance, and a safety-first design philosophy. Claude 4 Opus and Sonnet lead on many coding and reasoning benchmarks. Prompt caching is available at significant discounts.
Key metrics
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Live token pricing
Strengths & weaknesses
Anthropic
Key differentiators
Frequently asked questions
Google FAQs
How much does the Google Gemini API cost?
Gemini 2.5 Pro costs $1.25/1M input tokens (up to 200K context) and $10/1M output. Gemini 2.5 Flash is $0.15/$0.60 per 1M tokens. Gemini 2.0 Flash is even cheaper at $0.10/$0.40 per 1M tokens.
What is the context window for Gemini models?
Gemini 2.5 Pro and Flash both support a 1,048,576-token (1M+) context window — the largest available from any major LLM provider. This makes them ideal for processing entire codebases, books, or long document collections.
Does Gemini support vision and multimodal inputs?
Yes. All Gemini 2.x models natively support images, audio, and video inputs alongside text. Gemini 2.5 Flash is particularly strong for vision tasks at a low cost.
Anthropic FAQs
How much does the Anthropic Claude API cost?
Claude 4 Opus costs $15/1M input and $75/1M output tokens. Claude Sonnet 4.5 is $3/$15 per 1M tokens. Claude Haiku 3.5 is the budget option at $0.80/$4.00. Prompt caching reduces input costs by up to 90%.
What is the context window for Claude models?
All Claude models support a 200,000-token context window, making them ideal for processing long documents, codebases, or multi-turn conversations without truncation.
How does Anthropic prompt caching work?
Anthropic's prompt caching lets you mark portions of your prompt (system prompts, documents, tool definitions) to be cached server-side. Cached tokens are billed at 10% of the standard input price after the first write, making repeated long-context calls dramatically cheaper.