Anthropic vs Google: Token Pricing, Speed & Intelligence
Full comparison of Anthropic and Google — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
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.
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.
Key metrics
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Live token pricing
Strengths & weaknesses
Anthropic
Key differentiators
Frequently asked questions
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.
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.
Provider resources
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.
Claude 4 Opus scores highest on coding benchmarks among all frontier models, with a 200K context window and aggressive prompt caching.
Google — 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.
Gemini 2.5 Pro delivers frontier-tier intelligence at $1.25/1M input tokens — the best price-to-performance ratio among all frontier models.
Key strengths compared
Anthropic
- ▸Top coding benchmark scores (Claude 4 Opus)
- ▸200K context window on all Claude models
- ▸Aggressive prompt caching — up to 90% discount
- ▸1M+ token context window — largest available
- ▸Best price-per-intelligence at frontier tier ($1.25/1M input)
- ▸Native multimodal: text, image, audio, video
Provider category context
Anthropic is a frontier lab, founded in 2021. Google is a frontier lab, founded in 1998. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.
How to choose between them
Both Anthropic and Google are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: Anthropic leads on top coding benchmark scores (claude 4 opus), while Google leads on 1m+ token context window — largest available. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.