Anthropic vs Google: API Pricing and Model Comparison
Anthropic and Google both compete on context window length and reasoning capability. Here's how they compare.
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Provider overview
Anthropic
- Strengths: Claude family, reasoning, safety, long context
- Model count: 24 models
- Pricing: Premium pricing for premium models
- Strengths: Gemini family, long context, multimodal, cost-effective
- Model count: 0 models
- Pricing: Competitive pricing, especially for Flash models
Pricing comparison
Chat models
| Provider | Model | Input | Output |
|---|---|---|---|
| Anthropic | claude-3-haiku-20240307 | $0.2500 | $1.2500 |
| Anthropic | claude-haiku-4-5-20251001 | $1.0000 | $5.0000 |
| Anthropic | claude-haiku-4-5 | $1.0000 | $5.0000 |
When to choose Anthropic
- Reasoning tasks: Claude family excels at complex reasoning
- Safety-sensitive: Strong safety features and alignment
- Long context: Up to 200K tokens for Claude models
- Analysis: Excellent for document analysis and summarization
When to choose Google
- Long context: Up to 2M tokens for Gemini
- Cost-sensitive: Flash models are very affordable
- Multimodal: Strong vision capabilities
- Speed: Fast inference for real-time applications
Compare directly
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Related guides
Anthropic use-case guide
Model catalog, pricing tiers, and cost optimization strategies for Anthropic.
Google use-case guide
Model catalog, pricing tiers, and cost optimization strategies for Google.
OpenAI vs Anthropic comparison
Compare OpenAI and Anthropic API pricing, model catalogs, and capabilities.
Cross-provider pricing comparison
How pricing compares across OpenAI, Anthropic, Google, Mistral, and DeepSeek.
Hidden costs of LLM APIs
Rate limits, latency, evaluation overhead, and vendor risk beyond per-token pricing.
Frequently asked questions
Which is cheaper, Anthropic or Google?
Google's Flash models are generally cheaper than Anthropic's Claude family. For budget workloads, Google offers better value.
Which has better reasoning?
Anthropic's Claude family is generally considered better for complex reasoning, but Google's Gemini models are competitive.
Which has longer context windows?
Google's Gemini models offer up to 2M tokens, while Anthropic's Claude models offer up to 200K tokens. Google wins on context length.