Google Gemini vs Anthropic

Side-by-side — pricing, strengths, tradeoffs, and fit.

Google Gemini

Google’s multimodal LLM family with long context, via the Gemini API and Vertex AI.

Anthropic

AI safety company building Claude, the helpful, harmless, and honest AI assistant.

At a glance

Free TierEnterprise
◐ Growing·From $0.075/1M input tokens (Flash)
Free TierEnterprise
● Established·From $0.25/1M input tokens (Haiku)

Overview

One-liner

Google’s multimodal LLM family with long context, via the Gemini API and Vertex AI.

One-liner

AI safety company building Claude, the helpful, harmless, and honest AI assistant.

Maturity

Growing

Maturity

Established

Open source

✕ No

Open source

✕ No

Pricing

Free tier

✓ Available

Free tier on Google AI Studio with rate limits

Free tier

✓ Available

Free tier on claude.ai with rate limits. API has pay-as-you-go pricing

Starts at

$0.075/1M input tokens (Flash)

Starts at

$0.25/1M input tokens (Haiku)

Model

Usage-based

Model

Usage-based

Enterprise

✓ Available

Enterprise

✓ Available

Best for

✓ Best for

Multimodal and long-context tasksMillion-token context and native media
Teams on Google CloudNative Vertex AI deployment

✓ Best for

Applications requiring long document analysis200K context window handles entire codebases and long documents without chunking
Enterprise AI deployments needing safety guaranteesConstitutional AI training produces more predictable and steerable outputs
Coding assistants and developer toolsTop-tier code generation with strong instruction following and tool use

Not ideal for

✕ Not for

—

✕ Not for

Image or video generationText-only output — pair with image generation models for multimodal applications
Latency-critical applications needing sub-100ms responsesLLM inference has inherent latency; Haiku is fastest but still ~200ms for short prompts

Strengths

↑ Strengths

Very long context windows
Natively multimodal
Competitive pricing (Flash)

↑ Strengths

Best-in-class long context handling (200K tokens)
Industry-leading coding capabilities
Strong safety alignment with Constitutional AI
Excellent tool use and structured output

Weaknesses

↓ Weaknesses

Free tier users' content is used to train and improve Google's products.
Grounding with Google Search is unavailable on the free tier.
Free tier access is limited to specific models.

↓ Weaknesses

No image generation or multimodal output
Limited availability in some regions
Higher cost for Opus tier compared to competitors
Full Google Gemini profile →Full Anthropic profile →