OpenAI vs Anthropic vs Google: AI Model Comparison in 2026

The language model market has never been more competitive. Here we analyze the main players.

OpenAI (GPT-4 and beyond)

Strengths

• Mature ecosystem: Well-documented and stable APIs
• Versatility: Excellent for general tasks
• Plugins and tools: Integration with browsing, code interpreter, DALL-E

Weaknesses

• Premium pricing
• More limited context window than competitors
• Less transparency about the model

Ideal for

Enterprise applications that need stability and robust support.

Anthropic (Claude)

Strengths

• Huge context window: Up to 200K tokens
• Safety: Designed with "Constitutional AI"
• Reasoning quality: Excellent at complex tasks
• Honesty: Better at admitting when it doesn't know something

Weaknesses

• Fewer integrated tools
• More conservative on certain topics

Ideal for

Long document analysis, code, and applications requiring safer responses.

Google (Gemini)

Strengths

• Native multimodality: Text, image, video, audio
• Google integration: Search, Workspace, Cloud
• Competitive pricing: Especially Gemini Flash

Weaknesses

• Less mature API
• Confusing history of brand changes

Ideal for

Multimodal applications and companies already in the Google ecosystem.

Comparison Table

Aspect	OpenAI	Anthropic	Google
Cost (per 1M tokens)	$$$$	$$$	$$
Context Window	128K	200K	1M+
Multimodality	✓	✓	✓✓✓
Speed	Fast	Medium	Very fast

Which One to Choose?

The honest answer: it depends on your use case. And better yet, why choose just one?

With PromptRouter, you can automatically use the optimal model for each task. Simple tasks go to economical models, complex tasks to premium models. This way you get the best of all worlds.

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Optimize your use of multiple providers with PromptRouter. One API, all models.