Chat Models
AI models for chat, Q&A, reasoning, and text generation
9 models15 makersData through Sep 16, 2026
Chat · Anthropic
Model maker
Capabilities
Model count
9JSON modePrompt CacheReasoningTool useVisionCached input 90% less
- TokenLab price-35% Discount
- Input$6.50Output$32.50/1M
- Official price
- Input$10.00Output$50.00/1M
JSON modePrompt CacheReasoningTool useVisionCached input 98% less
- TokenLab price-35% Discount
- Input$6.50Output$32.50/1M
- Official price
- Input$10.00Output$50.00/1M
JSON modePrompt CacheReasoningTool useVisionCached input 90% less
- TokenLab price-35% Discount
- Input$0.65Output$3.25/1M
- Official price
- Input$1.00Output$5.00/1M
JSON modePrompt CacheReasoningTool useVisionCached input 90% less
- TokenLab price-35% Discount
- Input$3.25Output$16.25/1M
- Official price
- Input$5.00Output$25.00/1M
JSON modePrompt CacheReasoningTool useVisionCached input 90% less
- TokenLab price-35% Discount
- Input$3.25Output$16.25/1M
- Official price
- Input$5.00Output$25.00/1M
JSON modePrompt CacheReasoningTool useVisionCached input 90% less
- TokenLab price-35% Discount
- Input$3.25Output$16.25/1M
- Official price
- Input$5.00Output$25.00/1M
JSON modePrompt CacheReasoningTool useVisionCached input 90% less
- TokenLab price-35% Discount
- Input$3.25Output$16.25/1M
- Official price
- Input$5.00Output$25.00/1M
JSON modePrompt CacheReasoningTool useVisionCached input 90% less
- TokenLab price-35% Discount
- Input$1.95Output$9.75/1M
- Official price
- Input$3.00Output$15.00/1M
All model series
2 seriesChoosing the right chat model
The right model balances task fit, output quality, latency, and price.
Selection signals
- Match the model to the input and output you actually need.
- Compare models that use the same pricing unit.
- A small test reveals quality and latency differences that a catalog cannot.
FAQ
What makes a good chat model?
A strong fit matches the task, quality bar, latency target, and budget. A small evaluation set makes quality and reliability differences easier to see.
Can I switch models later?
Yes. Keep the public model ID and request format explicit, and compare alternatives on the same tasks.