L LLM Cloud Hub
Side-by-side comparison

Anthropic Claude Sonnet Latest vs GPT Chat Latest

Anthropic

Anthropic Claude Sonnet Latest

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$3.0000
Output / 1M
$15.0000
View Anthropic Claude Sonnet Latest β†’
OpenAI

GPT Chat Latest

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$5.0000
Output / 1M
$30.0000
View GPT Chat Latest β†’
Anthropic Claude Sonnet LatestGPT Chat Latest
Provider Anthropic OpenAI
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 1,000,000 400,000
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). vision, tools, json_mode vision, tools, json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 3.0000 5.0000
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 15.0000 30.0000

Frequently asked questions

Which is cheaper, Anthropic Claude Sonnet Latest or GPT Chat Latest?

Anthropic Claude Sonnet Latest is cheaper than GPT Chat Latest on a 50/50 input/output blend by about $8.5 per 1M tokens. Exact savings depend on your input-vs-output ratio β€” use the cost calculator on this page for a workload-specific estimate.

Which has a larger context window, Anthropic Claude Sonnet Latest or GPT Chat Latest?

Anthropic Claude Sonnet Latest has the larger context window at 1M tokens versus 400k tokens for GPT Chat Latest. That means Anthropic Claude Sonnet Latest can ingest about 2.5x as much text per request.

What is the difference between Anthropic Claude Sonnet Latest and GPT Chat Latest?

Anthropic Claude Sonnet Latest comes from Anthropic; GPT Chat Latest comes from OpenAI. They differ in pricing, context window, and supported capabilities β€” see the side-by-side table on this page for the exact figures, refreshed nightly.

Keyboard shortcuts

?
Show this overlay
/
Focus the first form field
g h
Go to / (home)
g b
Go to /best-llm-for
g c
Go to /cost
g s
Go to /self-hosted
g x
Go to /compliance
Esc
Close any overlay

Inspired by Linear and GitHub conventions. The two-key sequences (g then h) work within ~1 second.