L LLM Cloud Hub
Side-by-side comparison

Claude Opus 4.7 vs Gemini 3.1 Pro Preview

Anthropic

Claude Opus 4.7

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$5.0000
Output / 1M
$25.0000
View Claude Opus 4.7 β†’
Google

Gemini 3.1 Pro Preview

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$2.0000
Output / 1M
$12.0000
View Gemini 3.1 Pro Preview β†’
Claude Opus 4.7Gemini 3.1 Pro Preview
Provider Anthropic Google
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 1,000,000 1,048,576
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†’ 5.0000 2.0000
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 25.0000 12.0000

Frequently asked questions

Which is cheaper, Claude Opus 4.7 or Gemini 3.1 Pro Preview?

Gemini 3.1 Pro Preview is cheaper than Claude Opus 4.7 on a 50/50 input/output blend by about $8 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, Claude Opus 4.7 or Gemini 3.1 Pro Preview?

Gemini 3.1 Pro Preview has the larger context window at 1M tokens versus 1M tokens for Claude Opus 4.7. That means Gemini 3.1 Pro Preview can ingest about 1.0x as much text per request.

What is the difference between Claude Opus 4.7 and Gemini 3.1 Pro Preview?

Claude Opus 4.7 comes from Anthropic; Gemini 3.1 Pro Preview comes from Google. 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.