MQ
MODELQUEST
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Gemini 3.1 Pro · API · High thinking
Evidenceacceptedpricing_page

Official product pricing

Google AI — Gemini API pricing (3.1 Pro)

ev_2026_07_gem31pro_pricing

Result
Configuration

How it was measured

Exact model
gemini-3.1-pro-preview
Reasoning
high
Tool access
n/a
Prompting
n/a
Caveats

Known limitations

  • Extended-context tier doubles list rates above 200k.
  • Thinking tokens bill as output — list $/MTok understates hard-task cost.
Weighting

Evidence weight factors

The engine weights each evidence row by these factors (0–1) when fusing scores — higher is more trusted.

relevance1.00
quality0.80
recency1.00
health1.00
comparability1.00
reliability1.00
Benchmark

Official product pricing

Official per-token API pricing from the provider pricing page.

Benchmark source →