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MODELQUEST
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Gemini 3.1 Pro · API · High thinking
Evidenceacceptedthird_party_leaderboard

Artificial Analysis API latency / throughput

Artificial Analysis — Gemini 3.1 Pro Preview · Google provider

ev_2026_07_gem31pro_aa_speed

Result
Configuration

How it was measured

Exact model
gemini-3.1-pro-preview
Reasoning
high
Agent harness
none
Tool access
none
Prompting
AA latency suite
Caveats

Known limitations

  • Decode speed is not end-to-end task latency under high reasoning (~25s TTFT).
  • normalisedScore is curator tempo seed (class-leading decode among scored peers).
Weighting

Evidence weight factors

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

relevance0.95
quality0.85
recency1.00
health0.90
comparability0.85
reliability0.75
Benchmark

Artificial Analysis API latency / throughput

Third-party measurements of output tokens/sec and time-to-first-token across API providers for a given model configuration.

Benchmark source →