MQ
MODELQUEST
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Claude Sonnet 5 · API · High effort (default)
Evidenceacceptedthird_party_leaderboard

Artificial Analysis API latency / throughput

Artificial Analysis — Claude Sonnet 5 (high) · Anthropic provider

ev_2026_07_sonnet5_aa_speed

Result
Configuration

How it was measured

Exact model
claude-sonnet-5
Reasoning
high
Agent harness
none
Tool access
none for raw throughput measurement
Prompting
Artificial Analysis standard latency suite

Artificial Analysis provider page for Claude Sonnet 5 (high effort) on Anthropic API — output speed ~71 tok/s, TTFT elevated under high reasoning.

Caveats

Known limitations

  • High-effort mode is much slower (TTFT) than non-reasoning Sonnet configs.
  • AA measurements vary by day and load; treat as order-of-magnitude tempo signal.
  • normalisedScore is a curator seed for 0–100 tempo mapping, not AA's own scale.
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
recency0.95
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 →