MQ
MODELQUEST
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Claude Opus 4.8 · API · High effort (default)
Evidenceacceptedthird_party_leaderboard

Artificial Analysis API latency / throughput

Artificial Analysis — Opus 4.8 provider throughput

ev_2026_07_opus48_aa_speed

Result
Configuration

How it was measured

Exact model
claude-opus-4-8
Reasoning
max
Agent harness
none
Tool access
none
Prompting
AA latency suite
Caveats

Known limitations

  • Varies by effort and provider load.
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
comparability0.80
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 →