MQ
MODELQUEST
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DeepSeek V4 Pro · API · Max effort
Evidenceacceptedindependent_lab

GPQA Diamond

Artificial Analysis — GPQA Diamond (DeepSeek V4 Pro max)

ev_2026_07_dsv4pro_aa_gpqa

Result
Configuration

How it was measured

Exact model
deepseek-v4-pro
Reasoning
max
Agent harness
none
Tool access
none (closed-book scientific QA)
Prompting
Artificial Analysis standard GPQA Diamond protocol

PRIMARY INT — independent Artificial Analysis GPQA Diamond under max effort. Float locked via AA-sourced OpenRouter model card (AA does not expose raw % in static HTML; OpenRouter attributes metrics to AA).

Caveats

Known limitations

  • GPQA near-saturated at frontier; use peer comparison not absolute %.
  • Float transcribed from AA-sourced OpenRouter mirror of AA evaluation suite.
  • Max effort — not default chat / Flash.
  • Prefer this AA figure over vendor 90.1% for independent INT primary.
Weighting

Evidence weight factors

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

relevance0.95
quality1.00
recency1.00
health0.70
comparability0.90
reliability0.85
Benchmark

GPQA Diamond

Graduate-level science questions (biology, physics, chemistry) designed to be Google-proof; Diamond is the hardest subset where PhD experts score ~65%.

Benchmark source →