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DeepSearchQA (internal implementation)

We haven't written a description for this benchmark yet; see the card notes below for how each maker ran it.

Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
  1. 1Grok 4.6 · xAIbest value
    81.6%

“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.

How each maker reported it

  • Grok 4.6 §2–7, p.7–28

    Grok models at high effort (EEBench Grok 4.6 xhigh is 60.0%). Competitors at max effort (Fable 5 with fallback); GPT-5.6 Sol at xhigh on APEX-SWE and CADGenBench, high on DeepSearchQA. Most results come from third-party evaluators, each with its own harness. CyberGym is run without production safeguards.

Only each model's own maker's number is shown; scores a maker reports for rival models are left out.