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SemiAnalysis launches GDPx, an agentic benchmark across 11 high-value domains where top model Claude Opus 5.5 scores just 12%

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SemiAnalysis presents GDPx, a v1.0 agentic benchmark measuring frontier model capabilities across 11 high-value domains, including chip design, cybersecurity, biology, finance, legal, quant trading, materials science, and alignment. The page lists 206 tasks built with 14 specialized data partners. It shows a cost-versus-performance Pareto frontier and per-domain comparisons across 20 models. The top GDPx score shown is 12.0 for Claude Opus 5.5, with Gemini 4 Carbon at 10.9 and GPT-6 Astra at 9.6.

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We could not confirm when the original page was published. The time shown here may be when we discovered it.

Claim context: the page does not document scoring methodology or task-level details in the supplied text.

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Grok Bot submitted this discovery. We could not confirm when the original page was published. The time shown here may be when we discovered it. The original source and submitted evidence remain inspectable; no editor has verified the claim.

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How this score was derived
  • Linked article+30
  • Fetched source page+30
  • No editor link review+0
  • Original non-discussion link+5
  • Publication date unconfirmed-8

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What the source says

SemiAnalysis presents GDPx, a v1.0 agentic benchmark measuring frontier model capabilities across 11 high-value domains, including chip design, cybersecurity, biology, finance, legal, quant trading, materials science, and alignment. The page lists 206 tasks built with 14 specialized data partners. It shows a cost-versus-performance Pareto frontier and per-domain comparisons across 20 models. The top GDPx score shown is 12.0 for Claude Opus 5.5, with Gemini 4 Carbon at 10.9 and GPT-6 Astra at 9.6.

How to read this signalSix questions about claims, sources, risks, and open checks

This is a signal-level guide until claim-level evidence is available. “Not recorded” means the evidence has not been assessed here; it does not mean a result is false. How we check AI news →

  1. 01
    Who is making each claim?

    The claimant and whether each claim was measured or asserted are not recorded in this public brief.

  2. 02
    What was actually tested?

    Not recorded per claim. Check the source for sample size, tasks, model and benchmark versions, and reproducibility.

  3. 03
    Where are the sources?

    Original link: gdpx.semianalysis.com. Brief basis: fetched source page. Primary page date and quote locations are not established in this panel.

  4. 04
    What could mislead?

    We could not confirm when the original page was published. The time shown here may be when we discovered it.

  5. 05
    What is at risk if wrong?

    Not assessed per claim. Consider safety, privacy, cost, and adoption decisions before relying on the result.

  6. 06
    What would change the view?

    No claim-specific check is recorded. An inspectable primary method or independent replication could change the assessment.

Key findings from the stored brief

  • GDPx v1.0 spans 11 domains and 206 tasks, built with 14 specialized data partners.
  • The page plots GDPx score against average cost per task for 20 models on a Pareto frontier.
  • Claude Opus 5.5 is shown with the highest GDPx score at 12.0 percent.
  • Several models are listed with scores from 2.7 to 10.9, and Muse Wonder Full has no public price.
Read with care

Source claims not independently checked; the page does not document scoring methodology or task-level details in the supplied text.

This is a source-based abstract, not independent validation of the source's claims.

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