FRONTIER AUDIT v2.4 Live Lab
“Welcome to the AGI era: human-level parity across frontier benchmarks with 4x cost reduction”
Target: OpenAI Astra Launch Briefing Audited Against: Artificial Analysis Evals & System Card Footnotes
Frontier Claim Gap
-8.4%
Claimed vs Independent Eval
Scaffolding Inflation
+12.9%
Pass@1 vs Best-of-32 voting
Footnote Penalty
38 / 100
Buried constraints index
Real Token Pricing
$3.40
Blended /1M uncached vs claimed $0.95
Claim Discrepancy Radar 5-Vector Rigorous Dissection
Vendor Claim Envelope
Independent Verification (Artificial Analysis)

Empirical Benchmark Score Matrix

Benchmark Claimed Score Independent Eval Delta Scaffolding Caveat
System Card Footnote Decomposer 3 Caveats Disclosed

High-magnitude claims frequently depend on unstated or fine-print evaluation conditions. These system card notes explain the divergence from out-of-the-box performance.

Interactive Claim Stress-Tester Adjust real-time audit tolerances
0% (Lenient) 45% (Production Strict) 100% (Zero-Trust)
Executive Diligence Briefing Output Enterprise Ready Audit Summary
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Frontier AI Claim Auditor Mechanism Explainer

Read the explanation

Frontier model launches often highlight peak benchmarks that diverge significantly from out of the box performance. System card footnotes disclose fine print conditions like best of thirty-two sample voting, agent retries, and specialized prompts. When you adjust the tolerance slider and re-audit, the auditor recalculates the empirical gap and scales down the verified radar polygon. The resulting diligence brief gives procurement teams transparent pass at one expectations and accurate production pricing.

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