Rapid progress on FrontierMath, a benchmark of expert-level mathematics problems, drives the 99.7% market-implied probability that an AI model reaches ≥90% before 2027. As of early September 2026, OpenAI’s GPT-5.6 Sol leads the legacy version at 89% and FrontierMath v2 Tier 4 at 83%, following consistent gains from sub-2% at launch through GPT-5.5 releases and a June 2026 v2 update that corrected errors in 42% of problems and lifted scores across the board. Large language models continue to close the gap through scaled reasoning, tool use, and iterative releases, with trader consensus reflecting the historical pattern of math benchmarks saturating quickly once frontier systems exceed 50-70%. Remaining uncertainty centers on whether a new harder tier or version could reset the threshold before year-end.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado¿El modelo de IA obtiene un puntaje ≥ 90% en FrontierMath Benchmark antes de 2027?
Sí
$134,219 Vol.
$134,219 Vol.
Sí
$134,219 Vol.
$134,219 Vol.
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
Mercado abierto: Nov 12, 2025, 5:15 PM ET
Resolver
0x65070BE91...Resultado propuesto: Sí
Sin disputa
Resultado final: Sí
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
Resolver
0x65070BE91...Resultado propuesto: Sí
Sin disputa
Resultado final: Sí
Rapid progress on FrontierMath, a benchmark of expert-level mathematics problems, drives the 99.7% market-implied probability that an AI model reaches ≥90% before 2027. As of early September 2026, OpenAI’s GPT-5.6 Sol leads the legacy version at 89% and FrontierMath v2 Tier 4 at 83%, following consistent gains from sub-2% at launch through GPT-5.5 releases and a June 2026 v2 update that corrected errors in 42% of problems and lifted scores across the board. Large language models continue to close the gap through scaled reasoning, tool use, and iterative releases, with trader consensus reflecting the historical pattern of math benchmarks saturating quickly once frontier systems exceed 50-70%. Remaining uncertainty centers on whether a new harder tier or version could reset the threshold before year-end.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado



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