Trader sentiment on Google Gemini achieving a competitive score on the FrontierMath benchmark by June 30 remains cautious, with market-implied odds hovering low due to its current dismal performance—Gemini 2.0 Flash Experimental scores just 2.9%, trailing OpenAI's o1-pro at 25.2% and even DeepSeek's R1 at 8.2%. Scale AI's rigorous 179-problem test of PhD-level math exposes Gemini's reasoning gaps despite recent upgrades like the December Gemini 2.5 Pro preview, which prioritized multimodality over pure math prowess. Competitive pressure from OpenAI's iterative o1 series and Anthropic's Claude intensifies, while Google's next major catalysts—potential I/O announcements in May or unannounced model drops—could catalyze gains, though historical delays in AI math breakthroughs temper optimism.
Résumé expérimental généré par IA à partir des données Polymarket · Mis à jour40 %+
94%
45 %+
66%
50%+
26%
60 %+
17%
$0.00 Vol.
40 %+
94%
45 %+
66%
50%+
26%
60 %+
17%
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.
Marché ouvert : Feb 6, 2026, 6:03 PM ET
Resolver
0x65070BE91...Resolver
0x65070BE91...Trader sentiment on Google Gemini achieving a competitive score on the FrontierMath benchmark by June 30 remains cautious, with market-implied odds hovering low due to its current dismal performance—Gemini 2.0 Flash Experimental scores just 2.9%, trailing OpenAI's o1-pro at 25.2% and even DeepSeek's R1 at 8.2%. Scale AI's rigorous 179-problem test of PhD-level math exposes Gemini's reasoning gaps despite recent upgrades like the December Gemini 2.5 Pro preview, which prioritized multimodality over pure math prowess. Competitive pressure from OpenAI's iterative o1 series and Anthropic's Claude intensifies, while Google's next major catalysts—potential I/O announcements in May or unannounced model drops—could catalyze gains, though historical delays in AI math breakthroughs temper optimism.
Résumé expérimental généré par IA à partir des données Polymarket · Mis à jour
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