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icon for Google Gemini score on FrontierMath Benchmark by June 30?
Teknologi·Big Tech

Google Gemini score on FrontierMath Benchmark by June 30?

icon for Google Gemini score on FrontierMath Benchmark by June 30?
Teknologi·Big Tech

Google Gemini score on FrontierMath Benchmark by June 30?

$136,324 Vol.

Feb 28, 2026
Polymarket

$136,324 Vol.

Polymarket

40%+

$30,573 Vol.

86%

45%+

$49,669 Vol.

64%

50%+

$18,855 Vol.

62%

60%+

$37,227 Vol.

54%

This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No". 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. Google DeepMind's May 2026 launch of the AI Co-Mathematician system marks a pivotal advance, elevating Gemini 3.1 Pro's raw 19% score on FrontierMath Tier 4—a benchmark of unsolved research-level math problems—to 48% via multi-agent scaffolding, extended compute, and verification loops, surpassing OpenAI's GPT-5.5 Pro (39.6%). While raw Gemini models trail overall leaderboard leaders like GPT-5.5 Pro (52.4%), this agentic leap underscores Google's competitive push in artificial intelligence mathematical reasoning against OpenAI and Anthropic's Claude Opus 4.7 (43.8%). Traders focus on Google I/O May 19-20 for Gemini 3.5 or 4.0 previews, with math enhancements potentially shifting market-implied odds before the June 30 resolution on official model evaluations.

This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".

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.
Volume
$136,324
Tanggal Berakhir
Jun 30, 2026
Pasar Dibuka
Feb 6, 2026, 6:03 PM ET

Resolver

0x65070BE91...
This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No". 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.
This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No". 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. Google DeepMind's May 2026 launch of the AI Co-Mathematician system marks a pivotal advance, elevating Gemini 3.1 Pro's raw 19% score on FrontierMath Tier 4—a benchmark of unsolved research-level math problems—to 48% via multi-agent scaffolding, extended compute, and verification loops, surpassing OpenAI's GPT-5.5 Pro (39.6%). While raw Gemini models trail overall leaderboard leaders like GPT-5.5 Pro (52.4%), this agentic leap underscores Google's competitive push in artificial intelligence mathematical reasoning against OpenAI and Anthropic's Claude Opus 4.7 (43.8%). Traders focus on Google I/O May 19-20 for Gemini 3.5 or 4.0 previews, with math enhancements potentially shifting market-implied odds before the June 30 resolution on official model evaluations.

This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".

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.
Volume
$136,324
Tanggal Berakhir
Jun 30, 2026
Pasar Dibuka
Feb 6, 2026, 6:03 PM ET

Resolver

0x65070BE91...
This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No". 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.

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Pertanyaan yang Sering Diajukan

"Google Gemini score on FrontierMath Benchmark by June 30?" adalah pasar prediksi di Polymarket dengan 4 hasil yang mungkin di mana trader membeli dan menjual saham berdasarkan apa yang mereka yakini akan terjadi. Hasil terdepan saat ini adalah "40%+" di 86%, diikuti oleh "45%+" di 64%. Harga mencerminkan probabilitas crowd-sourced real-time. Misalnya, saham yang dihargai 86¢ menyiratkan bahwa pasar secara kolektif memberikan peluang 86% pada hasil tersebut. Peluang ini bergeser terus-menerus saat trader bereaksi terhadap perkembangan dan informasi baru. Saham dengan hasil yang benar bisa ditukarkan seharga $1 setiap saham saat pasar diselesaikan.

Per hari ini, "Google Gemini score on FrontierMath Benchmark by June 30?" telah menghasilkan $136.3K dalam total volume trading sejak pasar diluncurkan pada Feb 6, 2026. Tingkat aktivitas trading ini mencerminkan keterlibatan kuat dari komunitas Polymarket dan membantu memastikan bahwa peluang saat ini diinformasikan oleh kumpulan besar peserta pasar. Kamu bisa melacak pergerakan harga langsung dan trading di hasil apa pun langsung di halaman ini.

Untuk trading di "Google Gemini score on FrontierMath Benchmark by June 30?," jelajahi 4 hasil yang tersedia di halaman ini. Setiap hasil menampilkan harga saat ini yang mewakili probabilitas tersirat pasar. Untuk mengambil posisi, pilih hasil yang menurutmu paling mungkin, pilih "Ya" untuk mendukungnya atau "Tidak" untuk menentangnya, masukkan jumlahmu, dan klik "Trade." Jika hasil pilihanmu benar saat pasar diselesaikan, saham "Ya" kamu membayar $1 masing-masing. Jika salah, mereka membayar $0. Kamu juga bisa menjual sahammu kapan saja sebelum resolusi jika kamu ingin mengamankan keuntungan atau memotong kerugian.

Unggulan saat ini untuk "Google Gemini score on FrontierMath Benchmark by June 30?" adalah "40%+" di 86%, yang berarti pasar memberikan peluang 86% pada hasil tersebut. Hasil terdekat berikutnya adalah "45%+" di 64%. Peluang ini diperbarui secara real-time saat trader membeli dan menjual saham, sehingga mencerminkan pandangan kolektif terbaru tentang apa yang paling mungkin terjadi. Cek kembali secara rutin atau tandai halaman ini untuk mengikuti bagaimana peluang bergeser saat informasi baru muncul.

Aturan resolusi untuk "Google Gemini score on FrontierMath Benchmark by June 30?" mendefinisikan dengan tepat apa yang harus terjadi agar setiap hasil dinyatakan sebagai pemenang — termasuk sumber data resmi yang digunakan untuk menentukan hasilnya. Kamu bisa meninjau kriteria resolusi lengkap di bagian "Aturan" di halaman ini di atas komentar. Kami menyarankan membaca aturan dengan cermat sebelum trading, karena mereka menentukan kondisi tepat, kasus khusus, dan sumber yang mengatur bagaimana pasar ini diselesaikan.