DeepSeek's preview release of its V4 model series—featuring V4-Pro (1.6T MoE parameters, 49B active) and V4-Flash (284B MoE, 13B active)—today marks a pivotal advancement, with both supporting 1M-token context and "thinking" modes for enhanced reasoning. The models have rapidly debuted on the Arena.ai leaderboard, where V4-Pro (thinking) ranks #2 among open models and #14 overall in Text Arena, matching Kimi-2.6 while surging past prior DeepSeek V3.2 entries; V4-Pro also hits #3 open in Code Arena. This positions DeepSeek strongly amid intensifying Chinese open-source competition from GLM-5.1 and Kimi-K2.6, closing gaps to proprietary frontiers like GPT-5.4 and Gemini-3.1-Pro in math, coding, and agentic tasks. Traders eye ELO stabilization via ongoing blind battles, with full V4 rollout and benchmark verifications as key near-term catalysts.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоNext DeepSeek Model: Arena Debut?
Next DeepSeek Model: Arena Debut?
$61,170 Обс.
1460+
No
1480+
No
1500+
No
$61,170 Обс.
1460+
No
1480+
No
1500+
No
Results from the "Score" column under the "Text Arena | Overall" Leaderboard tab at https://lmarena.ai/leaderboard/text with style control off will be used to resolve this market.
If no qualifying score for the specified model is available on the Arena.AI Leaderboard at 12:00 PM ET following the date of the release, this market will resolve based on the first subsequent instance at which such a score becomes available on the leaderboard. If no qualifying score becomes available by the end of the seventh day following the day of the model’s release, or if no qualifying model release occurs by June 30, 2026, 11:59 PM ET, this market will resolve to "No".
If multiple variants of the specified model appear on the Arena.AI Leaderboard at the relevant check time (e.g., base, “Thinking,” or “Instant”), the highest-scoring variant will be used for resolution.
A qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be either clearly defined and publicly announced as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company’s official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at arena.ai/leaderboard/text. If this resolution source is unavailable at 12:00 PM ET following the date of the release, this market will resolve based on the first subsequent instance at which such a score becomes available on the leaderboard. If it remains unavailable through the end of the seventh day after a qualifying release, it will resolve to "No".
Ринок відкрито: Apr 23, 2026, 6:14 PM ET
Resolver
0x65070BE91...Результат запропоновано: No
Без оскарження
Кінцевий результат: No
Results from the "Score" column under the "Text Arena | Overall" Leaderboard tab at https://lmarena.ai/leaderboard/text with style control off will be used to resolve this market.
If no qualifying score for the specified model is available on the Arena.AI Leaderboard at 12:00 PM ET following the date of the release, this market will resolve based on the first subsequent instance at which such a score becomes available on the leaderboard. If no qualifying score becomes available by the end of the seventh day following the day of the model’s release, or if no qualifying model release occurs by June 30, 2026, 11:59 PM ET, this market will resolve to "No".
If multiple variants of the specified model appear on the Arena.AI Leaderboard at the relevant check time (e.g., base, “Thinking,” or “Instant”), the highest-scoring variant will be used for resolution.
A qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be either clearly defined and publicly announced as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company’s official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at arena.ai/leaderboard/text. If this resolution source is unavailable at 12:00 PM ET following the date of the release, this market will resolve based on the first subsequent instance at which such a score becomes available on the leaderboard. If it remains unavailable through the end of the seventh day after a qualifying release, it will resolve to "No".
Resolver
0x65070BE91...Результат запропоновано: No
Без оскарження
Кінцевий результат: No
DeepSeek's preview release of its V4 model series—featuring V4-Pro (1.6T MoE parameters, 49B active) and V4-Flash (284B MoE, 13B active)—today marks a pivotal advancement, with both supporting 1M-token context and "thinking" modes for enhanced reasoning. The models have rapidly debuted on the Arena.ai leaderboard, where V4-Pro (thinking) ranks #2 among open models and #14 overall in Text Arena, matching Kimi-2.6 while surging past prior DeepSeek V3.2 entries; V4-Pro also hits #3 open in Code Arena. This positions DeepSeek strongly amid intensifying Chinese open-source competition from GLM-5.1 and Kimi-K2.6, closing gaps to proprietary frontiers like GPT-5.4 and Gemini-3.1-Pro in math, coding, and agentic tasks. Traders eye ELO stabilization via ongoing blind battles, with full V4 rollout and benchmark verifications as key near-term catalysts.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · Оновлено
Обережно з зовнішніми посиланнями.
Обережно з зовнішніми посиланнями.
Часті запитання