Skip to main content

如需在美国交易,请访问 polymarket.us

icon for Will any AI model reach ___ Coding Arena Score by December 31?

Will any AI model reach ___ Coding Arena Score by December 31?

icon for Will any AI model reach ___ Coding Arena Score by December 31?

Will any AI model reach ___ Coding Arena Score by December 31?

$213,543 交易量

2026-12-31
Polymarket

$213,543 交易量

Polymarket

1560

$105,604 交易量

32%

1580

$70,231 交易量

19%

1600

$37,708 交易量

5%

This market will resolve to "Yes" if any model on the Arena.AI Leaderboard (arena.ai/leaderboard/text) reaches at least the specified Arena Score on the "Leaderboard" tab for "Coding" by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No". Results from the "Score" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-no-style-control with style control off will be used to resolve this market. 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 check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If permanently unavailable, this market will resolve to "No".Recent model releases have intensified competition on Code Arena's WebDev leaderboard, a crowdsourced Elo system evaluating agentic coding through blind community votes on real frontend tasks. OpenAI's GPT-6 Astra launched September 3 and quickly claimed the top spot near 1,800 points, narrowly ahead of Anthropic's Claude Fable 5.1-max. Other frontier systems from Anthropic, OpenAI, and labs like Alibaba and DeepSeek continue closing gaps on multi-step reasoning and tool use. Traditional benchmarks such as SWE-bench have largely saturated above 90 percent, shifting trader focus to live arenas that better reflect iterative development. Additional high-parameter releases and capability jumps expected before year-end could push scores higher, though gains depend on sustained progress in long-horizon agent performance.

This market will resolve to "Yes" if any model on the Arena.AI Leaderboard (arena.ai/leaderboard/text) reaches at least the specified Arena Score on the "Leaderboard" tab for "Coding" by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".

Results from the "Score" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-no-style-control with style control off will be used to resolve this market.

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 check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If permanently unavailable, this market will resolve to "No".
This market will resolve to "Yes" if any model on the Arena.AI Leaderboard (arena.ai/leaderboard/text) reaches at least the specified Arena Score on the "Leaderboard" tab for "Coding" by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No". Results from the "Score" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-no-style-control with style control off will be used to resolve this market. 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 check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If permanently unavailable, this market will resolve to "No".
交易量
$213,543
结束日期
2027-01-01
市场开放时间
Apr 2, 2026, 6:09 PM ET
This market will resolve to "Yes" if any model on the Arena.AI Leaderboard (arena.ai/leaderboard/text) reaches at least the specified Arena Score on the "Leaderboard" tab for "Coding" by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No". Results from the "Score" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-no-style-control with style control off will be used to resolve this market. 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 check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If permanently unavailable, this market will resolve to "No".Recent model releases have intensified competition on Code Arena's WebDev leaderboard, a crowdsourced Elo system evaluating agentic coding through blind community votes on real frontend tasks. OpenAI's GPT-6 Astra launched September 3 and quickly claimed the top spot near 1,800 points, narrowly ahead of Anthropic's Claude Fable 5.1-max. Other frontier systems from Anthropic, OpenAI, and labs like Alibaba and DeepSeek continue closing gaps on multi-step reasoning and tool use. Traditional benchmarks such as SWE-bench have largely saturated above 90 percent, shifting trader focus to live arenas that better reflect iterative development. Additional high-parameter releases and capability jumps expected before year-end could push scores higher, though gains depend on sustained progress in long-horizon agent performance.

This market will resolve to "Yes" if any model on the Arena.AI Leaderboard (arena.ai/leaderboard/text) reaches at least the specified Arena Score on the "Leaderboard" tab for "Coding" by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".

Results from the "Score" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-no-style-control with style control off will be used to resolve this market.

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 check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If permanently unavailable, this market will resolve to "No".
This market will resolve to "Yes" if any model on the Arena.AI Leaderboard (arena.ai/leaderboard/text) reaches at least the specified Arena Score on the "Leaderboard" tab for "Coding" by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No". Results from the "Score" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-no-style-control with style control off will be used to resolve this market. 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 check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If permanently unavailable, this market will resolve to "No".
交易量
$213,543
结束日期
2027-01-01
市场开放时间
Apr 2, 2026, 6:09 PM ET

警惕外部链接哦。

常见问题

"Will any AI model reach ___ Coding Arena Score by December 31?"是 Polymarket 上一个拥有 3 个可能结果的预测市场,交易者根据自己的判断买卖份额。当前领先结果为"1560",概率为 32%,其次是"1580",概率为 19%。价格反映社区的实时概率。例如,价格为 32¢ 的份额意味着市场集体认为该结果的概率为 32%。这些赔率会随着交易者的反应而不断变化。正确结果的份额在市场结算时可兑换为每份 $1。

截至目前,"Will any AI model reach ___ Coding Arena Score by December 31?"已产生 $213.5K 的总交易量(自Apr 2, 2026市场上线以来)。这一活跃度反映了 Polymarket 社区的高度参与,并确保当前赔率由广泛的市场参与者共同形成。你可以直接在本页追踪实时价格变动并交易任何结果。

要在"Will any AI model reach ___ Coding Arena Score by December 31?"上交易,浏览本页上列出的 3 个可用结果。每个结果显示一个代表市场隐含概率的当前价格。要建仓,选择你认为最可能的结果,选择"是"支持或"否"反对,输入金额并点击"交易"。如果你选择的结果在市场结算时正确,你的"是"份额每份支付 $1。如果不正确,支付 $0。你也可以在结算前随时卖出份额。

"Will any AI model reach ___ Coding Arena Score by December 31?"的当前领先者是"1560",概率为 32%,意味着市场对该结果的概率评估为 32%。紧随其后的结果是"1580",概率为 19%。这些赔率随着交易者买卖份额而实时更新。请经常回来查看或将本页加入书签。

"Will any AI model reach ___ Coding Arena Score by December 31?"的结算规则明确定义了每个结果被宣布为获胜者所需满足的条件——包括用于确定结果的官方数据来源。你可以在本页评论上方的"规则"部分查看完整的结算标准。我们建议在交易前仔细阅读规则,因为它们规定了精确的条件、特殊情况和数据来源。