Which company has the best AI model on LiveBench (Coding) end of October?

$616 Объём
31/10/2026 23:59
market.mkt_cta_label
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Anthropic
$4,2 тыс. Объём
70%
OpenAI
$600 Объём
27%
Mistral
$165 Объём
2%
Z.ai
$210 Объём
3%
Google
$138 Объём
3%
DeepSeek
$113 Объём
1%
SpaceXAI
$155 Объём
1%
Meta
$161 Объём
2%
Baidu
$144 Объём
1%
Xiaomi
$182 Объём
1%
Amazon
$174 Объём
1%
Nvidia
$179 Объём
1%
Thinky
$179 Объём
1%
MiniMax
$164 Объём
1%
Meituan
$113 Объём
1%
Alibaba
$133 Объём
1%
Moonshot
$153 Объём
1%
ByteDance
$133 Объём
1%
Tencent
$135 Объём
1%
StepFun
$138 Объём
1%
Microsoft
$207 Объём
1%
Company A
50%
Company B
50%
Company C
50%
Company D
50%
Company E
50%
Company F
50%
Company G
50%
Company H
50%
Company I
50%
Company K
50%
Other
50%

Odds & FAQ

What are the current odds for Which company has the best AI model on LiveBench (Coding) end of October?
The current front-runner is Anthropic at 70%, ahead of Company A at 50%. These live odds update with every trade on the Polymarket order book.
What do traders predict for Which company has the best AI model on LiveBench (Coding) end of October?
Traders currently imply a 70% chance for Anthropic. Market-implied probabilities reflect real money at stake, but they are live forecasts that shift as new information arrives, not guarantees.
When does the Which company has the best AI model on LiveBench (Coding) end of October market resolve?
This market is scheduled to resolve on 31 Oct 2026 (Осталось 68 дней). It settles according to Polymarket's published resolution criteria once the outcome is confirmed.
How much money is trading on Which company has the best AI model on LiveBench (Coding) end of October?
Total traded volume on this market is $616, a measure of how much real money traders have committed to the outcome.
How can I trade Which company has the best AI model on LiveBench (Coding) end of October on Polymarket?
You can follow the live odds on this page and open the market on Polymarket to trade it yourself. Prediction trading carries risk; never stake more than you can afford to lose.

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