Selected book midpoint
Anthropic · —
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Stored reference
Anthropic 87.8%Leader of 21 outcomesVig-adjusted: raw venue quotes summed above 100% and were normalized.
Anthropic 87.8%Market quality
70 / 100
Medium quality24h Volume
$945.3
Liquidity
$20.8K
Medium liquidityOpen interest
$5K
Bid / Ask
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AnthropicSpread
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Comments
0
7d Change
+6.0 pts
Market data
Updated 10 minutes ago
Aug 13, 26, 12:05 AM UTCOct 31, 26, 4:00 PM UTC
Chart and changes show stored historical probabilities, not the selected live book.
Trends
Selected row: book midpoint. Other rows: stored references, possibly normalized; 24h changes use stored history.
Venue terms
Source: Polymarket
Informational venue terms only; CoinRithm paper trading uses its own rules.
- Minimum order (shares):
- 5
- Tick size:
- 1 percentage points
- Fees:
- Yes
Top holders
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Market depth · Anthropic
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Related Markets
Related questions for context, not a comparison of equivalent contracts.
Which company has the best AI model on LiveBench (Mathematics) end of November?
PolymarketWhich company has the best AI model on LiveBench (Coding) end of October?
PolymarketWhich company has the best AI model on LiveBench (Coding) end of November?
PolymarketWhich company has the best AI model on LiveBench (Overall) end of October?
PolymarketWhich company will have the best AI model at the end of 2026?
FutuurWill the top model on LiveBench be Chinese on Jan 1st, 2028?
Manifold MarketsRules
This market will resolve according to the company which owns the model with the highest Mathematics score on LiveBench.ai when the leaderboard is checked on October 31, 2026, at 12:00 PM ET.
- Results from the “Mathematics” column of the leaderboard at https://livebench.ai/#/?cats=Mathematics, with the latest available LiveBench release selected and the category set to “Mathematics,” will be used to resolve this market.
- Models will be ranked according to the specified score, with higher scores ranked ahead of lower scores.
- If two or more models have exactly the same score as displayed on the leaderboard, the model with the lower listed "cost per successful task" will be ranked ahead.
- If a tie still remains, alphabetical order of company names as listed in this market group will be used as a final tiebreaker (e.g., if the two models are tied by exact score and cost per successful task, “Google” would be ranked ahead of “SpaceXAI”).
- This market will resolve based on the company that occupies first place under this ranking.
