SimpleFunctions

Meituan · Which company has the best Math AI model end of May

Meituan is priced at 0¢ midpoint on Polymarket. Current book: 0¢ bid, 0¢ ask, 0¢ spread. This outcome ranks #5 of 15 inside Which company has the best Math AI model end of May?.

Price history

0¢ current

0¢
May 27, 2026May 27, 2026

Contract brief

This market will resolve according to the company that owns the model that has the highest arena rank based on the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) when the table under the "Leaderboard" tab for "Math" is checked on May 31, 2026, 12:00 PM ET. Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off will be used to resolve this market. Models will be ordered primarily by their leaderboard rank at the market’s check time. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. 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 arena score, “Google” would be ranked ahead of “xAI”). This market will resolve based on the company that occupies first place under this ranking. The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. 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 it becomes permanently unavailable, this market will resolve based on another resolution source.

Outcome

Meituan

Rank

#5 of 15

Leader

Google 79¢

Range

0¢-79¢

Family volume

$266K

Identifier

0xa5d9e160...5b33

May 27, 2026, 10:16 AM UTC · 0m ago

Implied probability

0¢
Bid/ask midpoint
May 27, 2026, 10:16 AM UTC · 0m ago

Bid

Ask

Spread

Reported volume

$3K

Family rank

#5 of 15

15 outcomes · Which company has the best Math AI model end of May?

Closes

May 31, 2026

Family volume

$266K

Orderbook snapshot

0 / 0¢

Polymarket
0¢ spread
BidSize
AskSize
0¢2.0K
2¢30
3¢30
56¢318
56¢625
64¢600
100¢306
100¢100

Contract terms

What resolves this market.

YES condition

This market will resolve according to the company that owns the model that has the highest arena rank based on the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) when the table under the "Leaderboard" tab for "Math" is checked on May 31, 2026, 12:00 PM ET. Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off will be used to resolve this market. Models will be ordered primarily by their leaderboard rank at the market’s check time. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. 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 arena score, “Google” would be ranked ahead of “xAI”). This market will resolve based on the company that occupies first place under this ranking. The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. 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 it becomes permanently unavailable, this market will resolve based on another resolution source.

Venue

Polymarket

Closes

May 31, 2026

Identifier

0xa5d9e160…5b33

SF Signal
Regime
neutral

Event family

Which company has the best Math AI model end of May.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$266K

Outcomes

15

Highest price

Google 79¢

Current share

1%

OutcomePriceVolume24hDepth

Google

polymarket · 0xb45bcc8c4580c1c015f6e17c5bd13e2fa31c27920cafe3ddbf59b4b5fbd526f2

79¢
$46K$4K

Anthropic

polymarket · 0xf5eed5d402c85807bede0e4b9169173e48c5ba42879da524cc03ad35092c7995

21¢
$48K$6360.1

OpenAI

polymarket · 0xb833e3aba09dc39808c66bbac2ddea4345d0d44b6d9595f35b549f51aaf40a5d

1¢
$38K$1K

Alibaba

polymarket · 0xfcd7d9e6a602041813f2f56c467f174959d0068c22f6147e122a941ad30fdbc6

1¢
$21K$470

Baidu

polymarket · 0xc3e00fab310b79b397823f987eb4ab0496c25cbcbbc3b5e4ec66eb3a1d24a8b9

0¢
$17K$0

Moonshot

polymarket · 0xb08cb465b8edd44c08c5c66193a4b37366d9a5c5eb27188a5cb4c8a6082769b0

0¢
$15K$0

xAI

polymarket · 0x195640b227530d45ec159b0645310bcbd4659f8c23009ec7ecd23fdb434aa44b

0¢
$15K$0

Z.ai

polymarket · 0xa40e927b4adb3ad4c73c02b4f164658ebd3d57be14d57dcc2fd468811dbf09db

0¢
$14K$12

DeepSeek

polymarket · 0xf0a628bb898828c183e1e378075457c8ed2563b3b50803851cfe947318820df5

0¢
$12K$28

ByteDance

polymarket · 0x0b278cab227996b9b3275551a858e85c648e5d9a0ddc767a5af2688ca58857f7

0¢
$12K$0

Meta

polymarket · 0xa7a944727c0d1a45e6b3b8afd7b39e9ac1f8e6d9ac453903cf9e0622b3be29a3

0¢
$12K$0

Mistral

polymarket · 0xffaad2035d665d2e9682dc1452a6f48bc580b6f7c34de27286329a5fe5d5795e

0¢
$9K$0

Amazon

polymarket · 0x54b0a235bcce3a030828a9d9133fef93143347f8a0e4316bc343342b1138a5ae

0¢
$3K$0

Meituan

polymarket · 0xa5d9e160d91440a62fdbb5d3009de19d1f5ead4c7a13e48e949b4585ad0b5b33

0¢
$3K$0

Microsoft

polymarket · 0x465bf31114d5b992cafbc0b7b5f2dab6aefba9d214d1cf945ddee5f17b0d582f

0¢
$2K$0

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Blogmarkets

Kalshi vs Polymarket: Which Prediction Market Should You Trade?

In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.

Opinioncomparison

Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)

Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.

Conceptmethodology

Liquidity Migration Across Resolution: Where the Money Goes When a Market Closes

When a flagship prediction market closes, the capital that was in it migrates to next-period siblings, adjacent categories, or off the venue entirely. Three migration patterns and the receiving-market opportunity.

Conceptmethodology

Resolution Risk Premium: Pricing the Rule, Not the Outcome

When the resolution rule is fuzzy, the price is the market's estimate of how the rule will be interpreted, not the outcome's probability. Three case studies and the discount math.

Conceptmethodology

Cross-Venue Convergence Dynamics: Why Kalshi and Polymarket Converge — and When They Don't

Why the same outcome on Kalshi and Polymarket usually trades within 2-5 cents — and the three specific things that cause the gap to widen. Diagnostic guide and worked convergence trade.

Conceptmethodology

Resolution Ambiguity Score: Quantifying Rule-Risk Per Market

A heuristic 0-10 score for the rule risk on a prediction market, based on edge case count, venue dispute history, and source-of-truth specificity. The pre-trade discipline that catches Polymarket UMA disputes and Kalshi rule-mismatches before they catch you.

SimpleFunctions context

Index, screen, query, and monitor.

Open index

How we compute these odds

SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.

For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.

Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.