Which company has best AI model end of July?

Platform comparison

Active sub-markets

Market context

The real-world event determining this market is which company will hold the top spot on the Chatbot Arena LLM Leaderboard when the table is checked at 12:00 PM ET on 31 July 2026. Current crowd-implied probability sits at 11% for the "YES" outcome, suggesting traders view the lead as precarious despite Anthropic’s recent dominance. Historically, leaderboard positions have shifted rapidly; in April 2026, Claude Opus 4.6 became the first model to secure #1 across text, code, and search arenas simultaneously, yet gaps between competitors like GPT-5.2 and Gemini 3.1 Pro remain narrow in specific categories [2]. Such volatility frames the low probability, as a single benchmark update or new release could overturn the current hierarchy before the settlement window closes.

Traders must monitor upcoming model releases and arena score fluctuations, particularly Anthropic’s May 2026 launch of Claude Opus 4.8, which topped the Artificial Analysis Intelligence Index with standout gains in coding and computer-use agents [1]. Any delay in OpenAI’s next iteration or a surge in Grok’s search performance could alter the ranking dynamics significantly. Platform comparisons reveal key divergences: Polymarket offers decimal odds without KYC, whereas Kalshi requires identity verification and uses implied probability, while Betfair and Smarkets impose higher fee structures for similar exposure. These structural differences affect liquidity and pricing efficiency on this specific market, making the choice of book critical for accurate risk assessment.

The settlement relies strictly on the ranked list under the "Leaderboard" tab, ordered by arena score if ranks tie, meaning marginal score differences will decide the winner. Recent data shows Anthropic holding the top four spots in the Code Arena, with GPT-5.2 trailing by nearly 90 points, yet the Text Arena shows Opus 4.6 and Opus 4.6 Thinking sharing the top with scores of 1503, just three points ahead of Gemini [2]. This tight margin underscores why the 11% probability reflects genuine uncertainty rather than a dismissed possibility, as the leaderboard remains fluid until the final check date.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page compares Which company has best AI model end of July? specifically across Polymarket, Kalshi, Betfair Exchange and Smarkets. Live odds come from the Polymarket order book; the other venues' contract details are maintained manually because their APIs aren't directly comparable. Every CTA routes to PolyGram, which mirrors the Polymarket order book at 0% fees.

Resolution & payout

Polymarket settles via UMA Optimistic Oracle on Polygon. A proposer posts the outcome with a bond, the two-hour window runs, then the smart contract pays USDC.

Kalshi settles USD through the CFTC-regulated clearinghouse — the cleanest variant, with heavier KYC. Betfair Exchange settles in account currency (GBP/EUR), net of 2-5% commission. Smarkets follows the same model as Betfair with a lower default 2% commission.

FAQ

Is this market available outside the US?

PolyGram is available in most jurisdictions where Polymarket isn't directly accessible. Polymarket itself is geo-blocked in the US/UK/EU. Always check local regulations.

How does resolution work?

Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.

What's the difference between YES and NO shares?

A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.

Do I need to KYC for this market?

Not under $1,500 of lifetime trading volume. Above that threshold, PolyGram triggers a quick verification flow that finishes in minutes.

How reliable are the quoted odds?

The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.