Market participants currently imply a 76.0% probability for "Will the next model released by OpenAI debut at a score of at least 1450?".
The YES side is priced at 76.0¢, and the NO side at 21.0¢.
Liquidity is low, supported by $246 in recent trading activity.
Last Updated: 2026-05-17T14:19:12.466Z
Current Market Pricing
YES Price
76.0¢
Bullish probability pricing
NO Price
21.0¢
Bearish probability pricing
Prediction markets currently imply a live probability of approximately 76.0%.
Market Structure
Probability
76.0%
Spread
0.03
Liquidity
Low
Volume (24h)
$246
Markets with tighter spreads and higher liquidity generally indicate stronger trader participation and more efficient price discovery.
Resolution Criteria
This market will resolve to "Yes" if the next model released by OpenAI has at least the specified score on the Arena.AI Leaderboard (arena.ai/leaderboard/text) when the table under the "Leaderboard" tab is checked on the date after the day of the release, 12:00 PM ET. Otherwise, this market will resolve to "No".
Results from the "Score" column under the "Text Arena | Overall" Leaderboard tab at https://lmarena.ai/leaderboard/text with style control off will be used to resolve this market.
If no qualifying score for the specified model is available on the Arena.AI Leaderboard at 12:00 PM ET following the date of the release, this market will resolve based on the first subsequent instance at which such a score becomes available on the leaderboard. If no qualifying score becomes available by the end of the seventh day following the day of the model’s release, or if no qualifying model release occurs by December 31, 2026, 11:59 PM ET, this market will resolve to "No".
If multiple models are released on the same calendar date or if multiple variants of the specified model appear on the Arena.AI Leaderboard at the relevant check time (e.g., base, “Thinking,” or “Instant”), the highest-scoring variant will be used for resolution.
A qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be either clearly defined and publicly announced as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company’s official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.
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 12:00 PM ET following the date of the release, this market will resolve based on the first subsequent instance at which such a score becomes available on the leaderboard. If it remains unavailable through the end of the seventh day after a qualifying release, it will resolve to "No".
Market Interpretation
Prediction markets operate as continuously updating consensus systems where price is not prediction — it is compressed belief under liquidity pressure.
At any moment, pricing reflects aggregated trader positioning across:
Current pricing structure implies:
- YES trades near 76.0¢
- NO trades near 21.0¢
- Implied probability clusters around 76.0%
This is not static forecasting — it is a continuously reweighted probability surface that reacts to incoming information in real time.
Liquidity & Conviction Analysis
As of May 17, 2026 at 10:09 AM, liquidity concentration defines how sharply this market can absorb and reflect new information.
This market currently reflects a moderate-to-structured liquidity regime, where price discovery is active but still sensitive to directional order flow.
Key structural behaviors:
- tighter liquidity → faster repricing cycles
- fragmented liquidity → sharper volatility spikes
- concentrated flow → stronger directional conviction
- thin participation → narrative-driven swings dominate
In practice, liquidity is not just a metric — it is the stability coefficient of the probability surface.
Why This Signal Exists in Prediction Markets
Prediction markets function as real-time belief compression layers where distributed information becomes executable probability.
Each trade represents:
- updated information processing
- position hedging against future states
- narrative reinforcement or rejection
- asymmetric knowledge correction
Unlike polling or forecasting models, these systems continuously self-correct through financial exposure, making them sensitive to:
This produces a live probabilistic system that behaves closer to a market-driven intelligence engine than a static prediction tool.
Market Structure Transition
As of May 17, 2026 at 10:09 AM, prediction markets have evolved into persistent global probability infrastructure operating across geopolitics, elections, macroeconomics, AI systems, central bank policy, trade wars, financial markets, Trump–Xi summit negotiations, tariff diplomacy, sovereign risk, and real-world event forecasting.
Current structural characteristics:
- continuous pricing of world events
- high-frequency narrative absorption
- cross-market correlation formation
- liquidity-driven consensus formation
- rapid repricing of geopolitical risk
Platforms such as Polymarket and Kalshi now function as high-throughput probability engines, with cumulative sector trading volume exceeding $150B+ and sustained monthly flow consistently above $25B throughout major 2026 trading cycles.
By April 2026 alone, combined prediction market activity approached nearly $30B in monthly volume, with Kalshi processing approximately $14.8B and Polymarket generating roughly $10.2B in market activity during the same period.
Market structure has therefore shifted far beyond episodic retail speculation into continuous global liquidity formation, where geopolitical negotiations, tariff regimes, AI competition, elections, sovereign risk, macro narratives, and financial expectations are repriced in real time.
This transition has transformed prediction markets into always-on consensus infrastructure capable of absorbing information flows faster than traditional polling systems, legacy forecasting pipelines, institutional research desks, and many media narratives.
The modern prediction market stack increasingly behaves like a distributed probabilistic intelligence layer for global events rather than a niche speculative product category.
Market Metadata
- Market ID:
will-the-next-model-released-by-openai-debut-at-a-score-of-at-least-1450 - Snapshot Timestamp: May 17, 2026 at 10:09 AM
- Category Class: Implied Probabilisty
- Signal Type: binary outcome probability surface
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