Market snapshot: Oct 12, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETTech

Next GPT Image Model (2.6+) released by...?

Name: Next GPT Image Model (2.6+) released by...?
End: 2027-01-31T23:59:00.000Z

Total Volume

$36.23

Events

Markets

Trade on Polymarket

Next GPT Image Model (2.6+) released by...?

Vol

$36.23

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $36.23

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $36.23

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Next GPT Image Model (2.6+) released by January 31, 2027?

No data available

Single-Platform Markets(2)

Market	Platform	Price
Next GPT Image Model (2.6+) released by January 31, 2027?	Poly	43%
Next GPT Image Model (2.6+) released by December 31, 2026?	Poly	37%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

43%

Top Probability

$36.23

Volume

Markets

Platforms

About This Event

This market will resolve to "Yes" if OpenAI's next GPT Image model (2.6+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No". A qualifying model must have a name or model identifier that includes "GPT Image" and be designated as version 2.6 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 2.6 or higher named in the s

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

Open in:ChatGPT Claude Gemini Grok DeepSeek

**Role:** Expert Prediction Market Analyst & Trader
**Objective:** Analyze the provided betting market data to deliver actionable insights, identify mispricings, and perform scenario analysis.
**Current Date:** Monday, October 12, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Next GPT Image Model (2.6+) released by...?
**Category:** Tech | **Status:** active
**Resolution Date:** Jan 31, 2027 (112 days left)
**Time Pressure:** Low

**Description:** This market will resolve to "Yes" if OpenAI's next GPT Image model (2.6+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No".

A qualifying model must have a name or model identifier that includes "GPT Image" and be designated as version 2.6 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 2.6 or higher named in the s

**Resolution Criteria (Sample):**
"This market will resolve to "Yes" if OpenAI's next GPT Image model (2.6+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No".

A qualifying model must have a name or model identifier that includes "GPT Image" and b"

## 2. Market liquidity & Volume
* **Total Volume:** $36
* **Total Liquidity:** $225
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.16)

## 3. Market Data (Prices & Odds)
### 1. Next GPT Image Model (2.6+) released by December 31, 2026?
- **Polymarket** (End: Dec 31, 2026): Vol $36
  DATA: [Yes: 36.5% (0.0%)] | [No: 63.5% (0.0%)]

### 2. Next GPT Image Model (2.6+) released by January 31, 2027?
- **Polymarket** (End: Jan 31, 2027): Vol $0
  DATA: [Yes: 42.5% (0.0%)] | [No: 57.5% (0.0%)]

---

## Analysis Instructions
Please provide a structured analysis using the following template:

### 1. Executive Summary
*   **Verdict:** [Most Likely Outcome]
*   **Confidence:** [0-100]%
*   **Timeframe:** [Immediate / Short-term / Long-term]
*   **Actionable Trade:** [Buy YES / Buy NO / Stay Away] (Include entry price target if applicable)
*   **Rationale:** 2-sentence summary of the core thesis.

### 2. Scenario Analysis
*   **Bull Case (Why YES goes up):** List specific catalysts or data points.
*   **Bear Case (Why YES goes down):** List specifics.
*   **Invalidation Point:** What happens to prove your thesis wrong?

### 3. Market Mechanics & Risks
*   **Liquidity/Volume Analysis:** Is the market efficient? Is it easy to exit?
*   **Cross-Platform Arbitrage:** (If applicable) Is the spread tradeable after fees?
*   **Time Decay:** How does time passing affect this position?

### 4. Signal Scores (0-100)
*   **Momentum:** [Score] (Price trend & velocity)
*   **Conviction:** [Score] (Volume backing the move)
*   **Information Edge:** [Score] (Likelihood of non-public info affecting price)
*   **Risk/Reward:** [Score] (Potential upside vs downside)

**Constraints:**
- Be direct and objective.
- Use bullet points for readability.
- If data is conflicting or insufficient, explicitly state "Low Confidence".

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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETTech