TOTAL VOLUME:

$116.8b

24H VOL:

$105,438,864

24H TRANSACTIONS:

1,362,287,844

OPEN INTEREST:

$1,170,041,743

338,680

Markets across

33,274

events

MATCHED EVENTS:

4,215

PLATFORM COVERAGE:

5

Polymarket:

42%

VS.

Kalshi:

58%

Will Output Token Price (Paid Tier) of Google Gemini 3.5 Flash be at or below $8/MTok in 2026?

10%chance
Amount

$

You will be redirected to the platform to complete this trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
MUI X License key version mismatch
Total markets: 4

Description

Google may reduce the pricing of its Gemini 3.5 Flash API output tokens on its paid tier at various price points throughout 2026. This reflects potential cost competition and efficiency improvements in the AI API market.

Kalshi

Resolution is determined by the standard listed Output Token Price (Paid Tier) for Google Gemini 3.5 Flash displayed on the API pricing page at https://ai.google.dev/gemini-api/docs/pricing#standard during 2026. The price must be explicitly shown on the API pricing section; if the product is renamed or succeeded, the closest equivalent product controls. Only standard listed prices apply—promotional, temporary, or volume-discount pricing is excluded. If the page is unavailable at expiration, the last available published price is used. If no price data exists by expiration, all strikes resolve to No. Prices are measured in USD per million tokens.

Frequently asked questions

This dashboard tracks real-time prediction market odds on Kalshi for whether Google Gemini 3.5 Flash's output token price on the paid tier will fall to 10.0% or lower during 2026. It displays the current implied probability, historical price movements, and 24-hour trading volume of $28 across all outcomes. The dashboard updates continuously as traders adjust their positions, providing a live snapshot of market sentiment on AI model pricing trends and competitive pressure in the generative AI sector.

Prediction market odds on Kalshi reflect real-money trader conviction and aggregate dispersed information about Google's pricing strategy and competitive dynamics. Analyst forecasts, by contrast, typically rely on published research reports and model-based projections of AI infrastructure costs. Markets often diverge from analyst consensus when new product announcements, competitive moves, or cost-reduction breakthroughs emerge. Comparing Kalshi odds to major analyst reports on AI pricing can reveal whether traders are pricing in more aggressive price compression than traditional research suggests.

On Kalshi, this event is priced as a binary contract: Will Output Token Price (Paid Tier) of Google Gemini 3.5 Flash be at or below $7/MTok in 2026? On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The contract trades at an implied probability reflecting trader expectations about whether Google will reduce Gemini 3.5 Flash pricing to that threshold or lower by year-end 2026. Kalshi's order-book model allows traders to buy or sell shares at any price between 0 and 100 cents, with payouts determined by the binary outcome at resolution.

The market resolves on Jan 1, 2027. Resolution hinges on the official published price of Google Gemini 3.5 Flash output tokens on the paid tier as of that date. The outcome is binary: if the price is at or below the specified threshold, the affirmative resolves to 100; otherwise it resolves to 0. Traders should monitor Google's official pricing pages and API documentation as the resolution date approaches to track any announced changes to token costs.

Key catalysts include Google's quarterly earnings calls and AI product announcements, which often signal pricing strategy shifts. Competitive price cuts from OpenAI, Anthropic, or other providers can pressure Google to lower rates. Advances in model efficiency or infrastructure optimization may enable lower pricing. Regulatory developments affecting AI services, shifts in enterprise demand, or changes in Google's monetization priorities could all influence token costs. Additionally, new Gemini model releases or tier restructuring could alter the pricing landscape for 3.5 Flash specifically.