Next Gemini Flash Model (3.8+) released on...?
A standalone Polymarket other event with 15 markets and $55.6K in lifetime traded volume. All markets have resolved, each with its winning outcome stored. Marketlens records every market's order book at full depth, coverage running since September 2, 2026.
Data as of 2026-09-04
Top 5 of 15 markets
Will the next Google Gemini Flash model be released on September 4, 2026?
closed 2026-09-02 · volume $12.5K · resolved No
Will the next Google Gemini Flash model be released on September 2, 2026?
closed 2026-09-02 · volume $24.3K · resolved Yes
Will the next Google Gemini Flash model be released on September 3, 2026?
closed 2026-09-02 · volume $7.9K · resolved No
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Next Gemini Flash Model (3.8+) released on...", take=1)
for market in client.events.markets(event.id, take=5):
print(market.question, market.outcomes[0].last_price)
# the order book behind any market, at any past moment
book = client.orderbook.get(market.id, at="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Next Gemini Flash Model (3.8+) released on..."?
15 markets with full depth L2 order book history recorded since September 2, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Next Gemini Flash Model (3.8+) released on..." traded on Polymarket?
$55.6K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Next Gemini Flash Model (3.8+) released on..." data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Next Gemini Flash Model (3.8+) released on...", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.
Related events: Iran full airspace closure by...?, Will GameStop acquire eBay?, Anthropic IPO by __?, or the full event list.
Try it
Pull this event's books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens