When will the next Google Gemini Pro model be released?Polymarket historical data and price history
When will the next Google Gemini Pro model be released: a standalone Polymarket other event with 6 markets and $213.5K in lifetime traded volume. 6 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 28, 2026.
Data as of 2026-10-05
Top 5 of 6 markets
Will there be no next Google Gemini Pro model release by November 1, 2026?
closes 2026-11-01 · volume $105.2K · last price 80.0%
Will the next Google Gemini Pro model be released between October 19 and October 25, 2026?
closes 2026-10-25 · volume $16.6K · last price 8.7%
Will the next Google Gemini Pro model be released between October 5 and October 11, 2026?
closes 2026-10-11 · volume $16.5K · last price 3.9%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="When will the next Google Gemini Pro model be released", 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=datetime.now(timezone.utc) - timedelta(days=2))
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "When will the next Google Gemini Pro model be released"?
6 markets with full depth L2 order book history recorded since September 28, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "When will the next Google Gemini Pro model be released" traded on Polymarket?
$213.5K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "When will the next Google Gemini Pro model be released" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "When will the next Google Gemini Pro model be released", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work; the free tier reads markets open in the last 7 days and Pro the full archive.
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Try it
Pull this event's books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens