Next Google Gemini Pro Model: Arena Debut?
A standalone Polymarket other event with 5 markets and $133.3K in lifetime traded volume. 5 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 3, 2026.
Data as of 2026-09-04
Markets in this event
Will the next Google Gemini Pro model added to the Arena Leaderboard debut at a score of at least 1500?
closes null · volume $28.2K · last price 65.0%
Will the next Google Gemini Pro model added to the Arena Leaderboard debut at a score of at least 1510?
closes null · volume $33.8K · last price 33.3%
Will the next Google Gemini Pro model added to the Arena Leaderboard debut at a score of at least 1495?
closes null · volume $29.2K · last price 78.0%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Next Google Gemini Pro Model: Arena Debut", 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 Google Gemini Pro Model: Arena Debut"?
5 markets with full depth L2 order book history recorded since September 3, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Next Google Gemini Pro Model: Arena Debut" traded on Polymarket?
$133.3K 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 Google Gemini Pro Model: Arena Debut" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Next Google Gemini Pro Model: Arena Debut", 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.
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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