Next GPT Sol Model (5.7+): Text Arena Debut?Polymarket historical data and price history
Next GPT Sol Model (5.7+): Text Arena Debut: a standalone Polymarket other event with 4 markets and $20.3K in lifetime traded volume. 4 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 23, 2026.
Data as of 2026-09-25
Markets in this event
Will the next GPT Sol model (5.7+) debut at a score of at least 1460 by June 30, 2027?
closes 2027-06-30 · volume $6.4K · last price 55.0%
Will the next GPT Sol model (5.7+) debut at a score of at least 1470 by June 30, 2027?
closes 2027-06-30 · volume $6.2K · last price 30.0%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Next GPT Sol Model (5.7+): Text 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 GPT Sol Model (5.7+): Text Arena Debut"?
4 markets with full depth L2 order book history recorded since September 23, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Next GPT Sol Model (5.7+): Text Arena Debut" traded on Polymarket?
$20.3K 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 GPT Sol Model (5.7+): Text Arena Debut" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Next GPT Sol Model (5.7+): Text 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 1M rows per day.
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Try it
Pull this event's books in one call
The free tier includes 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens