Selected book midpoint
20%+ · —
Loading selected book…
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Stored reference
20%+ 88%Leader of 4 outcomes
20%+ 88%Market quality
62 / 100
Medium quality24h Volume
$10.9K
Liquidity
$3K
Medium liquidityOpen interest
$3.4K
Bid / Ask
— / —
20%+Spread
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Comments
0
Market data
Updated 12 minutes ago
Oct 24, 26, 3:35 AM UTCJul 1, 27, 3:59 AM UTC
Chart and changes show stored historical probabilities, not the selected live book.
Trends
Selected row: book midpoint. Other rows: stored references, possibly normalized; 24h changes use stored history.
Venue terms
Source: Polymarket
Informational venue terms only; CoinRithm paper trading uses its own rules.
- Minimum order (shares):
- 5
- Tick size:
- 1 percentage points
- Fees:
- No
Top holders
Loading top holders
Market depth · 20%+
Loading selected book…
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Related Markets
Related questions for context, not a comparison of equivalent contracts.
Rules
This market will resolve to "Yes" if the next Moonshot AI Kimi K3.1 Pro model added to the Humanity's Last Exam results at https://agi.safe.ai/ has an HLE-Diamond Accuracy of at least the specified percentage at 12:00 PM ET on the calendar date following the date on which it first appears on the site.
- Otherwise, this market will resolve to "No".
- A qualifying model must be Moonshot AI's Kimi K3.1 Pro (released October 23, 2026), including its Highspeed variant, listed under a name or model identifier that includes "Kimi" and "K3.1", regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, or reasoning or effort labels.
- For example, Kimi K3.1 Pro, Kimi K3.1 Pro Highspeed, or kimi-k3.1-pro, including with a label such as "(Max)" or "(High)", would qualify, while other models, such as Kimi K3 (Max), Kimi K2.8 Preview, or any later Kimi version, will not qualify.
- The percentage displayed as "HLE-Diamond Accuracy" for the model in its result card on the "AI Progress on HLE-Diamond" chart at https://agi.safe.ai/ will be used to resolve this market.
- This market will resolve solely based on the HLE-Diamond Accuracy, regardless of the model's Calibration Error, chart position, other configuration scores, any note that a score was computed on a sample of questions, or any underlying granular or unrounded data presented elsewhere.