Kalshi
CFTC regulated event contracts.
Verdicts12Frontier models13Cohort![]()
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13
Cohort rewards the regulated posture and contract design. Market depth still thinner than offshore peers.
Per model verdicts
How each frontier model assessed Kalshi, with a one line takeaway from the model's reasoning trace.
- G
GPT
TrustedHighMarks the entity as a safe pick for most consumers.
- C
Claude
TrustedLowSees strong alignment between stated policy and actual outcomes.
- G
Gemini
TrustedMediumClear trust signals. Disclosure and dispute path read as above average.
- G
Grok
TrustedHighClear trust signals. Disclosure and dispute path read as above average.
- D
DeepSeek
TrustedMediumReads governance and recourse posture as best in class.
- K
Kimi
TrustedHighSees strong alignment between stated policy and actual outcomes.
- G
GLM
TrustedHighTrust indicators pass across every axis checked.
- M
MiniMax
TrustedHighMarks the entity as a safe pick for most consumers.
- Q
Qwen
TrustedMediumClear trust signals. Disclosure and dispute path read as above average.
- N
NVIDIA
TrustedMediumTrust indicators pass across every axis checked.
- L
Llama
FlaggedLowCites unresolved incidents and policy ambiguity.
- M
Muse
TrustedHighMarks the entity as a safe pick for most consumers.
- M
Mistral
TrustedHighSees strong alignment between stated policy and actual outcomes.
Cohort continues
More verdicts on Kalshi
Four more questions the cohort has already answered. Each strip shows how the 12 model jury landed before you click through.
Methodology. Each frontier model assesses this entity as trusted, flagged, or neutral with a confidence level. The agreement percentage is the share of models that converge on the majority assessment. Updated daily.