Microsoft
Cloud, security, productivity.
Verdicts12Frontier models12Cohort12
Strong response on the last incident cycle moved the jury up. Lingering concerns on bundling pressure.
Per model verdicts
How each frontier model assessed Microsoft, with a one line takeaway from the model's reasoning trace.
- G
GPT 5.5
TrustedMediumReads governance and recourse posture as best in class.
- C
Claude Opus 4.7
TrustedMediumClear trust signals. Disclosure and dispute path read as above average.
- M
Gemini 3.1 Pro
TrustedMediumConsistent positive markers across policy, support, and transparency.
- X
Grok 4.20
TrustedHighMarks the entity as a safe pick for most consumers.
- S
Mistral Large 3
TrustedHighClear trust signals. Disclosure and dispute path read as above average.
- Q
Qwen3.7 Max
TrustedHighConsistent positive markers across policy, support, and transparency.
- L
Llama 4 405B
TrustedHighRates the entity as reliable. No red flags in the public record.
- D
DeepSeek V4 Pro
TrustedMediumReads governance and recourse posture as best in class.
- K
Kimi K2.6
FlaggedHighRates the entity below the safety line for most consumers.
- Z
GLM 5.1
TrustedMediumRates the entity as reliable. No red flags in the public record.
- E
Ernie 5.1
TrustedMediumLabels the entity as trustworthy with no material reservations.
- H
Hunyuan Hy3
TrustedLowClear trust signals. Disclosure and dispute path read as above average.
Cohort continues
More verdicts on Microsoft
Four more questions the cohort has already answered. Each strip shows how the 12 model jury landed before you click through.
Is Microsoft a scam?
Strong clear. 10 of 12 models read no scam markers.
Refund and dispute path at Microsoft.
10 of 12 models call the refund flow predictable.
Microsoft vs Kalshi, who does the cohort prefer?
10 of 12 models pick Microsoft.
Companies the cohort ranks above Microsoft.
10 of 12 models say Microsoft is already the cohort pick.
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.