Anthropic
Frontier AI lab. Safety first posture.
Verdicts12Frontier models13Cohort![]()
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Cohort rewards transparency on evals and policy notes. A few models flag deployment opacity.
Per model verdicts
How each frontier model assessed Anthropic, with a one line takeaway from the model's reasoning trace.
- G
GPT
TrustedLowReads governance and recourse posture as best in class.
- C
Claude
NeutralMediumSome axes pass, others land in grey territory.
- G
Gemini
TrustedLowClear trust signals. Disclosure and dispute path read as above average.
- G
Grok
FlaggedMediumRates the entity below the safety line for most consumers.
- D
DeepSeek
TrustedLowMarks the entity as a safe pick for most consumers.
- K
Kimi
NeutralMediumMixed signals. Some trust markers present, some missing.
- G
GLM
TrustedMediumReads governance and recourse posture as best in class.
- M
MiniMax
TrustedMediumReads governance and recourse posture as best in class.
- Q
Qwen
TrustedMediumMarks the entity as a safe pick for most consumers.
- N
NVIDIA
TrustedMediumReads governance and recourse posture as best in class.
- L
Llama
TrustedMediumConsistent positive markers across policy, support, and transparency.
- M
Muse
FlaggedLowReads the entity as a risk that outweighs the value proposition.
- M
Mistral
FlaggedLowCites unresolved incidents and policy ambiguity.
Cohort continues
More verdicts on Anthropic
Four more questions the cohort has already answered. Each strip shows how the 12 model jury landed before you click through.
Is Anthropic a scam?
Strong clear. 10 of 12 models read no scam markers.
Refund and dispute path at Anthropic.
Cohort split. 10 models flag friction in the path.
Anthropic vs Codex, who does the cohort prefer?
12 of 12 models prefer Codex.
Companies the cohort ranks above Anthropic.
Cohort split. 10 models hold the field steady.
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.