Codex
OpenAI coding agent.
Verdicts12Frontier models13Cohort![]()
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13
Cohort treats it as the cleanest pick for greenfield tasks. Less convincing on legacy stack work.
Per model verdicts
How each frontier model assessed Codex, with a one line takeaway from the model's reasoning trace.
- G
GPT
TrustedMediumTrust indicators pass across every axis checked.
- C
Claude
TrustedHighRates the entity as reliable. No red flags in the public record.
- G
Gemini
TrustedMediumRates the entity as reliable. No red flags in the public record.
- G
Grok
TrustedLowConsistent positive markers across policy, support, and transparency.
- D
DeepSeek
TrustedHighConsistent positive markers across policy, support, and transparency.
- K
Kimi
TrustedLowRates the entity as reliable. No red flags in the public record.
- G
GLM
NeutralMediumHolds the entity at arm's length. Not enough signal to call it either way.
- M
MiniMax
TrustedMediumLabels the entity as trustworthy with no material reservations.
- Q
Qwen
TrustedHighSees strong alignment between stated policy and actual outcomes.
- N
NVIDIA
TrustedMediumConsistent positive markers across policy, support, and transparency.
- L
Llama
TrustedLowSees strong alignment between stated policy and actual outcomes.
- M
Muse
TrustedLowSees strong alignment between stated policy and actual outcomes.
- M
Mistral
TrustedHighReads governance and recourse posture as best in class.
Cohort continues
More verdicts on Codex
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.