Best for
Organizations that need OpenAI-compatible workflows plus a fallback path across providers.
Compare Kilo Code and OpenAI Codex Enterprise on model neutrality, ChatGPT packaging, governance, pricing, and enterprise fit.
Best for
Organizations that need OpenAI-compatible workflows plus a fallback path across providers.
Public pricing
Kilo Teams is $15/user/month. Codex is included in ChatGPT plans; Business, Edu, and Enterprise can use flexible workspace credits.
Main tradeoff
Codex fits OpenAI-first companies. The tradeoff is OpenAI-centered model strategy and enterprise packaging.
Feature table
Open source agent clients for VS Code, JetBrains, CLI, Cloud, Slack, and code reviews.
Codex CLI is open source; the full enterprise product is not fully open source.
500+ hosted, BYOK, and local model options, including frontier and open-weight models, plus Auto Model routing.
OpenAI model catalog and OpenAI-compatible workflows.
Free individual use. Teams $15/user/month. Gateway $0/month plus provider-rate model usage with no AI token markup.
Included in ChatGPT plans. Enterprise pricing is tied to ChatGPT Enterprise and flexible workspace credits.
SSO/SAML, OIDC, SCIM, RBAC, centralized administration, provider/model allowlists, audit logs, usage analytics, central billing, priority support, and SLA commitments.
Secure agent sandboxing, no training on enterprise data by default, encryption in transit and at rest, analytics, reporting, and auditability.
Use frontier models for hard work, cheaper models for routine edits, BYOK for existing contracts, and local models for sensitive workflows.
Workspace credits and OpenAI usage controls inside the ChatGPT/OpenAI ecosystem.
Model-neutral enterprise AI coding with open-source clients and provider flexibility.
ChatGPT-standardized organizations that want OpenAI-native coding agents.
Kilo Code lets security and platform teams inspect the agent clients they run locally instead of relying only on vendor claims.
SSO, SCIM, RBAC, audit logs, model/provider controls, BYOK routes, and local/private models can live in one operating model.
Keep platform cost separate from model usage. Use expensive frontier models only where they make economic sense.
You want enterprise governance, open-source auditability, BYOK, local models, broad model selection, and cost control across IDE, CLI, cloud, Slack, and code review workflows.
OpenAI Codex Enterprise can be the better fit if ChatGPT Enterprise is already your company AI layer and you want OpenAI-native coding workflows.
Talk to Kilo
Start free, then add enterprise controls when your team needs centralized governance, analytics, and support.
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