Agentic Index
Cognition vs OpenAI Codex (2026)
Devin is a dedicated autonomous teammate; Codex is the agent layer inside ChatGPT. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Devin goes further on autonomy, with sub agent teams, self scheduling, and a desktop command center for fleets. Codex wins on distribution and price, bundled into ChatGPT plans with cloud sandboxes, CLI, IDE, and Automations covering most delegation needs.
On the Agentic Index coding agent ranking, neither Cognition nor OpenAI Codex clears the bar, which asks for all five merge loop capabilities documented in full. Cognition does not document testing, debugging and optimization in full; OpenAI Codex does not document knowledge grounding and RAG in full, nor testing, debugging and optimization. 2 of the 65 vendors in the lane clear it. See the coding agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Cognition and OpenAI Codex are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Cognition if
- Maximum autonomy: Devin tests its own work with computer use and coordinates sub agents.
- You want a purpose built agent product with its own desktop app and enterprise story.
- Large parallel migrations are the workload, Devin's proven pattern.
Choose OpenAI Codex if
- Your org already pays for ChatGPT, making Codex effectively free to adopt.
- You want the same agent across cloud, terminal, IDE, and phone with shared context.
- Automations cover the routine delegation that would otherwise justify a second product.
| At a glance | Cognition | OpenAI Codex |
|---|---|---|
| Category | Coding agent | Coding agent |
| Entry price | Free · Pro $20/mo · Max $200/mo · Teams $80/mo + $40/seat · Enterprise custom | Included in ChatGPT plans: Free $0 and Go $8 a month (GPT-6 Luna in the desktop app, subject to rollout), Plus $20, Pro from $100 ($100, $200 or $500), Business $20 per user a month billed annually ($25 monthly); Enterprise and Edu through sales; or pay per token with an API key |
| Free / trial | Free tier: light agent quota, limited model availability, unlimited inline edits and Tab completions. | ChatGPT Free includes Codex in the desktop app on GPT-6 Luna at Standard speed, subject to rollout |
| Pricing confidence | public exact | public partial |
| Feature | C Cognition |
O OpenAI Codex |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit
Native integrations cover GitHub, GitLab, Bitbucket, Azure DevOps, Slack, Microsoft Teams, Jira, Linear and PagerDuty, and MCP reaches hundreds of other tools and data sources. |
Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit
Dynamic workflows are Python scripts that orchestrate a team of Devin agents in stages, in parallel on separate VMs, passing structured results between stages. |
Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit
Automations fire on Slack, GitHub, GitLab, Linear, Jira, Pylon, PagerDuty, schedule and webhook events without anyone tagging Devin, and scheduled sessions add recurring work. |
Full / Explicit
Six invocation surfaces, from the desktop app and CLI to Remote mode on a phone, plus scheduled tasks, a GitHub Action, non-interactive CI mode and third party integrations for GitHub, GitLab, Slack and Linear. |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit
Devin indexes connected repositories into DeepWiki wikis with architecture diagrams and source links that Ask Devin searches for context. |
Partial
Context is assembled per run from the repository, @ mentioned files, MCP servers and a web search cache over OpenAI's index of the public web, and no maintained retrieval structure over the customer's own code or documents is documented. |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial
Knowledge that Devin suggests and users approve is scoped from one repository up to the enterprise and can be disabled, but no lifetime or purge path is documented. |
Full / Explicit
Codex writes its own local memory files from eligible prior chats, with a stated scope under CODEX_HOME and a stated lifetime through memories.max_unused_days, off by default and inspectable as files. |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit
Devin's proposed Knowledge is saved only after a user approves it, AI guardrails can block messages and PR comments before Devin acts, and security profiles apply reusable restrictions. |
Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit
SOC 2 Type II and ISO 27001 are assessed annually by independent auditors, and Enterprise adds SAML and OIDC SSO, IdP group mapping and custom roles for fine grained RBAC. |
Full / Explicit
trust.openai.com lists SOC 2 Type 2 and ISO/IEC 27001 and 42001 among other attestations, scoped to the API Platform and ChatGPT Enterprise, Edu and Team rather than Codex by name, with managed configuration, SCIM, EKM and a Compliance API on the access side. |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit
The session Progress tab shows shell commands, code edits and browser activity step by step after the fact, with Session Insights timelines and guardrail events in audit logs. |
Full / Explicit
Opt in OpenTelemetry export carries a documented event catalog of tool decisions, tool results and approval outcomes to a customer controlled collector, and Enterprise adds a Compliance API with audit events, though telemetry is off by default and prompt text is redacted unless enabled. |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit
Outposts run Devin sessions on the customer's own VMs, containers, Kubernetes clusters or on premises machines while inference stays in Devin's cloud, and Enterprise adds a Cognition hosted single tenant VPC over PrivateLink. |
Full / Explicit
Codex runs locally on the developer's machine under an OS enforced sandbox with dev container support, and Enterprise adds Private Link, IP allowlisting, mutual TLS and Amazon Bedrock as a model provider, while cloud tasks run in OpenAI managed containers rather than the customer's own cloud. |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit
The Devin official marketplace offers integration plugins bundling skills, rules, hooks, MCP servers and subagents that administrators install or require, alongside reusable playbooks. |
Full / Explicit
Skills and plugins are installable surfaces with build guides, a submission path, enterprise plugin management and skill controls, and Claude Code plugins can be submitted too. |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit
Users pick among Anthropic, OpenAI, Google, Cognition and open models by flag, command or config default, and Enterprise teams restrict which models are available. |
Full / Explicit
Local Codex clients accept custom model providers, with Mistral's API and a local Ollama endpoint in the vendor's own example and an OSS mode for Ollama or LM Studio, so the customer chooses across model makers. |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit
The Devin API is documented across more than 300 reference pages, with an Outposts API and CLI reference and a CLI plugin format for programmatic control of sessions. |
Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial
Devin tests its own changes, Devin Review checks pull requests and Session Insights reviews completed sessions, but no harness to evaluate agent behavior across a suite is documented. |
Partial
Code review, the Codex Security plugin and CI scanning check the customer's code and Auto-review gates individual actions at runtime, but no harness to evaluate, replay or regression test agent behavior is documented. |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Full / Explicit
Each session includes an interactive browser Devin operates for testing and visual verification, with screenshots and videos captured for the user. |
Full / Explicit
Browser and Computer use are documented capabilities with dedicated pages, alongside a browser extension and Appshots, and the security page treats their activity as a distinct traffic surface with its own feature controls. |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | C Cognition |
O OpenAI Codex |
|---|---|---|
|
Entry price Lowest public entry point |
Free · Pro $20/mo · Max $200/mo · Teams $80/mo + $40/seat · Enterprise custom | Included in ChatGPT plans: Free $0 and Go $8 a month (GPT-6 Luna in the desktop app, subject to rollout), Plus $20, Pro from $100 ($100, $200 or $500), Business $20 per user a month billed annually ($25 monthly); Enterprise and Edu through sales; or pay per token with an API key |
|
Pricing confidence How public the numbers are |
Public, exact | Public, partial |
|
Billing Primary billing axis |
quota + usage beyond quota | quota + usage beyond quota |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tierTrial
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Self-serve |
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