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Compare/Codex CLI vs Warp

Codex CLIvsWarp

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Codex CLI
OpenAI · Terminal agent
#1OSSMCP
Panel
7.1
2 spec wins
Reliability
7.3
Usefulness
7.0
Cost
6.8
Longevity
7.2

“Apache-2.0, so you can read every line except the one that lets you pick a model that is not OpenAI's.”

Warp
Warp · Terminal agent
#20OSSMCP
Panel
6.5
1 spec wins
Reliability
6.5
Usefulness
6.7
Cost
5.5
Longevity
7.2

“Scored 75.8 on SWE-bench Verified with a best-of-k wrapper, which is also how most of us get through code review.”

Spec by spec

SpecCodex CLIWarp
Architecture
CategoryTerminal agentTerminal agent
Runslocallocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlNoThe shared Codex codebase carries a browser-use configuration with Chrome DevTools Protocol access, but OpenAI's documentation states browser is not available in the Codex CLI or the IDE extension; it runs in ChatGPT on the web and in the desktop app. The CLI's --search flag adds live web search only. YesComputer Use environments bundle Chromium plus the Playwright CLI and can attach over CDP, so the agent navigates, clicks, fills forms and reads pages.
Sandboxed executionYesYesCloud runs execute in a containerized sandbox built from a Docker image with no access to the local machine; local interactive sessions are not sandboxed.
Multi-agent orchestrationYesYes
Headless / CI modeYesYes
Models
BackboneOpenAI GPT-5.x, GPT-5.x-CodexGPT, Claude, Gemini, Grok, open-weight models via Fireworks
Bring your own modelYesYesAny OpenAI-compatible endpoint (OpenRouter, LiteLLM, an internal gateway) plus BYO Anthropic, OpenAI or Google keys and custom routers.
Local modelsYesYesOllama, LM Studio, vLLM and llama.cpp are supported through the custom inference endpoint, but only when exposed at a public URL via a tunnel, since localhost and private addresses are rejected.
Cost
Pricing modelmixedmixed
Starts at$8/mo$20/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseApache-2.0AGPL-3.0
GitHub stars127,56365,338

Which one would each critic pick

CriticCodex CLIWarpPick
El Juez——not enough reviews
El Amigo8.07.3Codex CLI — If you already pay for ChatGPT, this is the terminal agent you have and it is a good one; open source, MCP, headless, and pointed at OpenAI until you configure it otherwise.
El Crítico7.06.0Codex CLI — A sandbox mode you choose once is the only barrier between the agent and your shell, the free tier is a taste, and the defaults point at one vendor.
El Profesor6.36.0Codex CLI — An open-source scaffold for one vendor's models, with a documented instruction file and a headless mode; the scaffold is inspectable, the capability is unmeasured.
La Inversora8.36.8Codex CLI — A lab's terminal agent bundled into a $20 subscription with 121,000 stars on the repo; the distribution is ChatGPT, and that is the whole thesis.
La Jefa7.36.0Codex CLI — Business at $20 a seat with SAML SSO and no default training, Enterprise for SCIM and audit logs; if the org is on ChatGPT already, this is a line item, not a project.
El Hacker5.86.8Warp — AGPL-3.0 now, custom OpenAI-compatible endpoint, mcpServers config, headless Agent CLI; local models only once a tunnel makes them public, and bring-your-own-key behind a Business seat, which I will hold against it.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.