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OpenCode vs OpenAI Codex CLI

Codex CLI is the safer default for a team already paying for ChatGPT; OpenCode is the one to standardise on if you expect to change models, or must route them through your own gateway.

By Sheela · Checked Oct 26, 2026 · How we review

OpenCode

4.6/5

Choose OpenCode if you want one agent setup that survives a switch between Claude, GPT, open-weight and local models, or need every request to go through an approved internal gateway.

Read our OpenCode review

OpenAI Codex CLI

4.5/5

Choose Codex CLI if your team already holds ChatGPT Plus or Business seats and wants network-off, workspace-only defaults enforced by an operating-system sandbox.

Read our OpenAI Codex CLI review
OpenCode vs OpenAI Codex CLI, side by side
FeatureOpenCodeOpenAI Codex CLI
Our rating4.6/54.5/5
PriceFree and open source (MIT); you pay your model provider. Optional OpenCode Go costs $10 or $40 a month; Zen is pay-as-you-go from $20 top-ups; Enterprise is per seat, price on request.CLI is open source (Apache 2.0). Usage comes with ChatGPT Plus ($20/month), Pro ($100 to $500/month), Business ($20/user/month annual) and Enterprise, or pay-per-token with an API key.
Best forDevelopers who want a vendor-neutral terminal coding agent.ChatGPT subscribers who want a terminal coding agent without another bill.
Models75+ providers via Models.dev, including local models and ChatGPT sign-inTuned for OpenAI's GPT-6.1 Sol and GPT-6 Luna
Licence and codeMIT, TypeScript, about 221,800 GitHub starsApache 2.0, Rust, about 131,000 GitHub stars
Default permissionsEdits and shell commands allowed; asks only outside the project or on repeated loopsAuto mode: writes inside the workspace, network off, asks before going further
SandboxPermission rules in config; read-only plan agent for exploringSeatbelt on macOS, bubblewrap with seccomp on Linux, MXC on Windows
Paying for modelsYour own keys, or OpenCode Go at $10 or $40 a monthChatGPT Plus at $20, Business at $20 per user annually, or API tokens
Security recordThree advisories against its local HTTP server in 2026, all fixedOne sandbox bypass, CVE-2025-59532, fixed in 0.39.0
Main drawbackQuality follows the chosen model; permissive by defaultPlus allowance given only as wide estimates

Both are open-source terminal coding agents with frequent releases, but they answer different questions. Codex CLI is OpenAI's agent, tuned for its own models, sandboxed by the operating system and paid for by a ChatGPT plan. OpenCode is model-agnostic, reaching more than 75 providers, and its permissions allow edits and shell commands by default unless you tighten them.

The choice between these two agents is mostly a choice about who supplies your models. Codex CLI is built and tuned by OpenAI, and a ChatGPT plan pays for it: Plus at $20 a month, or Business at $20 per user per month on annual billing ($25 monthly). OpenCode is free under the MIT licence and talks to more than 75 providers through Models.dev, including local models, and its homepage says it can sign in with a ChatGPT Plus or Pro subscription too. Both ship quickly: OpenCode released v1.19.4 on 22 October 2026, Codex rust-v0.164.0 the next day.

Their safety defaults differ more than their feature lists. In a version-controlled folder Codex suggests Auto mode, which edits and runs commands only inside the workspace, keeps network access off and asks before going further; an operating-system sandbox (Seatbelt on macOS, bubblewrap with seccomp on Linux, MXC on Windows) enforces it. OpenCode's permissions docs say most tools, including edit and bash, default to allow, with prompts only for paths outside the project, repeated identical tool calls and .env files. Its plan agent blocks edits but, per the agents docs, does not restrict shell commands unless you configure it to. OpenCode's local HTTP server has also needed three security fixes in 2026, against one public sandbox bypass for Codex.

Cost predictability cuts the other way. OpenAI gives Plus users an estimated 15 to 160 local GPT-6.1 Sol messages per five hours and 350 to 3,000 on GPT-6 Luna, with weekly limits it does not specify; Pro at $100, $200 or $500 a month removes the five-hour cap. OpenCode's bill is whatever your provider charges, or a fixed $10 or $40 a month for OpenCode Go, which covers 29 models with caps of 20% of the monthly allowance per five hours and 50% per week. Two Go models train on prompts, so the model list needs reading before proprietary code goes near it.

For a company standardised on ChatGPT Business, Codex costs nothing extra and starts from tighter defaults, which outweighs OpenCode's flexibility. The calculation flips for a bank with its own LLM gateway or a team comparing models: OpenCode Enterprise can lock every install to one gateway and disable other providers, and the same agents, commands and MCP servers carry over when the model changes, which Codex, tuned for OpenAI's lineup, does not aim to offer.

Which should you choose?

The jobs each one is best at, from our reviews.

Pick OpenCode if you are…

  • A platform team at a 500-developer bank with an internal LLM gateway

    Give engineers a coding agent that only ever talks to approved models

    Enterprise central config points every install at the internal gateway via SSO and disables other providers, with share pages turned off. Billing is per seat with no token charge from Anomaly; the bank pays its own model costs.

  • A freelance developer paying for tokens personally

    Run a capable terminal agent for under the price of a Claude or ChatGPT subscription

    Install with Homebrew or npm and subscribe to OpenCode Go at $10 a month, which caps use at 20% of the monthly allowance per five hours. Switching to a frontier model for a hard task means adding that provider's own key.

  • A staff engineer evaluating models for a 30-person product team

    Compare how different models handle the same refactor

    Keep one set of agents, commands and MCP servers and change only the model per session, so differences come from the model rather than the harness. Cost is whatever each provider charges for the tokens used.

Pick OpenAI Codex CLI if you are…

  • A ten-developer start-up already on ChatGPT Business

    Give every engineer a terminal coding agent without a second vendor

    Each developer signs in with their Business seat at $20 a month on annual billing, so the agent adds no new bill. Heavy users who hit the five-hour window can buy credits or move to Pro.

  • A security-conscious engineer at a fintech

    Let an agent fix failing tests without giving it the network or the home directory

    Run in Auto mode, which limits writes to the repository and keeps network access off unless a command is approved. Telemetry stays off by default; if enabled, the docs advise keeping prompt logging off and sending data only to your own collector.

  • A platform team running CI on API billing

    Run Codex non-interactively in pipelines

    Authenticate with an API key, which works in the CLI and SDK without cloud features and bills per token at API rates. Inside containers, the docs suggest relying on the container for isolation if the sandbox fails.

OpenCode vs OpenAI Codex CLI pricing

OpenCode

OpenCode plans
Open sourceFreeMIT; you pay your model provider
OpenCode Go$10 or $40 a month
ZenPay-as-you-go from $20 top-ups
EnterprisePer seat, price on request

OpenAI Codex CLI

OpenAI Codex CLI plans
CLIFreeApache 2.0
ChatGPT Plus$20/month
ChatGPT Pro$100 to $500/month
ChatGPT Business$20/user/month annual

Pros and cons

OpenCode

Good

  • 75+ providers, including local models and your own gateway
  • MIT licence; Enterprise adds per-seat central config
  • Plan agent that cannot edit files, for exploring unfamiliar code
  • Optional $10 a month Go plan for cheap model access

Not so good

  • Three serious advisories against its local server since January 2026
  • Quality depends entirely on the chosen model
  • Some Go-plan models train on prompts
  • About 3,840 open issues and PRs and a fast-moving v2 line

OpenAI Codex CLI

Good

  • Included with ChatGPT Plus, Pro, Business and Enterprise
  • Network off and workspace-only writes by default
  • OS-level sandbox on macOS, Linux and Windows
  • Apache 2.0 Rust code; telemetry off by default

Not so good

  • Plus allowance quoted only as wide estimates
  • Weekly limits apply but are not published
  • Tuned for OpenAI models; models retire often
  • Sandbox can fail inside Docker containers

Before you commit

OpenCode vs OpenAI Codex CLI: setup, integrations, data, cost and limits
TopicOpenCodeOpenAI Codex CLI
Setupcurl install script, npm (@opencode/cli), Homebrew, pacman, mise or Nix; the binary lands in ~/.opencode/bin. Add a provider key or log in, then run opencode in a repository.curl or PowerShell installer, npm install -g @openai/codex or brew install --cask codex; run codex and sign in with ChatGPT. Prebuilt binaries cover macOS and Linux on x86_64 and arm64.
IntegrationsMore than 75 model providers through Models.dev, MCP servers, LSP servers, a JavaScript SDK, IDE extensions, a beta desktop app for macOS, Windows and Linux, and a browser interface. GitHub Copilot and ChatGPT Plus or Pro subscribers can sign in with those accounts. Private npm registries such as Artifactory work through .npmrc.Same agent in the CLI, IDE extension (VS Code, Cursor, Windsurf), desktop app and Codex cloud; MCP servers, an SDK, and API-key mode for CI. Can be pointed at other providers but is tuned for OpenAI models.
Data and privacyThe project says it stores no code or context; prompts go straight to your chosen provider, except on its free models, where data is stored. Session sharing to opncd.ai is manual by default and can be set to disabled. Zen models are US-hosted with zero retention, with exceptions listed separately.Code stays local except what is sent to OpenAI as context; session transcripts are saved locally and can be capped. Telemetry is off by default. Training and retention follow your ChatGPT plan or API terms, which the Codex security page does not restate.
Cost at scaleThe agent is free; the bill is model usage. Go costs $10 or $40 per user per month with five-hour and weekly caps; Zen charges provider rates plus $1.23 per $20 top-up; Enterprise is per seat, with no published price.Plus $20 a month, Pro $100, $200 or $500 with no five-hour cap, Business $20 per user per month annually or $25 monthly, Enterprise on request; extra usage via credits whose dollar value depends on the plan. API-key use bills at API token prices.
LimitsThe local HTTP server has needed three security fixes in 2026, so pin current versions; opencode web serves without a password unless OPENCODE_SERVER_PASSWORD is set, so set one before binding it to 0.0.0.0. V2 does not yet support session sharing, and behaviour varies widely between models.Plus allows an estimated 5 to 45 GPT-6 Astra or 15 to 160 GPT-6.1 Sol messages per five hours plus unpublished weekly caps; cloud tasks draw more. Models are retired at short notice, and about 24,900 issues and pull requests are open.

Common questions

Is OpenCode better than OpenAI Codex CLI?
Codex CLI is the safer default for a team already paying for ChatGPT; OpenCode is the one to standardise on if you expect to change models, or must route them through your own gateway. We rate OpenCode 4.6 and OpenAI Codex CLI 4.5 out of 5.
When should I choose OpenCode?
If you want one agent setup that survives a switch between Claude, GPT, open-weight and local models, or need every request to go through an approved internal gateway.
When should I choose OpenAI Codex CLI?
If your team already holds ChatGPT Plus or Business seats and wants network-off, workspace-only defaults enforced by an operating-system sandbox.
How much do OpenCode and OpenAI Codex CLI cost?
OpenCode: Free and open source (MIT); you pay your model provider. Optional OpenCode Go costs $10 or $40 a month; Zen is pay-as-you-go from $20 top-ups; Enterprise is per seat, price on request. OpenAI Codex CLI: CLI is open source (Apache 2.0). Usage comes with ChatGPT Plus ($20/month), Pro ($100 to $500/month), Business ($20/user/month annual) and Enterprise, or pay-per-token with an API key.

Sources