Coding · Head-to-head
OpenAI Codex vs Grok Build
OpenAI Codex (freemium, AI Score 8.8/10) vs Grok Build (paid, AI Score 8.1/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick OpenAI Codex if…
- →you need a genuinely free option
- →budget is the constraint
- →overall capability matters more than price (AI Score 8.8 vs 8.1)
- →your primary use case is teams already standardised on chatgpt who want the coding agent bundled with the seats they pay for, and who want the same agent in a terminal, an editor and a pull request.
Pick Grok Build if…
- →your primary use case is terminal-first developers already paying for supergrok or x premium+ who want an agentic cli with plan review and live web context rather than another ide to learn.
Side-by-side specs
| Spec | OpenAI Codex | Grok Build |
|---|---|---|
| Category | Coding | Coding |
| Pricing model | freemium | paid |
| Headline pricing | Included with ChatGPT Free, Go, Plus, Pro, Business, Edu and Enterprise plans | Included with SuperGrok ($30/mo) or X Premium+ ($40/mo) |
| Free tier | Yes. OpenAI documents Codex as included on the ChatGPT Free plan, with access described as restricted to basic tasks. | — |
| AI Score | 8.8/10 | 8.1/10 |
| Best for | Teams already standardised on ChatGPT who want the coding agent bundled with the seats they pay for, and who want the same agent in a terminal, an editor and a pull request. | Terminal-first developers already paying for SuperGrok or X Premium+ who want an agentic CLI with plan review and live web context rather than another IDE to learn. |
| Editor's pick | — | — |
| Use cases | development agents productivity | development agents |
| Date added | 2026-08-02 | 2026-05-26 |
Pros and cons
🧑💻
OpenAI Codex
Coding · freemium
Pros
- ✓Included in ChatGPT plans from the free tier upward, so most organisations already own it
- ✓Covers the terminal, the editor, a hosted cloud runner, the ChatGPT apps and GitHub pull request review from one entitlement
- ✓AGENTS.md keeps agent configuration in the repo and under version control rather than in someone's local settings
- ✓Three GPT-5.6 variants let a team route cheap work to Luna and hard work to Sol instead of paying one rate for everything
- ✓Overflow credits are priced per million tokens, which makes the marginal cost of extra work legible
Cons
- ×Published limits are ranges per rolling five-hour window that span two orders of magnitude, so the included allowance is not knowable in advance
- ×Usage depends on which model variant a task routes to, and routing is not fully under the user's control
- ×Pro pricing is presented as tiers rather than a single figure, so the real cost of the heavy plan needs checking at the point of sale
- ×The agent is tied to a ChatGPT account, which is awkward for teams that standardised on a different assistant vendor
🔧
Grok Build
Coding · paid
Pros
- ✓Out of beta at v1.0 (August 7, 2026) with MCP tools, sandboxed runs, codebase restore and session forking all landing in one release
- ✓Plan Mode plus v1.0's full-script permission prompts give an unusually explicit consent flow for an agent holding shell access
- ✓Runs Grok 4.5, the Opus-class model xAI also shipped into Cursor and Perplexity, not a cut-down CLI tier
- ✓Real-time web and X search inside the agent loop, which competitors approximate with external MCP servers
- ✓Flat subscription pricing means a heavy refactoring session costs no more than a one-line fix
Cons
- ×No free tier at all; the cheapest way to run it is a $30/mo SuperGrok subscription
- ×Thin independent track record: three months old, and xAI publishes no CLI-specific coding benchmarks
- ×Access tiers already moved once (Heavy-only to SuperGrok + Premium+ in eleven days), so today's gate is not a promise
- ×Naming collision with 'Build Mode' inside consumer Grok makes docs and community answers hard to search
Related comparisons
Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.