More AI vs Codex CLI

Workflow and cost comparison #

What does Codex CLI cover? #

Codex CLI works in a local repository and supports interactive work, review and scripted execution. This comparison names the CLI specifically; it does not claim that the wider Codex and ChatGPT ecosystem lacks graphical or document workflows.

More AI is a free desktop agent with one Home for questions, files and documents, and a separate Code workspace for repositories. Unified Home is available in desktop version 0.1.50 and later on macOS, Windows and Linux; earlier Chat conversations remain accessible. More AI is proprietary, not an open-source project.

Models, access and total cost #

For an OpenAI key already set privately as OPENAI_API_KEY, the documented macOS/Linux command is printenv OPENAI_API_KEY | codex login --with-api-key. Check codex login status next. For a different provider, use user-level ~/.codex/config.toml to select model_provider and configure its model, base URL and authentication. For a prepared local runtime, choose --oss --local-provider ollama or --oss --local-provider lmstudio. Follow the official references below for your platform and protocol; a successful login does not establish model or tool compatibility.

In More AI, BYOK usage is billed by your selected provider at its API price. The cloud subscription pays for execution and access, not model tokens; available cloud features are free during beta. A signed-in account may separately receive a limited promotional model allowance. Public credit purchase is not open. Count retries, tool calls and long context when estimating a task, not just one reply.

How the work gets done #

The CLI fits repeatable terminal work and code review. More AI’s proposed advantage is the particular way its Home and Code workspaces fit your tasks and provider budgeting. It is not exclusive access to a GUI, cloud execution or non-OpenAI models.

When to choose Codex CLI #

Choose Codex CLI when terminal automation, review commands and your existing OpenAI workflow already meet the requirement. Before switching because of billing or provider restrictions, inspect its current API-key and custom-provider configuration; the restriction may be configuration-specific.

When More AI is worth trying #

Try More AI when its supported provider setup and document/repository organization address a recurring task you find awkward elsewhere. Compare the same model where possible, but also test the intended production configuration. A matching model name does not reproduce the agent’s context and tools. Separately, running Codex itself inside More AI’s Code workspace — with More AI’s permissions, browser and connectors around it — is in testing and not yet in a desktop release.

A practical trial before switching #

Use a disposable copy of a real task and decide the acceptance criteria before starting. The following is a proposed test, not a claimed benchmark result.

• Record codex --version, authentication method, model/provider and a clean repository commit. Set a small provider budget and specify allowed files and one test command before either agent starts.
• Ask for a read-only explanation of one failing test; then allow a minimal patch and run the test. Check the actual diff and output. Treat authentication, protocol or tool errors separately from a wrong solution, and stop repeated attempts that make no progress.
• Repeat from the same snapshot in More AI Code. Record whether usage came from a plan, API key or local runtime, all attempts and manual corrections. Compare accepted changes and documented cost; an unmeasured or unavailable price is unknown, not zero.
• Record app version, model/provider, settings, elapsed time, total API cost, retries and manual fixes. Inspect the final artifact; a completed run alone is not proof of a correct result.

More AI accounts and data handling #

An account is optional for supported local desktop BYOK or local-model work. Signed-out work is not synced. After sign-in, supported sync categories start enabled in a new installation and can be disabled individually. Cloud execution is a separate control that starts off.

Local copies do not mean all processing stays on-device. Hosted requests go to the selected provider. AI observability can send bounded prompts, responses, reasoning and tool content by default, including BYOK; replay may see rendered content. Disable AI observability and general telemetry in Privacy as needed. A local model alone does not establish a fully offline workflow.

Frequently asked questions #

Can Codex CLI use custom providers, Ollama or LM Studio?

Yes. Current OpenAI documentation describes custom model providers and local --oss mode with Ollama or LM Studio. Actual capability still depends on protocol, model and configuration; More AI should not be presented as uniquely provider-flexible.

Does More AI require an account?

An account is optional for supported local desktop work with your own key or model. Cloud features, supported sync and account-granted model allowances require sign-in.

Is More AI free?

The desktop app is free. BYOK model usage is separate. Available cloud features are temporarily free during beta; cloud is the subscription layer. This does not promise unlimited free tokens.

Does the same model produce the same result in both apps?

No. Context selection, instructions, tools, edit handling and retries affect quality and cost. Compare a completed task with the same model where supported, then test each app with its recommended setup.

Sources and review scope #

• OpenAI — Codex CLI
• OpenAI — authentication
• OpenAI — custom providers and local models
• OpenAI — CLI flags
• More AI — docs
• More AI — Privacy