Compare Claude Code Pricing vs Codex vs Gemini CLI 2026

The first question in this 2026 comparison is no longer which agent scores highest, but which one you can still access on your preferred terms. Developers, teams, and individual users now face different routes to these terminal tools. A free-tier comparison can be outdated when access rules change.

Price matters, but so do usage limits and the way each tool fits your work. A tool that suits a few focused coding sessions may not suit a team that runs long tasks every day. This comparison helps you weigh those trade-offs against your budget and workflow.

A usage allowance is the amount of model use included with a subscription before its plan limits apply. A good choice starts with the account and workflow you already have, then checks how much included use your work will consume.

Key Takeaways

• Codex comes with eligible ChatGPT plans, including Plus.
• Claude Code requires an eligible paid Claude plan or API access.
• Individual Gemini CLI access changed, while eligible organization and paid API routes remain.
• Subscription limits can depend on model, task size, and workflow.
• Try a representative project task before choosing a tool for a team.

Which tools can individual developers still access?

Codex is bundled with ChatGPT Plus, while individual Gemini CLI access changed on June 18, 2026. Access first matters because the free-tier routes people once compared do not all remain available.

Claude Code requires a paid Claude plan or API access, while Codex CLI works through an eligible ChatGPT plan or API route. Google directed unpaid-tier and Google One users to Antigravity CLI on June 18, 2026. Gemini CLI remains available to eligible organizations and paid Gemini API users.

Claude Code pricing vs Codex vs Gemini CLI 2026 review starts with access: Codex is bundled with Plus, Claude Code needs a paid Claude plan or API access, and Gemini CLI’s consumer route ended. The clients differ, too: Codex CLI and Gemini CLI are open-source, while Claude Code is proprietary.

Check access before comparing included use. A familiar individual Gemini CLI route may no longer apply to your account.

ChatGPT Plus costs $20 per month and includes Codex on the web, in the CLI, through the IDE extension, and on iOS in 2026. The terminal option is only one part of that plan’s value.

Confirm that your account qualifies for the tool before comparing the amount of usage it includes.

Claude Code Pricing vs Codex vs Gemini CLI 2026: What Does Each Cost?

Claude Code has no free Claude-plan access; the first included individual option is Claude Pro at $20 per month when billed monthly. Pro is the entry point if you want Anthropic’s terminal agent on a personal subscription.

Claude Free costs $0 but does not include Claude Code. Pro includes it, and Max provides more usage for developers who hit Pro’s limits. The subscription price is only one part of the cost if your work also uses paid API access.

Claude Free, Pro, and Max

Pro costs $20 monthly, or $17 per month with an annual subscription billed at $200 upfront. Max starts at $100 per month and includes Claude Code.

Max offers five or 20 times Pro usage, depending on the tier. That difference can matter more than the plan name if your sessions involve long code reviews or repeated agent runs.

The annual-billing trade-off

Annual Pro billing lowers the monthly equivalent, but it requires the full $200 upfront. Monthly billing costs more across a full year, though it does not tie up a year’s payment at once.

Anthropic’s Claude plan pricing lists which subscriptions include Claude Code. Compare the $200 annual Pro payment with the monthly option against the months you expect to use it.

How much does Codex cost, and which plans include it?

Codex access starts at $8 per month for a few focused coding sessions each week, while ChatGPT Pro plans start at $100 per month. The right tier depends on how often you code and which other ChatGPT features you use.

The $8 plan is aimed at a few focused sessions, while Pro starts at $100 monthly. ChatGPT Pro has available prices of $100, $200, or $500 per month in 2026. Those options do not all have the same limits.

• The $8 plan suits a few focused coding sessions each week.
• ChatGPT Plus bundles Codex access with other ChatGPT features.
• ChatGPT Pro offers higher-tier plan options for heavier users.

Codex is available on the $8-per-month plan with GPT-6 Luna at Standard speed in the desktop app, subject to rollout. That model listing may not appear for every user at once.

GPT-5.5 retires from Codex sessions authenticated with ChatGPT sign-in on October 14, 2026, at noon PDT. API-key sessions are unaffected by that sign-in retirement.

Check which sign-in route you use before relying on a model that has a scheduled retirement date.

What Gemini CLI access is still available?

Gemini CLI remains available to Code Assist Standard and Enterprise organizations and through paid Gemini API keys, while consumer access moved to Antigravity CLI. Those remaining routes suit eligible teams and API users, not the former individual on-ramp.

Gemini CLI’s remaining organization route includes Code Assist Standard and Enterprise. Its former individual routes had daily request ceilings, but they are not current Gemini CLI access for those users.

Paid Gemini API access is billed by model and token use, and quotas vary by pricing tier. API request quotas apply per project, not per key, and reset at midnight Pacific time.

Request limits can also apply per user and per minute. Google notes that service availability can change during high demand, and Gemini CLI quotas and pricing describe the route-specific limits.

Claude Code vs Gemini Code Assist compares a paid Claude-plan route with Google’s organization product. For eligible Code Assist customers, the Gemini CLI route is the relevant comparison.

Verify the exact eligible account route before building a team workflow around an old individual quota.

How do usage limits change day-to-day work?

A plan’s practical value depends on how its limit is measured: Claude shares product usage, Codex varies with model and task, and Gemini CLI counts requests. The same plan can feel different across a short code fix and a long agent session.

A large or complex task can use more allowance than a small local task. Codex estimates also change by model and by local or cloud execution, so treat them as guides, not fixed caps.

Shared subscription allowances

Claude Pro and Max share usage across Claude Code and other Claude products. Model choice affects how quickly you use that shared allowance.

ChatGPT Plus and Standard Business users have estimated local-message allowances per five-hour period. Estimates range from 15 to 160 for GPT-6.1 Sol, 15 to 150 for GPT-6 Sol, and 350 to 3,000 for GPT-6 Luna.

Request and message ceilings

Codex local messages and cloud chats share the plan allowance, and weekly limits may also apply. A task’s size and complexity can affect how much allowance it uses.

Gemini CLI users can run /stats model to check session token use and applicable quota information. Check the relevant usage screen or quota command during a representative work session before estimating a month’s capacity.

What do Claude and Codex team plans cost?

Claude Team Standard costs less than Premium, but Standard seats do not include Claude Code. Seat price alone can mislead when only some people need the terminal agent.

Team Premium includes Claude Code; Team Standard does not. Enterprise uses a different billing model, so its seat price does not represent a fixed amount of included model use.

Claude Team seats

Team Standard costs $25 per seat monthly or $20 per seat with annual billing. Team Premium costs $125 monthly or $100 per seat with annual billing.

Claude Enterprise billing

Enterprise costs $20 per seat each month, billed annually, and requires at least 20 seats. Usage is billed at API rates rather than included like an individual subscription’s usage allowance.

That makes Enterprise a poor direct price match for an individual plan. A team should count both the seats it needs and the model use those seats expect.

Count the seats that need Claude Code, not just the seats that need a shared team workspace.

How do the three coding agents differ in a workflow?

For a complex change spanning a codebase, start by testing Claude Code; for a screenshot-led task, Codex has an image-input path; for grounded Google research, Gemini CLI has a distinct option. Task fit is a better comparison than a single winner.

All three agents can work from a terminal, read project files, edit code, and run commands. Their integrations differ: each supports MCP, while Google Search grounding and image input serve different kinds of work.

• Use Claude Code to reason across files during a multi-file repository change.
• Try Codex for quick implementation or work guided by a screenshot or diagram.
• Choose Gemini CLI for current-documentation research with Google Search grounding.
• Connect external services through MCP when your workflow needs them.

Codex vs Gemini CLI vs Claude Code is a task-fit comparison, not proof that one tool wins every job. A screenshot can give Codex visual context, while Search grounding can bring current documentation into a Gemini CLI task.

Claude Code supports MCP, and Codex supports MCP through configuration. Gemini CLI also supports MCP, giving teams a way to connect external services when access permits.

OpenAI’s Codex CLI guide describes local repository work, commands, integrations, and image input. Match the tool to the task’s information source and output, then test the result on a representative repository.

Which tool performs best on coding benchmarks?

The available results split by task: GPT-5.3-Codex leads the listed standalone Terminal-Bench 2.0 comparison, while Opus 4.6 leads OSWorld-Verified. That split does not name one agent as best across coding work.

Scores from different benchmark versions and model pairings cannot establish a single ranking. Missing entries also prevent a direct comparison on some tests.

Terminal and computer-use tasks

Terminal-Bench measures terminal tasks, including software engineering, system administration, data processing, and security. Version 2.1 covers 89 tasks across those areas.

In another Terminal-Bench 2.0 listing, Codex CLI with GPT-5 scored 77.3%, while Droid scored 69.9%. The exact Codex model version was unconfirmed.

Repository issue and coding tests

Opus 4.8 in Claude Code scored 88.6% on SWE-bench Verified. No matching Antigravity score was given in that comparison.

These results pair different models and test versions, and several entries have no matching score. Use a benchmark that resembles your real task, then confirm the result on your own repository.

How much context can each tool handle?

Gemini Code Assist advertises a 1M-token context window, but that figure should not be treated as a universal Gemini CLI allowance. Product context matters because not every access route has the same stated capacity.

A context window is the amount of information a model can consider in one request. It does not guarantee that an agent reads every project file or loads every part of a codebase.

Codex lists a 400K-token context window for GPT-5.5. Claude Code has Opus 4.8 available, but Claude context capacity depends on the model and plan.

Gemini Code Assist describes a 1M-token context window for its product. That capacity should not be generalized to all Gemini CLI access routes.

A large window can help when a task spans many files, but it does not replace clear project instructions. The agent still needs to find and use the files relevant to the change.

Test context handling against the files and repository size your actual task requires.

Which agent gives you the strongest execution controls?

Codex has the clearest default boundary in this comparison because workspace-write sandboxing is enabled by default. Default settings matter when an agent can run commands or change files.

Codex limits its work to the project workspace by default. Claude Code and Gemini CLI require you to enable or configure their sandbox options.

Permission prompts and sandbox settings

Codex uses a workspace-write sandbox by default. Claude Code has a built-in sandbox that you can enable with /sandbox.

Platform and filesystem boundaries

Gemini CLI sandboxing is opt-in through the -s flag or configuration. Windows support is available, but sandbox options vary.

Filesystem limits do not answer every safety question. Inspect filesystem and network permissions before allowing autonomous commands to run.

Review the permissions in the environment where the agent will run, especially before exposing credentials or production files.

Can Codex CLI run in CI with an API key?

Yes, Codex CLI can run in CI with an API key, but that route is billed at API pricing and does not include Codex cloud-based features. Headless use suits shared environments where a job runs without an interactive session.

API-key use is billed separately from a ChatGPT plan’s included Codex access. Codex CLI, its SDK, and its IDE extension can use API keys for automation in shared environments such as CI.

CLI automation and cloud-based Codex features are separate access routes. A CI job can call the CLI without bringing along cloud features tied to another sign-in route.

• Isolate the CI runner from unrelated systems and projects.
• Pass secrets through the runner environment, not through prompts.
• Review the commands, files, and network access the job permits.

Keep the API key in the runner’s secret store and limit which jobs can read it. Do not place a key in source files or saved command output.

Run the first job in a restricted runner and inspect its permissions before widening access.

When does open source or Antigravity matter?

If inspecting the client matters, Codex CLI and Gemini CLI offer open-source options, while Antigravity CLI is closed source. Client code can matter to teams that want to review or change the tool itself.

Codex CLI and Gemini CLI use the Apache 2.0 license, but an open client does not make its model or API free. Claude Code is proprietary, and Antigravity CLI is a closed-source Go rewrite.

Google replaced individual Gemini CLI access for unpaid-tier and Google One users with Antigravity CLI on June 18, 2026. Its closed-source status sets it apart from Gemini CLI’s open client.

Claude Code vs Gemini Antigravity compares Anthropic’s proprietary tool with Google’s closed-source replacement for individual Gemini CLI access. The choice rests on client access and eligible model routes, not just the product name.

Which is better, Gemini CLI or OpenCode? Choose Gemini CLI for eligible Google organization or paid API access; consider OpenCode when broad provider choice or local models matter more.

OpenCode supports more than 75 LLM providers and can run local models. That flexibility can help when a team wants to switch providers or keep model work on its own machines.

Choose based on the license and model-provider access you need, not the client label alone.

How should teams organize rules and integrations?

Claude Code is already Anthropic’s command-line agent; teams do not need a second CLI to use it. Shared rules can help each agent follow the same project conventions.

Claude Code is the CLI for Claude Code workflows; Codex CLI and Gemini CLI are separate alternatives. Add another agent only when a distinct task or review benefit makes it useful.

Repository instruction files

Claude Code uses CLAUDE.md, Codex uses AGENTS.md, and Gemini CLI uses GEMINI.md for project instructions. Teams can place shared coding conventions in the file for each agent.

External tools and review steps

Each agent supports MCP connections for external services. Claude Code also supports hooks, which can run workflow-specific actions.

Keep instructions clear about code style, test commands, and files the agent should avoid. Review each external connection before giving it access to team systems.

Keep each repository’s agent instructions current and review integrations before granting them access to team systems.

Can you combine Claude Code with Gemini CLI?

Yes, Claude Code and Gemini CLI can work in the same project, provided the Gemini CLI user still has an eligible access route. Separate agents can handle distinct tasks without replacing one another.

Both tools can work against the same project and use separate instruction files. Claude Code reads CLAUDE.md, while Gemini CLI can follow GEMINI.md; both support MCP.

1. Confirm that the user has an eligible Gemini CLI route.
2. Assign different tasks, or ask one agent to review the other’s changes.
3. Use separate Git branches or inspect the diff before merging overlapping edits.

For example, one agent can draft a change while the other checks its tests or documentation. Keep each task clear so both tools do not rewrite the same files at once.

Review the combined diff and run the project’s tests before merging edits from either agent.

Which coding agent fits your budget and work?

The simplest starting point is the tool already included with an account you pay for, then test it on a task your team actually performs. Existing access can make a paid plan more useful than a new subscription.

A representative task and your actual plan limits are better decision criteria than one benchmark score. Work complexity, review effort, and the included usage allowance all shape the practical cost.

• ChatGPT subscribers should trial Codex on a typical coding task.
• Claude Pro or Max subscribers should evaluate Claude Code on repository work.
• Eligible Google organizations should consider Gemini CLI for team workflows.
• Teams needing local models or many providers should assess OpenCode.

Test the agent through the account your team already has. A tool that fits your access route and daily work is easier to judge than a score alone.

For a wider view of subscription value, compare these coding plans with other AI chatbot subscriptions. Your best fit may depend on whether you also use the plan for writing, research, or other work.

Teams weighing a switch can also review ChatGPT alternatives and their use cases. Choose one representative repository task, compare the review effort and usage it consumes, and scale only after that trial.

Conclusion

The right coding agent is the one you can access, afford, and trust with the work you actually delegate. Access rules and usage mechanics can matter as much as model capability.

If you already pay for ChatGPT, start with Codex. Claude Pro or Max users can test Claude Code against a real repository task. Google Code Assist organizations can try Gemini CLI through their eligible route.

Before committing a team, run one representative task with the eligible tool and review its output and usage.