Claude vs ChatGPT for coding

Claude or ChatGPT for coding? Test both on your own task

The honest comparison is between products, not model names: where each one runs, what it can touch in your repo, which plan includes it and when you hit the limit. Below is what both vendors publish about that, then six prompts and a scorecard to settle it on your own code.

ZeroTwo publishes this page and sells a product that offers models from both vendors. We have not run a matched test, so there are no scores here. Vendor details were read from the vendors' own pages on 5 October 2026.

Scorecard to fill in per task

ClaudeChatGPT
  • Compiles and type-checks
  • Tests pass
  • Edits needed before merge
  • Follow-up prompts
  • Time to a passing result
  • Usage or credits consumed

One row per measure, filled in by you after every run.

Where each one is the natural starting point

These are starting points drawn from what the vendors list, not verdicts. The tests further down are how you overrule them.

Start with Claude if

Your day is a terminal, an editor or CI

Claude Code runs in a terminal, in VS Code, in JetBrains IDEs, in a desktop app and on the web, and Anthropic lists it on every paid Claude plan. If you already pay for Claude, you already have it.

Start with ChatGPT if

You want coding in the same plan as chat, images and voice

OpenAI's Codex (CLI, IDE extension, cloud and the ChatGPT desktop app) is listed as limited on Free and Go, included on Plus and expanded on Pro, in the same plan that has image creation and voice.

Our read

Neither wins everywhere, and we have no score to claim

Models and products on both sides change faster than a comparison can be maintained. Pick the surface that fits how you work, then prove it on your own repo with the six tasks below.

What each vendor publishes, side by side

Compare like with like: a chat model is not a terminal agent, and an API is not a subscription. Every cell below comes from the vendor's own pages, read on 5 October 2026.

Claude and ChatGPT compared by product surface, plan access, usage limits, price and features, from each vendor's own pages, read on 5 October 2026.
Where you use itClaude (Anthropic)ChatGPT (OpenAI)
Chat appWeb, iOS, Android and desktop, on every plan including Free.Web, iOS and Android on every plan; a ChatGPT desktop app is documented.
Terminal agentClaude Code CLI (install script, Homebrew or WinGet).Codex CLI.
Inside your editorClaude Code extension for VS Code (also installable in Cursor) and a JetBrains plugin that needs the CLI installed separately.Codex IDE extension. Check OpenAI's docs for the editors it supports.
Background or cloud agentClaude Code on the web, plus the Claude mobile app.Codex Cloud.
Coding access by planClaude Code is listed on Pro, Max, Team and Enterprise, and not on Free.Codex is listed as limited on Free and Go, included on Plus, expanded on Pro.
Usage limitsChat and Claude Code draw from one pool. Limits reset on a rolling five-hour window, and paid plans add weekly limits. Max (from $100/mo) offers 5x or 20x Pro usage.Plus is marked limits apply. Pro lists a choice of three usage tiers and longer Codex sessions.
Entry paid planPro is $20/mo billed monthly, or $17/mo with the annual plan ($200 billed up front).Plans are Free, Go, Plus and Pro. Prices are on OpenAI's pricing page; check it for your region.
Context windowListed as up to 1M, varying by model.Varies by plan and model. Plus lists a 256K total window for reasoning models; part of it is used by instructions and memory.
VoiceVoice mode is listed on every plan.Voice is listed on every plan, with more on paid plans.
Image creationNot listed on the plan table we read; check Anthropic's page.Listed on every plan, limited on Free.
APIBilled per token on the Claude Platform; rates are on Anthropic's pricing page.A separate OpenAI API dashboard; check its own pricing page.

Sources: claude.com/pricing, code.claude.com/docs/en/overview, chatgpt.com/pricing and learn.chatgpt.com/docs, read on 5 October 2026 (links under Sources). Plans, limits and model names change; confirm on the vendor page before you buy.

How to settle it on your own code

A short protocol that keeps the comparison honest. It takes an afternoon and tells you more than any published score, ours included.

  1. Take tasks from your own backlog

    A bug you have already fixed, a refactor you have already done, a module with no tests. You know the right answer, so you can judge theirs.

  2. Freeze the inputs

    Same commit, same prompt, same files in context. If one tool reads the repo and the other gets a paste, you are not comparing models any more.

  3. Match the surface

    Chat against chat, terminal agent against terminal agent. Write down the model name each product shows and any reasoning or effort setting, because both change.

  4. Run each task at least three times

    A single output is an anecdote. Record every run, including the bad ones, before you pick a favourite.

  5. Let the machine judge first

    Compiler, type checker and test suite decide whether it works. Only then count the edits you had to make, the follow-up prompts and the usage the run consumed.

Six tasks to run on both

These are prompts and pass conditions, not results. We have not published outputs for them. Run the first three in chat and the last three in each tool's agent surface, so you compare like with like.

  • 1. A typed React hook

    Chat

    Write a React useDebounce<T> hook in TypeScript with cleanup on unmount.

    Give it

    Your React version and tsconfig strictness.

    Counts as a pass when

    Passes strict type-checking, clears the timer on unmount and when value or delay changes, and behaves under StrictMode double effects. The prompt already asks for TypeScript, so generics are required, not a bonus.

  • 2. A race condition

    Chat

    Find and fix the race condition in this async Python function that updates a shared counter.

    Give it

    The real function and a script that reproduces the bug.

    Counts as a pass when

    The reproducer fails before and passes after, over many runs. The public API is unchanged and no lock is held across unrelated awaits.

  • 3. A slow query

    Chat

    Optimize this slow SQL query on a products table with no indexes on category and price.

    Give it

    Schema, the query, EXPLAIN output, row counts and your database version.

    Counts as a pass when

    The plan changes on your real data, results are identical, and the answer states what the new index costs on writes.

  • 4. A multi-file change

    Agent in your repo

    Rename the fetchUser helper to getUser and change its return type to Promise<Result<User>>. Update every caller.

    Give it

    A clean checkout at one commit, run in each tool's agent surface.

    Counts as a pass when

    Type-check and tests pass, the diff touches call sites only, and nothing unrelated is reformatted.

  • 5. Tests for untested code

    Agent in your repo

    Write unit tests for this module. Do not change the module.

    Give it

    A module with real branches and no existing tests.

    Counts as a pass when

    Tests run, and they fail when you inject a deliberate bug by hand. Branch coverage rises and the tests do not assert on private internals.

  • 6. A bug from a stack trace

    Agent in your repo

    Here is the stack trace and the failing test. Find the root cause and fix it with the smallest change.

    Give it

    A real stack trace from your own logs and the test that reproduces it.

    Counts as a pass when

    The root cause is explained, the diff is small, a regression test is added and nothing unrelated changes.

If you want more than two providers in the test, the best AI model for coding guide shows how to widen the same exercise to other models.

Which way to lean in common situations

A decision aid built on what the vendors state. If a row points to a check, do the check before paying.

  • Your work lives in a terminal or CI

    Run both agents

    Claude Code and Codex CLI both exist. Compare them on tasks four to six, in your repo.

  • You want an agent inside VS Code or JetBrains

    Check editor support first

    Claude Code lists a VS Code extension and a JetBrains plugin. For Codex, confirm your editor in OpenAI's docs.

  • You also need image creation in the same subscription

    ChatGPT

    ChatGPT plans list image creation. Claude's plan table does not list it.

  • You keep hitting usage limits

    Read the limits before switching

    Claude chat and Claude Code share one pool with five-hour and weekly limits. ChatGPT Pro offers three usage tiers. Price the plan that covers your real hours.

  • You want a second opinion on one tricky function

    Use both in one chat

    Send the same prompt to a Claude model and an OpenAI model in ZeroTwo and keep the answer that passes your test.

Where ZeroTwo fits, and what it costs

ZeroTwo is a multi-model chat workspace, not a replacement for Claude Code or Codex. Use it for the part of the test that is chat: send one prompt to a Claude model and an OpenAI model and keep the answer that passes.

The vendors, as published

Claude Pro: $20/mo, or $17/mo billed annually

Anthropic lists Max from $100/mo for 5x or 20x Pro usage. For ChatGPT, OpenAI lists Free, Go, Plus and Pro; read its page for current prices and Codex limits.

Anthropic pricingOpenAI pricing

ZeroTwo plans

Free
100 free credits to start, +20 bonus credits each login day, no card required
Plus
$14.99/mo
Pro
$29.99/mo ($26.99/mo billed annually)

Which models each plan can use is on the pricing page. These plans buy a multi-model workspace, so they are not a like-for-like swap for a Claude or ChatGPT subscription.

Questions people ask before choosing

Is Claude better than ChatGPT for coding?

Neither is better on every task, and this page does not publish a score. What differs is the product around the model: where it runs, what it can read and run in your repo, which plan includes it and how fast you hit limits. Compare those, then run the six tasks on this page with your own code.

Why does this page not show benchmark scores?

A score depends on the exact model, the agent setup around it and the date, and both vendors keep shipping newer models. On 5 October 2026 Anthropic's pricing page listed Sonnet 5.5 and Opus 5.5 among its latest models and OpenAI's pricing page listed GPT-6 and GPT-5.6 models, so a score for an older pair says little about what you would use today. ZeroTwo has not run a matched, repeated test, so we do not show one. Public leaderboards such as swebench.com and aider.chat publish their own methods.

Do both have a terminal coding agent?

Yes. Claude Code runs in a terminal, in VS Code, in JetBrains IDEs, in a desktop app and on the web. OpenAI documents Codex as a CLI, an IDE extension, a cloud agent and part of the ChatGPT desktop app. How they behave on your repo is what the test plan measures.

Is Claude Code included in Claude Pro?

Anthropic's pricing page, read on 5 October 2026, lists Claude Code on Pro, Max, Team and Enterprise and not on Free. It shares usage limits with chat, so heavy coding sessions use the same pool as your conversations.

Does ChatGPT include Codex?

OpenAI's pricing page, read on 5 October 2026, lists Codex access as limited on Free and Go, included on Plus and expanded on Pro. Plans and limits change, so check the page before you subscribe.

Can I use Claude and OpenAI models in one subscription?

ZeroTwo's model selector includes models from Anthropic and OpenAI among other providers, and you can switch models between messages in a conversation. See the models page for the current list. ZeroTwo is a separate product with its own plans: it does not include Claude Code or Codex.

How many runs are enough?

Three per task per tool is a practical minimum, because the same prompt can produce different code each time. Record every run, including failures, and compare the pass rate as well as the best output.

Sources

Read on 5 October 2026. We link the vendor pages instead of copying numbers that will change.

Send tasks one to three to a Claude model and an OpenAI model in one chat

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