Home / Compare models
A
Claude
Anthropic
- Reached for
- Long-form writing, code review, and work where following a complicated instruction exactly matters more than answering fast.
- Character
- Tends to be careful. It will say what it is unsure about rather than fill the gap, which reads as hedging when you want a quick answer and as honesty when you are about to act on it.
- Where it costs you
- That care costs speed, and on a short factual question it can give you three paragraphs where one line would do.
- Getting a key
- Paid, through an Anthropic key.
B
GPT
OpenAI
- Reached for
- Breadth: the widest tooling, the most integrations, and the model most third-party software assumes you are using.
- Character
- The generalist. Rarely the single best answer to a specialised question and rarely a bad one, which is why it ends up as the default in most products.
- Where it costs you
- Being everywhere means being tuned for everyone, so on a narrow task a specialised model often reads better.
- Getting a key
- Paid through OpenAI, or free through GitHub Models.
Where they actually disagree
The part a specification sheet cannot tell you.
Ask both to review the same pull request and you usually get two different readings: Claude flags what could go wrong and what the code assumes, GPT flags what is conventional and what the ecosystem expects. Neither is the correct review. Together they are a better one than either alone.
Which one to pick
| Pick | When |
|---|
| Claude | You are writing something someone will read closely, reviewing code before it ships, or working through a long document where following the instructions exactly matters. |
|---|
| GPT | You want the widest tool support, you are building on top of an ecosystem that assumes it, or you want one model that is competent at everything rather than excellent at one thing. |
|---|
| Both | The answer is going into something that matters and you would rather see two readings and the gap between them than trust one. |
|---|
Settle it on your own question
Every comparison you can read, including this one, is somebody else describing their
workload. The only comparison about your work is the one you run.
Agent Mesh puts Claude and GPT on the same question at the same time. Each answers
without seeing the other, then reads what the other said and states what it thinks is wrong,
and the debate converges on one answer with the disagreement left visible underneath it.
Both run on API keys that belong to you, so nothing about this goes through us and there is
no per-answer cost on our side to pass on.
Read runs other people have published, or start your own.
Try both, without paying for either
Five of the twenty-seven providers Calik AI supports give out working keys at no cost, with
no card and no trial clock. Connect two of them and Agent Mesh has something to compare.
Get a free key
Open the workspace
Questions people ask first
Is Claude better than GPT?
Not as a general statement, and anyone who says otherwise is describing their own workload. Ask both to review the same pull request and you usually get two different readings: Claude flags what could go wrong and what the code assumes, GPT flags what is conventional and what the ecosystem expects. Neither is the correct review. Together they are a better one than either alone. The comparison that settles it is the one run on your own question, which is what Agent Mesh does: both models answer, read each other, and the disagreement is left on the page.
Can I use Claude and GPT at the same time?
Yes. Calik AI keeps a separate key per provider, so both can be connected at once and Agent Mesh can put them on the same question. That is the setup we would recommend over choosing: two independent answers and the points where they contradict each other is more information than either answer alone.
What does it cost to try both?
Nothing on our side: the workspace runs on API keys you supply, so we never touch the inference bill. On the provider side it depends which two you pick. Claude: paid, through an Anthropic key. GPT: paid through OpenAI, or free through GitHub Models. Five of the twenty-seven providers we support hand out working keys at no cost, listed on the free access page.
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