In Claude vs ChatGPT, the difference lies not in what the two can do but in what each was designed to do well. Claude is built around text, long documents and code; ChatGPT is built as a broad platform with images, voice, web research and integrations. Send the same question to both and you get two usable answers, but once you use them every day for work, you notice that design choice in almost everything.
Below, you will find, task by task, where each model is stronger, where each falls short, what the benchmarks do and do not tell you, and which one best suits the way you work.
Claude vs ChatGPT at a glance
The table sets Claude and ChatGPT side by side on the main features, from model and context window to price and privacy.
| Feature | Claude | ChatGPT |
|---|---|---|
| Developer | Anthropic | OpenAI |
| Most capable model | Claude Fable 5.1, with Opus 5.5, Sonnet 5.5 and Haiku 5.5 below it | GPT-6 Astra, with GPT-6 Pro (powered by GPT-6 Astra) on Pro, Business and Enterprise; GPT-6 Sol by default in the regular chat, and GPT-6 Luna on Free and Go |
| Context window (paid) | 1 million tokens in the app for Fable 5.1, Opus 5.5, Sonnet 5.5 and Haiku 5.5, and 1 million through the API as well, with no price surcharge except for Haiku 5.5 above 100,000 tokens | In the app, 54,000 (Instant) and 256,000 (reasoning) on Plus, and 128,000 and 400,000 on Pro; 1.05 million tokens for GPT-6 Astra through the API, with a price surcharge above 272,000 tokens |
| Writing quality | More natural, more nuanced | Broader, more often generic |
| Coding | According to Anthropic, Opus 5.5 scores higher than GPT-6 Astra on terminal and coding tasks, incl. Claude Code | GPT-6 Astra is just ahead on business processes across multiple apps, incl. code sandbox |
| Image generation | No | Yes |
| Voice mode | Yes | Yes |
| Web research | Yes, with Research for in-depth searches | Yes, with Deep Research |
| Document analysis | Strong with long documents | Good, loses context sooner |
| Integrations | Connectors via MCP, Microsoft 365, Chrome | Plugins with apps and connectors (through the Plugin Directory since 9 July 2026), plus custom GPTs until they are phased out |
| Privacy (default) | Trains on conversations on consumer plans, opt-out available | Trains on conversations on consumer plans, opt-out available |
| Paid plans (per month) | €18 Pro (excl. VAT, €15 with annual billing), €90 Max and €180 Ultra (formerly Max 20x) | €8 Go, €23 Plus, €103 and €229 Pro, plus a more expensive Pro tier since 29 September 2026 |
| Free version | Yes, Sonnet and Haiku 5.5 | Yes, unlimited text conversations, with GPT-6 Luna as the default model |
What is the biggest difference between Claude and ChatGPT?
The biggest difference between Claude and ChatGPT starts with the philosophy of their makers. OpenAI builds ChatGPT as a broad platform. Besides text, you can use it to generate images, hold voice conversations, search the web and connect external apps to your work.
Anthropic, the company behind Claude, deliberately makes different choices. Claude does not generate images and offers a narrower range of ready-made integrations. The focus is on writing text, generating code and processing long documents, with safety and reliability as an explicit design priority of the founders, all of them former OpenAI employees.
One technical difference that stands out in practice is the context window. If you compare the apps, Claude Fable 5.1, Opus 5.5, Sonnet 5.5 and Haiku 5.5 work with a context window of 1 million tokens on the paid plans. In the ChatGPT app, the window is considerably smaller: on Plus 54,000 tokens for Instant and 256,000 for reasoning, on Pro 128,000 and 400,000.
Through the API, the windows are almost the same size. The current Claude models have 1 million tokens there, GPT-6 Astra 1.05 million. Above 272,000 tokens, however, Astra charges double the input rate and one and a half times the output rate for the entire request. With Claude, the full window costs the standard rate, except for Haiku 5.5, which charges a higher rate above 100,000 tokens.
When analysing larger documents, such as annual reports, contracts or research reports, in my experience Claude keeps track of the thread noticeably better. More context does not automatically mean the document is handled better, though: a model that can take in a million tokens will not, for that reason alone, pick out the passage that carries the most weight. That still depends on the questions you ask.
Claude or ChatGPT for writing?
For writing, choose Claude, and this is also where the difference between Claude and ChatGPT is clearest. Claude produces text that reads more naturally, matches the tone you ask for more closely and is less quick to fall back on generic phrasing. ChatGPT also produces usable text, but tends more often towards predictable openings and a somewhat robotic structure.
The difference is no accident. Anthropic has trained Claude specifically to follow instructions on style, tone and structure precisely. Give Claude a writing task with clear parameters, for example “write in a businesslike, concise way, no bullet points”, and the output matches it more closely.
My own switch from ChatGPT to Claude for most writing work had everything to do with this. Claude sticks more strictly to the instructions you give, and a side effect is that the output sounds less like AI, provided you set up the instructions well. For professional texts that go out under your own name, such as reports, policy documents, quotes and client communication, that saves me a lot of editing time.
Text that does not sound like AI also protects your reputation. For knowledge workers whose output goes out under their own name, that difference matters.
ChatGPT’s strength lies elsewhere: brainstorming. If you want to generate lots of ideas quickly, explore topics or try out creative directions, ChatGPT is broader and more playful in its suggestions. Claude usually gives fewer options, but they are more often usable straight away without much editing.
One nuance from model development affects how you steer style. When Opus 4.6 gave way to 4.7, I noticed that the answers became longer and wordier. That works better on complex writing tasks, but for shorter pieces you need to be more explicit about length and concision. A new version is therefore not automatically better for your specific work, so test it on your own tasks before you switch.
With both tools, watch out for one thing: AI-generated text always sounds convincing, even when the content is wrong. Always check facts, figures and claims against a reliable source, whichever model you use.
Claude vs ChatGPT for coding
For coding, Claude vs ChatGPT is not a clear-cut race, and since September 2026 the answer has changed. The comparison depends on which models you put side by side, because both providers released a new generation in September 2026.
The figures below come from the comparison tables the providers publish themselves: first OpenAI’s, from the announcement of GPT-6 Astra, then Anthropic’s, from Claude Opus 5.5. Each provider is quoting its competitor there, so read them with that in mind; still, they are the only places where both sides appear in one table.
Until September 2026, Claude was clearly ahead on terminal work. On Terminal-Bench 4.0, which measures coding work in a terminal, Claude Fable 5.1 scored 55.8 per cent against 37.3 per cent for GPT-5.6 Sol, OpenAI’s previous generation.
GPT-6 Astra changed that picture in September 2026. In OpenAI’s table, Astra came out on top with 57.9 per cent on Terminal-Bench 4.0, 72.6 on OSWorld 2.0 and 74.1 on DeepSWE v1.1, each time just above the Claude models OpenAI placed next to it.
Claude Opus 5.5 partly reversed that on 22 September 2026. According to Anthropic, Opus 5.5 performs at the level of Fable 5.1 on most work, at a lower cost. In Anthropic’s table, Opus 5.5 scores 66.4 per cent on Terminal-Bench 4.0 against 57.9 for Astra, and 54.4 against 53.3 on FrontierCode, a test of whether code changes are good enough to merge. On AutomationBench, which measures business processes across multiple apps, Astra is just ahead with 41.4 against 40.0. If you choose on published scores, you therefore see a different winner for each task, and outside terminal work the differences are small.
Benchmarks also tell you less about your work than the numbers suggest. They measure well-defined tasks in a controlled environment, not how well a model sticks to the conventions of your codebase or how it responds when you change direction halfway through. The figures also reflect two different development priorities: Anthropic optimises for well-considered code across multiple files, OpenAI for execution in a real environment.
In my own work, I write and debug Python with Claude for SEO workflows on my own VPS, because the model handles edge cases better and explains why something is the way it is. Claude Code, a terminal-based coding assistant included in all paid plans, can carry out tasks in your development environment independently.
ChatGPT can execute code in a sandbox, so you can run scripts directly. That is handy if you want to test a script quickly, analyse a dataset or generate a chart without opening your own development environment.
For both, the same rule applies: generated code is not necessarily correct code. During the period when I used ChatGPT intensively for code generation, I regularly came across non-existent Python functions, fake WordPress hooks and CSS properties that were not documented anywhere.
That happens less often with Claude, but even there I have occasionally seen the model invent an API call that sounds plausible but does not work. A fixed workflow with checkpoints, in which you test and review generated code before you use it, stops errors slipping into production unnoticed.
If you work within Microsoft 365, the difference between Copilot and ChatGPT also comes into play, because Copilot is more tightly integrated into the Microsoft environment.
Claude vs ChatGPT for research and analysis
In research and analysis, the difference between Claude and ChatGPT splits into two tasks that are best kept apart. Claude is stronger when you want to analyse an existing document. Upload an 80-page report and ask for a summary, a risk analysis or a comparison with an earlier document.
In my daily work, I often use Claude to analyse Screaming Frog exports, annual reports and client briefs. The difference from ChatGPT on that type of task is that Claude falls back on generic summaries less often and stays more specific to what is actually in the document.
ChatGPT is stronger when the information itself is what you are missing. Deep Research searches the web, gathers sources and produces a structured report. Claude has a comparable feature in Research. On the BrowseComp benchmark for web research, they are close: in OpenAI’s table, GPT-6 Astra scores 91.5 per cent against 90.8 for Claude Opus 5, and Anthropic published no BrowseComp score for Opus 5.5. In practice, a difference of a few tenths of a point matters less than how the feature is built and how the sources are presented.
Here the two complement each other. Claude for analysing what you already have, ChatGPT for retrieving what you are still missing. A consultant writing a market analysis can use ChatGPT to gather recent developments and Claude to structure the collected information into a coherent report.
What matters even more in research: always verify conclusions against the original sources. AI output can sound convincing but contain incorrect references, and a report with a made-up footnote does more harm than no report at all.
Where Claude and ChatGPT fall short
Claude and ChatGPT fall short in different areas, and those gaps matter more than the benchmark differences. Claude lacks features that some professionals cannot do without. There is no image generation, so for visual content for a presentation or social media you have to use another tool. The range of ready-made integrations with external services is narrower than ChatGPT’s, even though it has grown considerably through connectors and MCP.
With intensive use, you hit limits even on a paid plan. Besides the rolling five-hour window, Claude also applies a weekly limit, and you share that capacity with Claude Code and Cowork. If you work with all three all day, you notice it by the end of the week.
ChatGPT has other weak points. The writing style is generic and predictable if you do not give detailed instructions, which costs extra editing time for professional writing. In longer conversations, ChatGPT loses context sooner: it sometimes repeats earlier answers word for word or drops information from the start of the conversation.
For a long time, ChatGPT also had an issue that was harder to spot. An automatic model selector decided whether your question went to a heavier reasoning model or a lighter version, so the same prompt worked better one day than the next. Since 14 September 2026, ChatGPT on Plus and Pro no longer switches automatically from Instant to Thinking, so on those plans you now choose the reasoning level yourself.
The biggest change on the ChatGPT side affects custom GPTs. OpenAI is phasing them out and pointing users to Plugins. You can no longer create new GPTs on personal accounts, including Free, Go, Plus and Pro, and the phase-out is scheduled for all plans on 11 December 2026, with an extension to 11 February 2027 for Enterprise workspaces with an approved extension. If you chose ChatGPT for its custom GPTs, you chose a feature with an end date.
I have built several custom GPTs for SEO work myself, and what struck me was that their results in production consistently differed from those in testing. Compared with the Claude Projects I started using later, custom GPTs felt more like a watered-down version: the same basic function, but with less consistent results.
Is Claude safer than ChatGPT?
Whether Claude is safer than ChatGPT depends on what you mean by safety. On the point most people have in mind, data use, the two are closer in 2026 than their reputations suggest.
Anthropic was long known as the privacy-conscious option, but since the revised consumer terms of 2025, Claude trains on your conversations by default on the Free, Pro, Max and Ultra plans, unless you switch that off in your privacy settings. ChatGPT does the same on its consumer plans. With the default settings, then, there is no longer any real difference.
The real distinction is not between Claude and ChatGPT, but between consumer and business plans. The API, Team and Enterprise accounts fall under commercial terms and are not used for training, and on the ChatGPT side the same applies to Business and Enterprise.
If you work with client files, contracts or other sensitive data, your choice of plan matters more than your choice of brand. On a consumer plan, switch off the training setting, or work through a business plan or the API.
Three nuances are relevant for business use. Anthropic can still use conversations that its systems flag for a safety review, regardless of your opt-out, and Anthropic has not published in advance what triggers such a flag. On the other hand, conversations in incognito mode are never used for training, and an opt-out keeps the retention period at thirty days instead of the five years that apply with an opt-in.
The third nuance concerns the most capable models. Since 9 June 2026, a retention period of thirty days for safety work applies to the Mythos class, which includes Claude Fable. For Fable 5.1, that retention period is the default, but Anthropic lets eligible customers use the model with zero data retention as a transitional arrangement until Enterprise Frontier Safeguards. If a contract requires such an arrangement for your work, first check whether your organisation is eligible. According to Anthropic, Opus 5.5 is available with zero data retention, as were earlier Opus models.
Where Claude does stand apart is in the design of the model itself. Anthropic trains Claude with an emphasis on refusing harmful requests and following instructions strictly, and in practice it produces fewer made-up details in response to factual questions than ChatGPT.
More reliable output does not replace your own checks, however. Neither tool tells you of its own accord whether an answer is factually correct or a source has been represented accurately. Working safely with AI is therefore less about the tool and more about the way of working around it: check the data use before you upload anything, and verify output before you use it.
The free versions of Claude and ChatGPT compared
The free versions of Claude and ChatGPT both give you access to a lighter model, not the most capable one. You can use Claude for free with Sonnet and Haiku 5.5, but without Opus 5.5 and without Fable. File uploads, image analysis, web research, memory between conversations and the Artifacts feature are available.
Claude’s message limit applies per rolling five-hour window and depends on the length and complexity of your questions, with a separate weekly limit on top. Two long documents in a row therefore use more of your allowance than an afternoon of short questions.
On ChatGPT, GPT-6 Luna has been the default model for Free and Go since 8 October 2026, and since August 2026 those plans have had unlimited text conversations. Limits still apply to file uploads, images and other tools, so “unlimited” covers the conversation, not the work around it. OpenAI also offers a Go plan at €8 a month as an intermediate step.
In practice, the free versions of both tools are enough to get an idea of what they can do. For daily professional use, you quickly hit limits with both.
The difference lies in how that feels. ChatGPT quietly switches to a lighter model, so your output suddenly gets worse without you noticing straight away. Claude stops responding until the limit resets, which is more annoying but more honest.
If you want to find out which tool suits you best, send the same real work task, not a test question, to both free versions. Try an email you have to write anyway, a document you need to summarise or a piece of code you need. Only then do you see which model fits the way you work.
Claude Pro vs ChatGPT Plus compared
Claude Pro vs ChatGPT Plus is a close call on price: Claude Pro costs €18 a month with monthly billing, ChatGPT Plus €23 a month.
ChatGPT Plus gives you higher message limits, access to GPT-6 Sol, image generation, Deep Research, projects and scheduled tasks. On Plus, GPT-6 Astra is available in ChatGPT Work and Codex, with a shared usage limit per five hours and per week, but not in the regular chat. There, Astra powers GPT-6 Pro, which is only available on Pro, Business and Enterprise. Since 22 September 2026, GPT-6 Sol and GPT-6 Luna have also been available in Work and Codex, and since 7 October 2026 the regular chat on Plus has also run on GPT-6 Sol by default. Above that, OpenAI offers Pro tiers at €103 and €229 a month and, since 29 September 2026, a third, more expensive Pro tier, all with higher limits.
Claude Pro offers considerably more usage than the free version and access to the Opus models, including Opus 5.5 since 22 September 2026. The plan also includes Claude Code, Cowork, Design, Science, unlimited projects and Research. Fable 5.1 falls outside the standard capacity and is paid for with usage credits, so the most capable model is not included without limits.
On features, ChatGPT Plus wins: you get more features for the same money. On the quality of the core functions, especially writing and work in an editor, Claude Pro delivers better results in my experience. In my work, the quality of the output ultimately counts for more than the number of features, especially when that output is used professionally.
For teams, both platforms are priced similarly. ChatGPT Business starts at €21 per user per month, for teams of two users or more. Claude Team costs €18 per standard seat per month with annual billing (excl. VAT), for teams of two to one hundred and fifty users, above which Enterprise begins. Both guarantee that your data is not used for model training.
Why are people switching from ChatGPT to Claude?
People switch from ChatGPT to Claude for three main reasons, and benchmarks are rarely one of them. The first is writing quality. If you deliver texts under your own name every day, you notice the difference in editing time per piece, and that adds up faster than a few percentage points on a benchmark.
The second reason is predictability. Claude follows instructions more strictly, so a set of rules on tone, length and structure holds up better across multiple conversations. If you work to fixed procedures, that matters more than the number of available features.
The third reason is long documents. With case files, contracts and reports, Claude stays more specific to what is actually there, while ChatGPT moves towards a general summary sooner.
There are also good reasons not to switch. If you need image generation, work with lots of external integrations or are deeply embedded in the Microsoft ecosystem, switching means giving up features you use every day. And if you have set up ChatGPT well with clear instructions, you will get more out of it than out of a new tool that has not been set up yet.
Switching is not an all-or-nothing choice, either. Most professionals who switch keep their old subscription for a while and move their work across one type at a time. A few tens of euros a month extra stops you losing a task your old tool did better.
When should you choose Claude, and when ChatGPT?
The choice between Claude and ChatGPT depends on your work, but the general advice “it depends on your task” does not get you very far. Here is more specific advice.
Choose Claude if you write a lot under your own name and need text that reads naturally without much editing. The same goes if you regularly analyse long documents, or if you write code in an editor and want an assistant that makes fewer mistakes and handles edge cases better. Claude is also the better choice if you work with sensitive data and can use the API or a business plan, because on those plans Claude does not train on your input.
Choose ChatGPT if you want a broad platform with image generation and extensive web research. The same goes if you work in the Microsoft ecosystem, or if automated business processes across multiple apps are your main task, because that is where GPT-6 Astra is just ahead on AutomationBench. ChatGPT is also the better choice if you want to connect lots of external apps to your work.
The ability to build custom GPTs is no longer a reason to choose ChatGPT. That feature is being phased out, and on personal plans you can no longer create new ones.
Many professionals now combine both tools: Claude for the final output, ChatGPT for exploration and visual tasks. I work that way myself, with Claude as my main tool and ChatGPT for specific tasks it does better. Teams that do not want each employee to make this trade-off alone set out the division of roles between the two tools in an internal AI policy, with a fixed standard for each type of work.
Claude or ChatGPT for your work?
Four questions about your daily work. The result is based on the trade-offs in this article.
Using Claude and ChatGPT together
For many professionals, using Claude and ChatGPT together is more effective than choosing, provided you keep a clear division of roles. Use Claude for writing up reports, analysing documents, generating code and refining texts that go out under your name. Use ChatGPT for brainstorming, image creation, looking up current information and automating tasks.
One method I often use in my own work comes from my years at major banks: the four-eyes principle. Nothing goes out without a second check.
In AI work, the four-eyes principle translates into using Claude as a reviewer of ChatGPT output, or the other way round. Two models that critically read each other’s work catch more errors than one model checking its own. One warning, though: a second model that confirms the first is no proof that it is correct, because both can make the same assumption.
What neither tool gives you is a method for assessing the output. You do not automatically know whether an AI-generated text is factually correct, whether a summary is complete or whether generated code is secure. That is where most professionals get stuck: not in using the tool, but in checking the result.
Frequently asked questions about Claude vs ChatGPT
The questions below about Claude vs ChatGPT cover the choice per task, the costs, safety and whether switching is worth it.
Which is better, Claude or ChatGPT?
Claude is better for writing, long documents and work in an editor; ChatGPT is better as a broad platform with image generation, web research and integrations. On the latest published benchmarks, Claude Opus 5.5 wins on terminal and coding tasks and GPT-6 Astra is just ahead on business processes. For most knowledge workers, the question is not which is better, but which better fits the type of output they deliver.
Is Claude free to use?
Yes, you can use Claude for free with Sonnet and Haiku 5.5, including file uploads, web research and Artifacts. Opus 5.5 and Fable are not in the free version, and there is a message limit per rolling five-hour window plus a weekly limit. That is enough for occasional use, but not for daily professional work.
What context window do Claude and ChatGPT have?
On the paid plans, Claude works with 1 million tokens for Fable 5.1, Opus 5.5, Sonnet 5.5 and Haiku 5.5, and that also applies in the app. Through the API, GPT-6 Astra has 1.05 million tokens, with a price surcharge above 272,000 tokens. In the ChatGPT app, the window is smaller: on Plus 54,000 tokens for Instant and 256,000 for reasoning. A larger window means more fits in, not that the model weighs the content better.
Can I still build custom GPTs in ChatGPT?
Not on a personal account: building new custom GPTs is no longer possible on Free, Go, Plus and Pro, and OpenAI is phasing the feature out in favour of Plugins. The phase-out is scheduled for 11 December 2026 for all plans and 11 February 2027 for Enterprise workspaces with an approved extension, and existing GPTs keep working until then. The ability to build custom GPTs is therefore no longer a good reason to choose ChatGPT.
Should I switch from ChatGPT to Claude?
Switching from ChatGPT to Claude is worth it if writing quality, strict instruction-following or working with long documents are your most demanding tasks. If you need image generation or lots of external integrations, you give up features you use every day. Keeping both subscriptions for a month and comparing them by type of work costs little and gives you more certainty than any comparison on paper.
Where can I learn to use these tools responsibly in my work?
You learn to use these tools responsibly by building a way of working with fixed checkpoints, not by getting to know more features. If you use Claude for long documents and projects, the Claude Course is a good fit; if ChatGPT is your daily tool, the ChatGPT Course. In both, you learn to assess the quality of AI output before you build on it.
