Anthropic's assistant on web, desktop and mobile, covering chat, close reading, writing, Artifacts, Projects, and Cowork for longer jobs that work across your own files and the apps you connect. There is a free tier, and paid plans are priced per person.
Product comparison · Reviewed decision guide
Claude vs Kimi
Claude or Kimi: the everyday default against the heavy lifting specialist
An honest look at two products that are not competing for the same job. One is the assistant most offices can actually adopt. The other is built for very large material, long running agent work and teams who want to run the model themselves.
Useful for: Professionals in a Western office who keep seeing Kimi mentioned and want to know whether it is something they should be using, or something that solves a problem they do not have
- Reviewed
- 20 Sept 2026
- Recheck
- By
- Evidence
- 14 named sources
- Decision layer
- Product comparison
Start here
- What this helps you do
- Decide whether Claude or Kimi fits a specific job, not which one is better in general.
- What you leave with
- A defensible starting choice between Claude and Kimi and the checks that back it.
- What to check before trusting it
- Confirm before uploading that you are permitted to send this material to a third party at all.
The answer in 30 seconds
Start with the work. Use the product name second.
For ordinary office work in a Western company, Claude is the realistic default and Kimi is a specialist you reach for on purpose. Claude has a free tier, a plan your employer is likely to already understand, and web, desktop and mobile products built around documents you will send to colleagues. Kimi earns its place when the material is genuinely large or the work runs long: it takes files up to 100 MB and fifty at a time, K3 carries a one million token context on a premium membership, and Moonshot publishes the K3 weights so an engineering team can run the model on its own hardware. Kimi's membership pages describe four paid tiers starting at nineteen US dollars a month, and Moonshot's own account deletion article says some information must be kept for a statutory minimum under China's Cybersecurity Law and Personal Information Protection Law. We have not established where Kimi stores account data or which law governs it, so that is the thing to check first rather than the thing that decides it.
Moonshot AI's product family: Kimi on web and mobile for chat and agent work, Kimi Work as a desktop agent for local files, Kimi Code for developers and Kimi Claw for always on cloud automation. Membership is metered in credits that every feature draws from.
Keep the inputs, time and acceptance criteria constant. Compare the corrected result and the human effort needed to trust it.
Read this before comparing
These are products, not single models. Each brand covers chat, research, file creation and longer running agent work, and every one of those parts has its own plan requirement and its own limits. They are also not evenly matched for the same reader. Claude is sold into Western offices with a free plan and per seat team billing. Kimi is a credit metered membership with a strong agent and coding story and a company based in China, so the sensible question is not which is better but whether your work is the kind Kimi is built for.
Best fit
What each option is genuinely useful for
These are starting orientations, not personality claims or permanent rankings. The real workflow and review burden still decide.
The one most offices can actually adopt
Claude
Anthropic's assistant on web, desktop and mobile, covering chat, close reading, writing, Artifacts, Projects, and Cowork for longer jobs that work across your own files and the apps you connect. There is a free tier, and paid plans are priced per person.
A strong starting point when
- Everyday work where the output is a document, a message or a decision note
- Anyone who has to justify the tool to a manager, a client or a procurement process
- Trying the product properly before paying, since the free plan covers real work
- Producing a Word file, a spreadsheet, a deck or a PDF that colleagues will open next
Look elsewhere when
- Uploading a single file larger than the thirty megabyte ceiling per file
- Anyone whose requirement is to run the model on their own hardware
- Work that needs thousands of tool calls fanned out at once rather than one careful pass
The heavy lifting specialist
Kimi
Moonshot AI's product family: Kimi on web and mobile for chat and agent work, Kimi Work as a desktop agent for local files, Kimi Code for developers and Kimi Claw for always on cloud automation. Membership is metered in credits that every feature draws from.
A strong starting point when
- Very large or very numerous files, up to 100 MB each and fifty at once
- A single very long piece of reading or writing, where K3's million token context is the point
- Batch work and large scale search, which the Agent Cluster is explicitly built for
- Teams with an open weight requirement, since the K3 weights are published
- Turning a pile of departmental spreadsheets into one consolidated file
Look elsewhere when
- Confidential client or staff material, until someone has established where it is stored and under whose law
- Anyone who needs to know the full cost up front, since everything is metered from one credit pool
- An organisation whose procurement or data policy will not clear a China based provider
Side by side
Compare the differences that change the result
Each row gives you the practical decision rule and the human check that turns a feature difference into a defensible choice.
Claude and Kimi columnsReviewed product documentation and named practitioner evidence where included.
Choose byThe Human Bit editorial orientation, not a provider claim or independent test result.
Human checkpointThe verification or judgement a person still needs before relying on the route.
| What matters | Claude | Kimi | Choose by | Human checkpoint |
|---|---|---|---|---|
| Getting started at all | Claude's free plan costs nothing and includes chat on web, desktop and mobile, web search, file creation, code execution, memory across conversations, connected apps and Artifacts. Pro is seventeen US dollars a month billed annually, or twenty monthly. | Kimi's membership pricing page lists four paid tiers: Moderato at nineteen US dollars a month with sixty agent credits, then Allegretto, Allegro and Vivace at thirty nine, ninety nine and one hundred and ninety nine. It does not set out a free tier. | Claude's free plan lets you do real work before paying. Kimi's membership pages set out four paid tiers and do not mention a free one, which is not the same as there being none, so ask Moonshot before you assume either way. | Before you subscribe, write down the one job you are buying this for and how you will tell in a fortnight whether it did it. |
| How much you can hand it at once | Claude takes files up to thirty megabytes each. A PDF over that can still be worked on through the computing environment rather than loaded into the conversation, which is a different kind of handling. | Kimi accepts PDF, Word, Excel, PowerPoint, images, plain text and video, each file up to 100 MB, and up to fifty files in one go. This is the clearest practical gap between the two. | Choose by the size of the pile in front of you. If your material genuinely does not fit in Claude, that is a real reason to open Kimi rather than a preference. | Check that the files you are about to upload in bulk are ones you are allowed to send outside your organisation, one by one, not as a folder. |
| Holding a very long document in view | Claude is built around sustained reading and writing, and the file creation feature notes an expanded context window for conversations that lean on code execution and file creation. | Kimi's own guidance is blunt about the split: K2.6 handles roughly 128 thousand tokens a turn, while K3 offers a one million token context and premium membership is required to use it. | Choose by whether the answer depends on holding everything at once. If it does, check which Kimi plan you would be on, because the long context is not on the entry tier. | Name the three passages the conclusion actually rests on, and read those yourself whichever product produced the summary. |
| The finished file you send on | Claude creates and edits Excel spreadsheets, PowerPoint decks, Word documents and PDFs, and Anthropic says code execution and file creation is available on Free, Pro, Max, Team and Enterprise. | Kimi Docs generates long form documents such as white papers, reports, contracts and proposals, inserts comments into Word files and returns work in its original format. Kimi Sheets builds spreadsheets and exports xlsx directly in the browser. | Both produce the file. Decide by which one you trust with the underlying material, because the output format is the part neither of them gets wrong. | Open the result in the real application, not the preview, and check the formulas, headings and totals before anyone else sees it. |
| Consolidating many spreadsheets | Claude will read and rebuild spreadsheets and produce a new xlsx, but the thirty megabyte per file ceiling and the one at a time habit of a chat make a very large merge awkward. | Kimi Sheets is described for exactly this: bulk data entry from documents, consolidating multiple Excel reports, merging departmental reports into one summary, and creating files running past a thousand rows. | Choose Kimi when the task is volume and shape rather than judgement. Choose Claude when someone will be asked to defend the numbers in a meeting. | Reconcile the consolidated totals against at least two of the original files by hand before the merged version becomes the version of record. |
| Long running work that finishes on its own | Cowork is on the paid plans and reaches local files, a browser, connected apps and shell commands. Anthropic states plainly that it has unique risks because of its agentic nature and internet access, and asks you to review planned actions first. | Kimi Work is a desktop agent for knowledge workers, and where you enable computer access it can click, type, scroll, drag and read an application's interface or screenshots. Kimi Claw runs always on cloud automation, with bots for Feishu and WeChat named first. | Decide by which machine and which accounts you are willing to let an agent touch, and by whether the chat platforms it integrates with are the ones your colleagues use. | Write down what it may read, what it may change and what must stop for your approval, before the first run rather than after it. |
| Doing a great many things at once | Claude's strength is one careful pass over material, and Cowork works through a job in sequence with you able to see and stop it. | Kimi's Agent Cluster is built for fan out and supports over four thousand parallel tool calls, with K3 Cluster aimed at large scale search, batch processing and very long form writing. | Choose by whether your problem is depth or breadth. Most office work is depth. Genuine batch work is where Kimi's design shows. | Sample the output of a parallel run at random rather than reading the first few results, because a systematic error will look fine at the top. |
| What you are actually paying for | Claude prices per person: Pro, Max from one hundred US dollars a month, and Team seats at twenty US dollars annually or twenty five monthly, with premium seats higher. Usage limits sit behind the plan rather than a meter you watch. | Kimi runs on credits, and website deployment, Deep Research, Slides, Kimi Code, Kimi Work, Kimi Claw and K3 all draw from a single pool metered by token usage. Spending on one feature reduces what is left for the others, and credits reset each billing cycle. | Decide by whether you want a predictable monthly cost or a budget you actively manage. A shared credit pool rewards attention and punishes an experiment that runs away. | Before a long agent run, decide what proportion of the month's credits this job is allowed to cost, and check the balance afterwards. |
| Who may read what you typed | Anthropic says chats are used to improve the models where you have allowed it or where a conversation is flagged for safety review, that Incognito chats are not used for improvement, and that a conversation attached to thumbs up or down feedback is kept up to five years with the feedback de-linked from your account. | Kimi's account deletion article says deleted conversations, uploaded files and Memory Space data enter a deletion workflow, but that some information must be kept for the minimum statutory period under China's Cybersecurity Law and Personal Information Protection Law, for purposes such as law enforcement verification. | Settle this before the features. For work covered by a client agreement, a staff record or a regulator, the legal framework is the decision and the capability is a detail. | Ask whether you would be comfortable telling the person whose information this is exactly which company and which jurisdiction now holds it. |
| Running the model yourself | Claude is a hosted product. You reach the models through Anthropic's apps and platform, which is the ordinary arrangement and suits almost everybody. | Moonshot publishes the K3 repository and states that both the code and the model weights are released under the Kimi K3 License, with the weights distributed through Hugging Face. K2.5 and K2 are published too. | If your organisation has a genuine requirement to hold the weights, this is the whole comparison and nothing else in it matters. If it does not, this row is interesting rather than useful. | Read the licence yourself rather than treating open weights as a synonym for unrestricted, and confirm who inside your organisation would actually operate it. |
| Which model you are talking to | Anthropic's consumer plans make more models available as you move up, and the plan page is where the difference is set out rather than in the middle of a conversation. | Kimi asks you to choose: K2.6 for fast questions, K3 for the strongest overall capability and editable documents, K3 Cluster for batch and very long form work, and a thinking intensity of standard, advanced or extreme, with higher intensity costing more credits. | Choose by how much you want to be the one making that call. Kimi hands you the controls, which is useful when you know the job and a distraction when you do not. | If you changed model or thinking intensity halfway through, say so when you share the result, because the two halves were not produced the same way. |
| Retired models and the ground moving | Anthropic's consumer surfaces keep the model list on the plan page, so the practical question for most people is which plan they are on rather than which model id exists. | Moonshot's model list is explicit about what is gone: kimi-k2.5 and the moonshot-v1 series ended on 31 August 2026, the kimi-k2 series on 25 May 2026, kimi-latest on 28 January 2026 and kimi-thinking-preview on 11 November 2025, each marked no longer maintained or supported. | If anything you rely on names a specific model, check that model against the current list before you build a routine on it. | Note which model produced any result you are keeping as a record, because in a year the model may not exist to reproduce it. |
Real workflows
Try the same job through both routes
Each example includes preparation, a starter brief, a decision rule and the checks needed before the output is used.
Make sense of fifty files that arrived at once
A due diligence pack, a year of departmental reports or a research dump has landed. It is too much to read and too important to skim, and some of the files are large.
Claude route
- Split the material into batches that respect the thirty megabyte per file ceiling, and keep a list of what went into each batch.
- Ask first for an inventory: what each file is, its date, and which ones it could not read properly.
- Work batch by batch, carrying forward a running set of findings rather than starting fresh each time.
- Only once the findings are stable, ask for the note you will circulate, with the source file named against every claim.
Here is the first batch of a larger pack. Start with an inventory: for each file tell me what it is, its date, and whether you could read it properly. Do not answer my question yet. Then extract only the facts, figures and commitments, naming the exact file for each one, and keep anything you are inferring separate from anything stated. Do not summarise away exceptions. At the end, list what you would need from the remaining batches before you could answer confidently.
Kimi route
- Upload the whole set in one go, within the 100 MB per file and fifty file limits.
- Choose K3 rather than K2.6, because the point of this route is holding the pack in view at once, and check your plan covers the long context.
- Ask for the inventory and the contradictions before any analysis, same as the other route.
- Keep an eye on credits, since a long pass over a large pack draws from the same pool as everything else you use this month.
These files are one pack, not fifty separate documents. First list every file with its date and tell me plainly which ones you could not read. Then tell me where two files contradict each other, quoting both, without deciding which is right. Then extract the facts, figures and commitments with the source file named for each. Mark clearly what is stated and what you are inferring. Finish with the five things a person must read for themselves.
How to choose: Kimi is the better route when the volume itself is the obstacle, because the limits are the reason you are looking at it. Claude is the better route when the pack contains anything you would not want held under a legal regime you have not checked, which in practice covers most client and staff material.
What you still need to check
- Confirm before uploading that you are permitted to send this material to a third party at all.
- Read every contradiction the tool found in the original documents rather than in its summary.
- Check that no file was silently skipped, by comparing the inventory against your own list.
- Keep a record of which files were included, because the conclusion is only as good as that list.
Turn a dozen departmental spreadsheets into one
Every team sends its numbers in its own layout. Somebody has to make one consistent sheet out of them, and that somebody has been you for three quarters now.
Claude route
- Give it two or three files first and agree the target structure before the rest arrive.
- Ask for a reconciliation of the overlapping figures before any merged sheet is built.
- Have it produce the xlsx, then open it in Excel and check the formulas rather than the preview.
- Once the manual version has worked twice, consider a scheduled Cowork run for the recurring part.
Here are three of the twelve monthly reports. Do not merge anything yet. First tell me how each one is laid out, what the column headings mean, and where the same figure appears in more than one file with a different value. Propose a single target structure and explain what it would lose. Wait for my decision. Then build the merged spreadsheet for these three only, with a column recording which file each row came from, and tell me which figures you were least sure about.
Kimi route
- Upload all twelve at once, which is well inside the fifty file limit.
- Use Kimi Sheets, which is described for consolidating multiple Excel reports and bulk entry from documents.
- Ask for the reconciliation before the merge, in the same order as the other route.
- Download the xlsx and check it in Excel, because a file produced in a browser still has to survive your finance team.
Here are twelve monthly reports from different teams. Before merging anything, list each file's layout and tell me where the same measure appears in more than one file with different values, quoting both. Wait for my decisions on those. Then build one consolidated spreadsheet with a source column recording which file each row came from, no estimated values, and a clearly marked list of rows you could not place. Do not delete anything you could not classify.
How to choose: Kimi is genuinely suited to this shape of work and the file limits make it practical in one pass. Claude is the safer route when the numbers are commercially sensitive or feed a published report, and it is the one with a free plan you can test on today.
What you still need to check
- Resolve every reconciliation difference yourself before a merged version exists at all.
- Check the totals against at least two original files by hand.
- Decide what to do with rows that could not be classified rather than letting them disappear.
- Keep the original files, because the merged sheet is a convenience and not the record.
Read or write one very long thing
A three hundred page report, a full year of board minutes, or a manuscript you have to produce. The problem is not that there are many files. It is that there is one enormous one.
Claude route
- Check the document is inside the thirty megabyte ceiling, and split it deliberately if it is not.
- Work in stages: structure first, then section by section, then the argument across sections.
- Ask what the document does not say as well as what it does, since long documents hide their gaps in the middle.
- Keep the standing context in a Project if you will come back to this material repeatedly.
This is a single long document. Start by giving me its structure: the sections, what each one is for, and roughly how much of the whole it takes up. Do not summarise the content yet. Then work section by section in the order I give you, and after each one tell me what it changes about your understanding of the earlier sections. At the end, tell me what the document does not address that a careful reader would expect it to.
Kimi route
- Select K3 and confirm your membership covers the one million token context, since the entry tier does not.
- Put the whole document in rather than chunking it, which is the reason for choosing this route.
- Use a higher thinking intensity only where the reasoning matters, since it costs more credits.
- Ask for the structure and the contradictions before any summary, as on the other route.
This is one long document and I want you to hold all of it at once. First give me its structure with the weight of each section. Then tell me every place where the document contradicts itself or where a later section quietly changes an earlier claim, quoting both passages. Only then summarise. Keep direct quotation separate from your paraphrase throughout, and finish with the passages that carry the most consequence for a reader who can only read ten pages.
How to choose: This is the row where Kimi's design shows most clearly, and the honest answer is that a single enormous document is what the million token context is for. Claude handles long material well in stages, and staging has its own advantage, since a misreading is caught before it spreads.
What you still need to check
- Read the passages you intend to quote in the original, in full, including what comes immediately after.
- Check that a contradiction the tool found is real and not two passages written about different things.
- Decide yourself which section deserves the weight, because that is an editorial judgement about your reader.
- Record which model and which settings produced the reading, since the two routes are not interchangeable.
Answer the question of whether you may use this at work
You have found a tool that does something useful and somebody senior is going to ask where the data goes. This conversation goes better when you have already had it with yourself.
Claude route
- Read the plan page and the training policy yourself rather than describing them from memory.
- Separate the consumer position from whatever your organisation's own agreement says, because they are not the same.
- Name the specific setting, such as model improvement or Incognito, rather than making a general claim.
- Ask the assistant for the questions your security team will ask, and answer those yourself.
I need to explain to my organisation why using this tool for [type of work] is or is not acceptable. Do not reassure me. List the questions a security or privacy reviewer would ask about data handling, retention, training use, subprocessors and jurisdiction. For each one, tell me where the answer would have to come from. Mark clearly which questions you cannot answer from the published material. Do not fill a gap with a plausible sentence.
Kimi route
- Start from the account deletion article, which is where the legal framework is stated plainly.
- Establish which entity holds the account and under which law before comparing any feature.
- Ask the same reviewer questions, and expect some of them to have no published answer.
- Take the result to your own privacy or legal contact rather than deciding alone.
I am assessing whether this tool can be used for [type of work] in a [country] organisation. List the questions a privacy reviewer would ask about where data is stored, which law governs it, how long it is retained, whether it is used to train models, and who may access it. For each one, say whether the published help material answers it and quote the answer if it does. Where it does not, say so plainly. Do not guess at the answer.
How to choose: Run this before the feature comparison, not after it. For a lot of Western organisations this question closes the Kimi option for client and staff material regardless of what the product can do, and knowing that early saves a fortnight of enthusiasm.
What you still need to check
- Take the answer to whoever owns privacy or security where you work, rather than deciding it yourself.
- Check what your own client contracts say about third party processing before you rely on a vendor page.
- Distinguish what the published material states from what it simply does not mention.
- Revisit the answer when the product changes, because a policy you read once is not a permanent permission.
Practical chooser
Choose by the need in front of you
Start somewhere sensible, then move when the real work gives you evidence that the other route fits better.
I just want something that helps with normal work
Claude's free plan covers chat, web search, file creation, code execution, memory and Artifacts, so you can find out whether it helps before any money or any procurement conversation.
Consider switching when: Move to Kimi when you hit a specific wall that Kimi is built for, such as file size, file count or a single enormous document.
Check before deciding: Notice whether you are switching tools because the work demands it, or because switching feels like progress.
My files are too big or there are too many of them
Kimi takes up to 100 MB per file and fifty files at a time, against Claude's thirty megabyte per file ceiling. That is a real difference and it is the honest reason to open Kimi.
Consider switching when: Move back to Claude once the bulk pass is done and the work becomes judgement, writing and something you will put your name to.
Check before deciding: Confirm you are allowed to send this material outside your organisation before the convenience decides it for you.
The material is client, patient or staff information
Kimi's own account deletion article says some information is retained for a statutory minimum under China's Cybersecurity Law and Personal Information Protection Law, which most Western organisations will need to assess before anything else.
Consider switching when: Only after your own privacy or legal contact has looked at it and said yes in writing, not because a feature was impressive.
Check before deciding: Would the person whose information this is agree with where you are about to send it?
We need to run the model on our own hardware
Moonshot publishes the K3 code and weights under the Kimi K3 License, distributed through Hugging Face. If this is a genuine requirement, it decides the comparison on its own.
Consider switching when: Move back to a hosted product if nobody in the organisation is actually going to operate the model, because an unowned deployment is worse than no deployment.
Check before deciding: Read the licence terms yourself, and name the person who will be responsible for the running system.
One enormous document, not many files
K3's one million token context is built for exactly this, though premium membership is required. Claude reads long material well in stages, and staging catches a misreading before it spreads.
Consider switching when: Switch when the staged approach starts losing the thread across sections, or when holding it all at once is producing confident answers you cannot trace.
Check before deciding: Read the passages you plan to quote in full in the original, whichever route produced them.
I want a predictable monthly cost
Claude prices per person and puts the limits behind the plan. Kimi meters a single credit pool across Deep Research, Slides, Kimi Code, Kimi Work, Kimi Claw and K3, so one long job reduces what is left for everything else.
Consider switching when: Move to credits when your usage is genuinely spiky and you would rather buy capacity for the busy weeks than carry a seat all year.
Check before deciding: Set a limit for what a single experiment may cost before you start it, not after the balance surprises you.
The job is thousands of small things at once
The Agent Cluster supports over four thousand parallel tool calls, and K3 Cluster is aimed at large scale search and batch processing. Most assistants are not built for fan out of that shape.
Consider switching when: Move to Claude when the work turns from volume into judgement, or when a person has to be able to follow what happened step by step.
Check before deciding: Sample the output at random rather than from the top, because a systematic error looks tidy in the first few rows.
An agent that works while I do something else
Cowork reaches local files, a browser, connected apps and shell commands on the paid plans. Kimi Work is a desktop agent that can control your computer where you enable it, and Kimi Claw runs always on automation in the cloud.
Consider switching when: Stop either one when you cannot describe in a sentence what it is allowed to touch, or when failures would not show up in the output you are reading.
Check before deciding: Automate gathering and preparing first. Leave sending, paying and deleting to a person for much longer than feels necessary.
The Human Bit
An uneven comparison is more useful than a polite one.
It does not serve anybody to pretend these two products are interchangeable for the same reader. One is the sensible default for ordinary work in a Western office. The other is very good at a narrower set of things, and whether those things are your things is a question you can answer in about five minutes. The useful skill here is recognising when a real constraint, rather than curiosity, is what sent you looking.
Know which constraint sent you here
Most people arrive at an alternative tool because something blocked them: a file was too big, a job took too long, a policy said no. Naming the block turns a browsing habit into a decision you can finish.
What exactly stopped you in the tool you were already using, and would this one actually remove it?
Jurisdiction is not a technical detail
Where an account's data sits, and which law governs its retention, decides what work may go into it. That question sits above every feature and it does not become less true because a demonstration was impressive.
Have you checked the legal framework with someone qualified, or only read the marketing page?
A credit pool changes how you behave
When one balance covers research, documents, coding and agents, an experiment that runs long quietly takes capacity from the work you meant to do. That is a management problem, not a product flaw.
What is this run allowed to cost, and what will you not be able to do if it overruns?
Volume and judgement are different jobs
Fanning out across thousands of calls is a genuinely different task from thinking carefully about one thing. Tools are built for one or the other, and using the wrong one is slow rather than wrong.
Is this a task that needs breadth, or one where a single careful pass is the whole value?
Open weights are a responsibility, not a feature
Published weights matter enormously to organisations who will run them, and mean almost nothing to everybody else. The gap between wanting the option and operating it is a team and a budget.
Who in your organisation would actually run this, and have they agreed to?
Trial the thing you will depend on
Plan pages describe capability at the top tier. The feature that convinced you may need a membership level you have not priced, as with the million token context.
Is the capability you are buying this for present on the plan you are about to choose?
Limits and uncertainty
What this comparison does not prove
Access, product behaviour and the best route can change. These limits show where you should verify rather than rely on the guide.
- The Human Bit has not run controlled side by side tests of these two products on the same work. This is task based editorial guidance built from the companies' own documentation read on 20 September 2026, not a performance ranking.
- We could not establish what a free Kimi account includes. The membership pages we opened describe four paid tiers and a credit system, and do not set out a free tier, so nothing here should be read as a claim that one does or does not exist.
- Kimi's model list marks retired models as no longer maintained or supported but does not state what an application receives when it calls one. Anything you read about a specific error code did not come from that page.
- Agent limitations are referenced in Kimi's help centre but the pages we opened did not state them. Treat the agent and cluster capabilities described here as what the company says they do, not as what a careful test found.
- Plans, prices, credits, file limits and regional availability move quickly on both sides. Confirm against the account you can actually open before you build a routine on a number in this record.
- Data handling follows the account and the contract rather than the brand. A personal login, a managed workspace and a negotiated enterprise agreement can each treat the same sentence differently, on either product.