Kimi vs Claude

For Kimi vs Claude, Moonshot AI's Kimi K3.1 Pro now matches Anthropic's Claude Sonnet 5.5 on standard fresh-input and output rates. Evaluate it when replacing a more expensive Claude model could reduce your bill without losing accepted work. Keep Claude where its existing coding workflow and business controls already justify the spend.

Kimi vs Claude: Which Should You Pick?

Choose between Claude Sonnet 5.5 and Kimi K3.1 Pro on accepted work and integration fit, and keep an established Claude workflow until the replacement passes your own acceptance checks. A cheaper model call does not automatically produce a cheaper finished task.

For a solo technical builder, Sonnet is still a sensible starting comparison. K3.1 Pro no longer costs more per fresh input and output token, but matching those rates is not a token-price reason to switch. Sonnet retains a lower cached-input rate.

For a funded founder using Opus or Fable, K3.1 Pro deserves a limited trial on repeatable work: extracting requirements, changing a bounded feature, or answering questions against supplied documents. Its lower standard rates leave room for savings, provided retries and review do not consume them.

For a CTO who must control model hosting, do not plan around downloadable K3.1 Pro weights yet. If you already operate Kimi K3, keep that deployment until the successor's weights and terms can be assessed. For a business operator already using Claude's projects, connectors and company administration, stay with Claude unless a specific Kimi capability replaces meaningful work. The small entry subscription difference cannot justify rebuilding a working process.

As of October 24, 2026, Moonshot's K3.1 Pro announcement confirms availability across its hosted products and API, with full weights promised by November 4, 2026. Prices, model names, license status and capabilities were re-verified against the live maker pages on that date. This is a source-verified comparison and computed cost analysis, not a hands-on performance test.

The last two rows matter more than a broad claim that one model is “better.” A research agent depending on Moonshot's official search tool has a different decision from a coding agent that only uses your repository and terminal.

Models and Context: K3.1 Pro's Million Tokens Are Not Every Kimi Plan

Kimi K3.1 Pro offers a verified 1,048,576-token API context, but entry coding membership does not grant the same allowance. A context window is the material a model can consider together: instructions, documents, conversation history and other request content. Capacity is useful only if the product and model you buy expose it. Moonshot's API specifications give the exact limit.

Moonshot describes K3.1 Pro as a post-trained successor to K3 in the 3T-class model family. Its quickstart documents text, image and video inputs. Those capabilities do not make its promised weights downloadable today.

Inside Kimi Code, Plus and above can select K3.1 Pro; Pro and higher enable its up-to-1M context. Inside Kimi Chat, the membership cards place up-to-1M conversations on Max and Ultra. The separately billed API has its own full context specification. These are different entitlements, even when the model name looks identical. Kimi's current model configuration and membership page distinguish them; the membership comparison still labels its extra-long Chat row K3, so confirm the selected Chat model rather than treating that label as a K3.1 Pro guarantee.

Claude's current API pricing ladder names Fable 5.1, Opus 5.5, Sonnet 5.5 and Haiku 5.5. Its plan matrix advertises context up to 1M, with a model-dependent qualification. Claude's pricing page does not give a complete per-model API context matrix, so that plan-level statement should not become a promise that every Claude model accepts the same request.

For a CTO processing a large policy library, this makes the initial check straightforward: use the exact model and access route intended for production. Then ask questions whose answers sit in different parts of the library and require citations back to the supplied text. A larger advertised window alone does not prove accurate retrieval or reasoning.

Winner: neither on advertised capacity alone. K3.1 Pro has the clearer exact API limit in the reviewed sources; Claude also advertises million-token access. Buy for the document workflow and verified answers, not the largest label.

Coding and Documents: What Moonshot's Benchmarks Establish

K3.1 Pro is a credible coding candidate in Moonshot's published results, including comparisons with Opus 5.5, but those results do not establish a blanket winner. A score for the previous K3 model cannot be carried forward to its successor.

In Moonshot's launch results, K3.1 Pro scores 65.7% against Opus 5.5's 66.4% on Terminal-Bench 4.0. On BenchCAD with tools, a test of reconstructing 3D objects through generated CAD code, Moonshot reports 92.7% for K3.1 Pro and 96.2% for Opus 5.5. For document work, Moonshot reports 64.4 on OfficeQA Pro v2 for K3.1 Pro. These are Moonshot-published results, not measurements performed for this article.

The methods qualify the numbers. Moonshot uses maximum reasoning effort by default and the Claude Code harness for its Terminal-Bench result. A harness is the software that supplies tools, manages history and runs the task. Competitor scores come from release posts or leaderboards. OfficeQA supplies the PDF corpus as images. The model name alone does not describe an identical test setup.

For a senior operator, spreadsheet manipulation and answering questions over scanned PDFs therefore deserve separate acceptance checks. A strong result on one does not establish performance on the other. For a builder, a small code change and a repository-wide repair also belong in separate groups.

Winner: Opus 5.5 leads the two cited coding and CAD comparisons; K3.1 Pro is close enough to justify evaluation. No overall winner is established by these sources. The recommendation to keep an existing Claude workflow rests on migration cost and product fit, not an invented accuracy margin.

Kimi Code vs Claude Code: The Agent Around the Model Matters

Claude wins as the default for a working Claude-based setup; Kimi Code is the documented starting point for evaluating K3.1 Pro. Kimi Code is Moonshot's programming service for reading code, editing files and executing commands through its desktop app, terminal client and VS Code extension. Its official guide also describes integration with compatible third-party coding clients.

K3.1 Pro's API supports custom tool calls, constrained structured output and dynamic tool loading. A tool call lets the model request an operation such as reading a file; your application still executes that operation and returns the result. Structured output constrains the answer's shape, useful when a downstream application expects specific fields. These are documented features, not evidence that every agent integration behaves identically. Moonshot's quickstart specifies the request contracts.

The critical migration detail is reasoning history. K3.1 Pro always thinks, and its quickstart requires you to return the complete assistant message, including reasoning and tool calls, in later turns. An adapter that saves only the visible answer can break that contract. Moonshot's current Code model guide warns against switching an existing K3 or other-model session into K3.1 Pro and says requests with thinking disabled are rejected.

For a builder's deployment agent, that means explicitly defining which files it may change, which commands need approval and when it should stop. Start a fresh K3.1 Pro session with a task brief and source files. Do not treat an old Claude conversation as a portable execution state.

Claude's pricing page lists Skills, Connectors, web search and code execution, with Claude Code included in paid plans. It also sells Managed Agents, a hosted agent runtime, separately from token usage. Those product components are part of the switching decision: a compatible model endpoint does not recreate your connectors, workspace settings or administrative policies.

Winner: Claude for continuity and a purchased agent environment; K3.1 Pro merits a trial in a custom hosted-API agent. Self-hosting the successor remains a future deployment decision. Neither recommendation requires claiming one produces better code on every task.

API Prices: K3.1 Pro Matches Sonnet and Can Reduce Opus Spend

K3.1 Pro's price advantage depends on which Claude model you replace. The following USD rates are per million tokens, before taxes, at standard processing rates. Cached input is a repeated prefix served from an existing cache; it has a separate rate from fresh input. These are regular K3.1 Pro rates, not the more expensive Highspeed variant.

Sources: Moonshot API pricing and Claude pricing. Haiku's lower rate is not evidence of equivalent task performance.

For an illustrative 100 requests with 50,000 fresh input tokens and 5,000 output tokens each, the totals are five million input and half a million output tokens. Multiplying each rate above by those totals gives:

• Kimi K3.1 Pro and Sonnet 5.5: $15.00 each.
• Opus 5.5: $30.00.
• Fable 5.1: $75.00.
• Haiku 5.5: $0.75, using its lower prompt-length tier.

K3.1 Pro is 50% cheaper than Opus and 80% cheaper than Fable, and ties Sonnet, for these equal fresh token counts. A small amount of additional engineering review can erase the saving. At larger volume the opportunity grows, but the acceptance rate still matters.

Still on K3? Its API remains listed at $3 input, $0.30 cached input and $15 output per million tokens. The same workload costs $22.50, so moving to regular K3.1 Pro saves $7.50, or one-third, before any change in token use or retries. The existing chart below is the legacy K3 baseline for that migration; it does not show K3.1 Pro.

When caching changes the comparison

Sonnet retains a cache-read advantage; Opus no longer undercuts K3.1 Pro on already-cached input. K3.1 Pro and Opus now have equal cache-read rates, while K3.1 Pro's output is cheaper. The old K3-versus-Opus crossover therefore does not apply to the new model.

For ten million already-cached input tokens and 100,000 output tokens across multiple requests, the totals are $3.00 on K3.1 Pro, $4.00 on Opus and $2.00 on Sonnet. This calculation excludes the earlier work that populated the cache. With only cached input and no output, K3.1 Pro and Opus tie; any positive output breaks that tie in K3.1 Pro's favor at these rates.

Cache creation belongs in a full budget. K3.1 Pro lists five-minute writes at $2 and one-hour writes at $4 per million tokens. Its cache guide says cache reads, writes and the uncached remainder are mutually exclusive input categories, so do not charge the same token as both a fresh miss and a cache write. Claude's displayed five-minute write rates are $2.50 for Sonnet, $5 for Opus and $12.50 for Fable.

The calculations also exclude Claude's batch discount and paid tools. Claude lists a 50% batch discount, Managed Agents at $0.08 per active session-hour plus tokens, and web search at $10 per thousand searches plus processing tokens. An application budget needs the tools it actually invokes.

Winner: a tie between K3.1 Pro and Sonnet on standard fresh input and output; Sonnet on cache reads. K3.1 Pro wins the illustrated token-cost comparisons with Opus and Fable.

Consumer Plans: A Small Entry Gap, Different Limits

Kimi Plus and Claude Pro are close enough in price that the workflow should decide. Consumer subscriptions buy access and quotas inside products; they are not interchangeable with an application's API budget.

Kimi's current international plans are Adagio at $0, Plus at $19, Pro at $39, Max at $99 and Ultra at $199 per month. Annual totals for the paid plans are $180, $372, $948 and $1,908. These USD amounts were checked in the loaded kimi.com plan cards, not converted from the separate China price list. The full plan analysis lives in Kimi pricing.

Plus includes Kimi Code, Deep Research, office work and Agent Swarm. Pro adds Goal mode and Kimi Claw; Max and Ultra allow four concurrent Agent tasks. For coding, new paid plans retain a rolling five-hour usage window and a monthly shared quota, but remove the weekly cap. Legacy subscriptions retain their earlier weekly rules. Kimi's benefits guide explains that distinction. A missing weekly cap does not mean unlimited usage.

Claude's consumer plans are Free at $0, Pro at $20 monthly or $200 annually, and Max from $100 monthly with 5x and 20x usage options. The current pricing page includes Claude Code in all paid plans and lists shared five-hour usage windows plus weekly limits on paid subscriptions. It also advertises monthly API credits on Max; confirm the included credit conditions rather than assuming all API usage is included.

Kimi Plus has a small entry-price saving, but those plans do not have identical capabilities or quotas. A builder needing K3.1 Pro's full Code context should compare the relevant Pro entitlement, not the lowest Kimi price. An operator needing extra-long Chat should check the Max entitlement and selected model instead.

For company accounts, Claude Team lists Standard seats at $25 monthly or $20 per seat-month annually, and Premium at $125 or $100 respectively. Enterprise lists $20 per seat-month annually plus API-rate usage, with a 20-seat minimum. Those are governance purchases as well as capacity purchases, not substitutes for the personal entry price.

Winner: Kimi for the small entry-price saving; Claude for a team already benefiting from its company controls. Buy a month of the needed workflow before committing to annual billing.

Hosting and Licensing: K3.1 Pro Weights Are Still Pending

K3.1 Pro is not yet a verified self-hosting choice. Moonshot's announced weights deadline is a future commitment, not a downloadable release or a settled license for the successor. Evaluate hosted access now if it fits; wait for the actual weights and terms before budgeting a deployment you operate yourself.

If you still run K3, its model card offers downloadable weights and recommends vLLM, SGLang and TokenSpeed as inference engines, the software that serves model requests. You can also use Moonshot's hosted API. Our Kimi K3 review supplies the older model's launch context, not the successor's availability status.

The older model uses the Kimi K3 License, not MIT or Apache. Its license text permits use, modification and deployment subject to conditions. Two provisions remain relevant to existing K3 operators:

• A Model-as-a-Service business whose aggregate revenue with affiliates exceeds $20 million in any consecutive twelve months needs a separate agreement before commercial use.
• A commercial product or service above 100 million monthly active users or $20 million monthly revenue must prominently display “Kimi K3.”

The license exempts its defined internal use and access through Moonshot's official products or certified inference partners from those two provisions. The definitions matter; a model-powered application and an inference-reselling business are not automatically the same case. Do not assume those terms will govern K3.1 Pro.

Downloadable also does not mean cheap to operate. Moonshot's K3 deployment discussion recommends supernode configurations with 64 or more accelerators for that older model. That is a vendor recommendation, not a universal minimum or a verified K3.1 Pro hardware specification. An existing K3 operator should include infrastructure, monitoring and on-call work when comparing a hosted migration.

For Claude, the verified route in the pricing source is hosted Claude Platform access, including a US-only inference option. That page does not offer downloadable weights or describe private deployment. Confirm any other cloud-hosting arrangement separately; this page does not specify those options.

For the wider deployment choices around these models, see the Chinese AI models comparison.

Business Data: Choose the Operator and Retention Policy

The hosting route determines who handles your data; the model's name does not. Moonshot's own Open Platform privacy policy says collected information is stored in Singapore and describes retention according to service and legal needs. Do not assume a US endpoint or zero retention from an English-language interface.

Moonshot separately says enterprise customer data is not used for training by default and offers zero data retention on request to enterprise customers. Its exceptions include batch jobs, directly uploaded images and videos, operational data, and third-party services. An API research workflow can encounter several of those exceptions.

If you currently self-host K3, moving to hosted K3.1 Pro changes who runs inference and handles request data. Your own logs, storage and tool destinations still need explicit controls; the promised weights release does not establish those terms today.

On the Claude side, the pricing page lists US-only inference at 1.1x input and output rates, no model training by default for Team and Enterprise, and custom retention controls for Enterprise. US-only inference is a location option, not a statement that every log, connector and storage feature has identical handling.

Winner: Claude for a buyer choosing its published US-only managed option; K3.1 Pro's hosted route needs to match your data requirements. Existing self-hosted K3 operators should retain that route when direct operational control is mandatory. Confirm the exact route and covered data types before sending business documents.

Claude Code vs Kimi Code: When Should You Stay?

Stay when the workflow migration costs more than the measured savings, or when your application needs a tool that the replacement cannot currently supply. A successful model call is only the start. Projects, connector credentials, file access, approvals and persisted conversation state can all require separate work.

There is also an outcome threshold. Under the equal-token example, K3.1 Pro would need at least 50% of Opus's acceptance rate to break even on token cost per accepted task, assuming independent retries and identical token counts per attempt. That is a calculated decision rule, not a measured success rate. Human review makes the requirement stricter.

The Monday move is a bounded evaluation with a reversible route back:

1. 1

   Select one repeatable job

   Choose a task with a clear accepted result, such as a small repository change with existing checks or a document extraction with known source answers. Keep the current Claude route available.

2. 2

   Choose K3.1 Pro explicitly

   In Kimi Code, use /model to select K3.1 Pro and confirm the membership context entitlement. Third-party coding clients use k3.1-pro; the separately billed platform API uses kimi-k3.1-pro. The generic kimi-for-coding identifier still maps to K2.8 Preview, so leaving a default selected does not establish a K3.1 Pro comparison.

3. 3

   Start fresh and preserve history

   Pass the task brief and required files into a new session. If integrating the API, retain complete assistant messages and matching tool results, and keep thinking enabled. Set explicit action boundaries and verify the tools the job requires.

4. 4

   Compare accepted work

   Record billed input, output, cache writes, tool charges, retries and review time. Move only the task category that passes; keep Claude for the rest. A switch from Sonnet needs an outcome or workflow advantage because the standard fresh-token rates tie.

Frequently Asked Questions

Is Kimi AI powerful than Claude?

There is no supported blanket winner. Moonshot's K3.1 Pro launch results put it close to Opus 5.5 on the cited terminal benchmark and behind Opus on the cited CAD benchmark. Those results justify evaluation, not a claim that either model is better at every coding or document task.

What is Claude in simple words?

Claude is Anthropic's AI assistant and model family. You can use the assistant through a consumer or business plan, use Claude Code through paid access, or build an application using the separately priced Claude Platform. The product and API meters serve different jobs.

How much does Claude Code cost per month?

Claude Code is included in paid plans; the current subscription prices are listed in the Consumer Plans section above. Code shares the plan's usage limits, so an included coding client is not unlimited model usage. Team and API options have separate rates.

Kimi vs Claude Code: Can K3.1 Pro work in the same coding client?

Moonshot documents an Anthropic-compatible coding API and Claude Code integration. Preserve complete reasoning and tool history, select the correct K3.1 Pro identifier, keep thinking enabled and begin a fresh session. Endpoint compatibility does not guarantee identical behavior or transfer your Claude subscription allowance.

Kimi vs Claude cost: Which is cheaper?

Kimi Plus is slightly cheaper than Claude Pro. For standard fresh-input and output tokens, K3.1 Pro matches Sonnet 5.5 and costs less than Opus 5.5 and Fable 5.1. Sonnet has cheaper cache reads; Haiku has lower rates with a different capability tradeoff. Compare the actual billing mix and accepted results.

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