Repository-scale coding
Trace unfamiliar code, reason across files, debug failures, and propose changes with the surrounding system in view.
Kimi K3 is hereReleased July 16, 2026
K3 Kimi,Kimi K3 chat for coding and research.
Kimi K3 for demanding coding, knowledge work, research, and visual analysis. Start with 1,000 credits for $9.90 — one payment, no subscription. Text responses cost 100 credits; image chat costs 150.
One-time pack. No subscription. Secure checkout by Stripe. Independent service, not affiliated with Moonshot AI or OpenRouter.
Kimi K3
K3
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100 credits
A paid plan or credit pack is required. No signup or daily credits are granted. View plans
PNG, JPEG, or WebP · 4 MB max
Up to eight recent text messages stay in this browser when storage is available. No account sync; images are not restored. Others using this browser profile may see the conversation. New chat clears local history.
100 credits
one text response
8 messages
recent conversation sent
6,000
characters per message
One image
up to 4 MB · 150 credits
This site uses moonshotai/kimi-k3. The upstream model has 2.8T parameters, native vision and a 1M-token context window; the interface limits above still apply. Model information checked November 2, 2026 from Moonshot AI and OpenRouter.
Architecture review example
What can one 100-credit reply give you?
A written review of the context you provide: risks, proposed fixes, and tests to run. It does not execute code or inspect an unseen repository. Each follow-up text reply costs another 100 credits.
The fictional input
A payment webhook inserts an order, queues a fulfillment job, then returns 200. Both webhooks and workers can retry. Ask for three failure modes with a trigger, customer impact, small fix and test.
Illustrative review excerpt
A webhook retry could duplicate fulfillment if the same event is accepted twice. Propose an idempotency key and a repeated-event test that expects one order and one fulfillment. Check the actual implementation before applying the fix.
Written illustration, not a recorded model response or a guaranteed result.
Open the chat and choose “Review this architecture for hidden failure modes” to load the complete example. You can edit it before sending; loading it uses no credits.
Capabilities
A frontier reasoning model for long, consequential work
Kimi K3 is built for problems that require sustained attention across code, evidence, visuals, and tool feedback. K3 Kimi packages that capability in a focused chat with predictable credits.
Long-horizon reasoning
Keep the objective visible across difficult research, planning, and knowledge-work problems that require several passes.
Native visual understanding
Attach a screenshot, chart, diagram, or interface and ask Kimi K3 to reason from what is actually visible.
Agentic workflows
Draft tool plans, investigate logs, compare runtime evidence, and iterate toward a result you can verify.
End-to-end knowledge work
Move from raw evidence to a structured memo, research narrative, presentation outline, or decision-ready recommendation.
Visual software creation
Use screenshots and feedback loops to improve frontend, game, CAD, and other visually grounded engineering work.
Real workflows
Start with the job, not a bag of prompt tricks
Kimi K3 performs best when it can see the goal, the evidence, and the standard for a useful result. These are practical starting points—not canned demos.
Coding
Navigate a large repository
“Map the authentication flow, identify the trust boundaries, and propose the smallest safe change.”
Dependency map · risk notes · implementation sequence
Visual debugging
Reason from the interface
“Inspect this screenshot, explain the layout failure, and give me a testable CSS correction.”
Observed evidence · root cause · verification steps
Research
Turn evidence into a decision
“Compare these sources, separate fact from inference, and write a one-page decision memo.”
Synthesis · uncertainty · recommendation
Knowledge work
Shape a clear narrative
“Turn these notes into a ten-slide executive storyline with evidence behind every claim.”
Narrative arc · slide plan · evidence gaps
What changed inside K3
Scale is only useful when the architecture can carry it
Kimi K3 combines a 2.8-trillion-parameter mixture-of-experts model with new attention and residual designs. Moonshot’s official guide confirms that the full weights have been released (checked November 2, 2026). Use the official downloads and license when evaluating the weights.
Read the official Kimi K3 guideKimi Delta Attention
A hybrid linear-attention design intended to move information efficiently across very long sequences.
Attention Residuals
An architectural change designed to improve information flow through a model with exceptional depth.
Stable LatentMoE
Moonshot reports that K3 activates 16 of 896 experts, increasing sparsity while scaling total capacity.
How it works
A simple loop for difficult work
The interface stays intentionally small: objective, evidence, answer, correction. The sophistication belongs in the work—not in a crowded control panel.
01
State the real objective
Describe the decision, code problem, or finished artifact you need—not only its output format.
02
Add useful evidence
Paste relevant context or attach one image. K3 Kimi keeps the recent eight messages available to the model.
03
Inspect and refine
Kimi K3 uses maximum reasoning; you receive the final answer and can challenge assumptions in the next turn.
Who K3 Kimi is for
Built for people responsible for the answer
Use K3 Kimi when a shallow reply creates more work and the result has to survive review, testing, or a real decision.
Understand before changing
Map dependencies, isolate a failure, review architecture, and plan changes that respect the existing system.
Synthesize dense material
Turn long documents and conflicting evidence into conclusions, tradeoffs, and clearly marked uncertainty.
Build decision-ready work
Convert notes, tables, and visual evidence into a concise brief, model, or presentation narrative.
Move from question to plan
Stress-test a strategy, define the next actions, and expose the assumptions that could change the decision.
Kimi K3 guides
Use the model with the limits in view
Focused guides for the questions people ask before adopting Kimi K3: what it does, how to prompt it, how much context the product sends, and where it fits.
Kimi K3 features
Understand reasoning, coding, vision, long context, and the hosted product limits.
How to use Kimi K3
Structure the first prompt, improve follow-ups, use images, and verify the result.
1M context explained
Separate the upstream context ceiling from practical chat, cost, and retrieval limits.
Practical use cases
Apply Kimi K3 to code review, debugging, research, screenshots, and planning.
Independent evidence
Explore Kimi K3 benchmarks Use benchmarks to choose a test—not to skip one
Kimi K3 ranks among leading models on independent reasoning analysis. Your own tasks still decide whether its accuracy, latency, verbosity, and cost fit the workflow.
57
Intelligence Index
independent Artificial Analysis score
93.5%
GPQA Diamond
graduate-level scientific reasoning
1.99s
Time to first token
first-party API median reported by AA
Artificial Analysis values verified July 17, 2026. Benchmark results and provider performance can change.
Pricing
Choose recurring capacity or a one-time credit pack
Every paid option uses the same Kimi K3 model. Start with 1,000 credits for $9.90, or subscribe for more monthly capacity. Text responses cost 100 credits and image-assisted responses cost 150, so the allowance is visible before you buy.
Start with 1,000 credits for $9.90
One payment, no subscription. That is up to 10 text responses or 6 image responses, and the credits stay valid for 12 months.
Starter
$29.99 / month
12,000 credits / month
Up to 120 text responses
Pro
$89.99 / month
45,000 credits / month
Up to 450 text responses
Scale
Highest capacity$149.99 / month
75,000 credits / month
Up to 750 text responses
Current checkout availability is shown before any plan can be selected.
FAQ
What to know before the first prompt
Direct answers about Kimi K3, credits, open-weight status, privacy, subscriptions, and our relationship to upstream providers.
What is K3 Kimi?+
K3 Kimi is an independent hosted interface for the Moonshot AI Kimi K3 model through OpenRouter. It is not the official Moonshot AI website or an official OpenRouter product.
Which model does the chat use?+
The chat sends requests to moonshotai/kimi-k3 on OpenRouter with maximum reasoning enabled. Hidden reasoning is not displayed; you receive the final answer.
What is Kimi K3 best at?+
Kimi K3 is designed for long-horizon coding, end-to-end knowledge work, multimodal analysis, and agentic workflows. It is most valuable when a task requires sustained reasoning across code, documents, screenshots, or several related decisions.
How large is the Kimi K3 context window?+
Moonshot AI publishes a one-million-token context window for Kimi K3 (official documentation checked November 2, 2026). This interface sends up to eight recent messages, with up to 6,000 characters per message and one image up to 4 MB on the current request. The model context specification is not the upload limit of this website.
How much does a response cost?+
Chat requires an account and a paid plan or credit pack. A text response costs 100 K3 Kimi credits and a response with one image costs 150 credits. No signup credits are granted. The fixed price is shown before you send.
Does K3 Kimi train on my chats?+
K3 Kimi does not train its own model on your chats. It sends the recent conversation needed for your request to OpenRouter and the selected model provider, whose handling is governed by their policies. Review the Privacy Policy before sending confidential or regulated information.
Is Kimi K3 open weight?+
The official Kimi K3 documentation states that the full model weights have been released, as checked November 2, 2026. Check Moonshot AI’s official downloads and license before using the weights. K3 Kimi runs the hosted moonshotai/kimi-k3 model through OpenRouter.
Will my conversation be here when I return?+
Up to eight recent text messages are saved in this browser when local storage is available. They are not synced to your account or other devices, and attached images are not restored. Anyone using the same browser profile may see them. New chat clears this local conversation; clearing browser data also removes it. This does not delete requests already sent to providers.
Can I buy credits without a subscription?+
Yes. The pricing page includes one-time credit packs as well as monthly and annual subscriptions. Credit packs are useful for occasional bursts; subscriptions provide a recurring allowance for regular work.
Can I cancel a paid plan?+
Yes. You can cancel a subscription from Billing settings. Access and included credits remain governed by the paid billing term and the K3 Kimi Terms of Service.
Give Kimi K3 a problem worth thinking through.
Start with 1,000 credits for $9.90, send your first request, and see the cost before every response.