Plans, Tokens, API Costs
Kimi AI Pricing
Simple plans for every workflow. Choose a membership for powerful features in the Kimi app, or use token based API billing when you’re building products and automations.
Tip: If you use Kimi daily for research and coding, membership offers predictable monthly value. If you’re integrating Kimi into an app, API pricing gives flexible, usage based control.
App Membership
Get premium access, higher usage limits, and priority features ideal for creators, students, and daily power users.
API Pricing
Pay only for what you use. API costs are based on input and output tokens, making it easy to scale from prototypes to production.
Kimi AI Pricing vs Other AI Tools
| Tool | Typical paid plan | Best for | What stands out |
|---|---|---|---|
| Kimi AI (Moderato) | $19/mo | Design→code + “agentic” tasks | Includes monthly quotas for Deep Research + “OK Computer” + weekly Kimi Code requests; API fees not included |
| ChatGPT Plus | $20/mo | All-rounder (writing, coding, images, tools) | Strong general assistant + broad feature set in one place |
| Claude Pro | $20/mo (or $17/mo billed annually) | Writing + coding + long context work | Great for documents, structured writing, and project-style workflows |
| Google Gemini (AI Plus) | $7.99/mo | Cheaper upgrade in Google ecosystem | Often bundled with storage + Gemini features in Google apps |
| Google Gemini (AI Pro) | $19.99/mo | Higher limits + creator tools | More access to advanced Gemini + credits/tools depending on region |
| Perplexity Pro | $20/mo or $200/yr | Research with citations / browsing | Best “answer + sources” experience for web research |
| Microsoft 365 Premium (with Copilot) | $19.99/mo | Word/Excel/PowerPoint productivity | Copilot inside Microsoft apps + Office suite bundle |
| Poe (multi-model access) | from $4.99/mo | Trying many models cheaply | One subscription to use multiple model providers via points |
What you’re really paying for
1) Kimi AI ($19/mo) vs the “$20 club”
Kimi’s Moderato tier is basically priced like the common premium plans, but it’s positioned around work quotas (Deep Research, OK Computer, Kimi Code). It also clearly says API usage fees are not included so app membership ≠ API costs.
If your main workflow is design → code, UI generation, and agent-like tasks, Kimi can feel more “purpose-built” than general chat plans.
2) If you want the most “all-in-one” assistant
ChatGPT Plus ($20/mo) is typically the easiest “one subscription that does a bit of everything” choice.
If you do mixed tasks (writing + coding + images + file work), it’s usually the most balanced.
3) If you mainly write, edit, or code with long docs
Claude Pro ($20/mo monthly) is often chosen when your workflow is heavy on documents, writing quality, and structured outputs.
4) If you live inside Google products
Gemini/Google AI plans can be great value if you already want Google storage and Google-app integration. There’s also a cheaper tier (AI Plus) and a higher one (AI Pro) depending on your needs/region.
5) If your main goal is “research with sources”
Perplexity Pro ($20/mo) is often the best deal when you care about citations, browsing, and fast research summaries.
6) If you want AI inside Word/Excel/PowerPoint
Microsoft 365 Premium ($19.99/mo) is strongest when you actually use Office every day and want AI directly in those apps.
7) If you want the cheapest way to access many models
Poe is usually the budget option if your goal is to try lots of models without paying each company $20.
Kimi AI Pricing (2026): Plans, Tokens, API Costs, and How to Pick the Best Value
“Kimi” can mean a few different things depending on how you use it:
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The consumer app (chat + tools like deep research, document helpers, etc.) that runs on Kimi’s official site and apps, built by Moonshot AI.
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Developer/API access (token-based billing) used inside products, agents, or your own app.
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Open-weight model usage via third-party providers (where pricing is set by the provider, not necessarily identical to Kimi’s own billing).
That’s why “Kimi pricing” can feel confusing at first: membership pricing is usually monthly/annual, while API pricing is usually per token and the two aren’t always bundled.
This guide breaks it down in a practical way so you can answer:
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How much does Kimi cost for normal daily use?
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How much will it cost if I build something with the API?
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Which option is cheapest for my specific workload?
What “pricing” really means for Kimi
Before looking at numbers, it helps to know what Kimi is charging for.
1) Membership pricing (for end users)
Membership is usually a flat subscription that unlocks quotas and priority access for premium features.
For example, Kimi’s “Moderato Monthly Membership” is listed as $19/month in Kimi’s own event rules page, and it explicitly says API usage fees are not included.
So: membership is about premium app features + higher limits, not “unlimited API”.
2) API pricing (for builders)
API usage is typically pay-as-you-go, most often charged by:
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Input tokens (what you send)
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Output tokens (what the model generates)
A third-party provider listing for Kimi K2.5 on OpenRouter shows token pricing and context length (useful as a market reference for developers): $0.50/M input tokens and $2.80/M output tokens (as displayed on that page at the time of writing).
Important: token prices can change quickly. Treat these as “current snapshot” numbers, and always verify on the billing page you actually plan to use.
3) Third-party “Kimi” sites and look-alikes
You’ll also see unofficial sites that present “Kimi pricing” but aren’t the official billing source. When writing your article or building a pricing page, it’s smart to:
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Label clearly whether you’re quoting official Kimi pricing or a provider’s pricing,
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Keep a visible “prices may change” note,
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Link readers to the page they’ll be billed from (official site or provider).
The official Kimi membership: what you get for $19/month
Kimi’s “New User First-Month Deal Bargain” event rules include an appendix listing what the Moderato Membership includes, and it states the regular renewal price is currently $19/month.
Moderato membership benefits (from Kimi’s rules page)
According to the appendix:
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20 deep research uses per month
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Up to 2 concurrent deep research tasks
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20 OK Computer uses per month
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Up to 2 concurrent OK Computer tasks
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2048 Kimi Code requests per week
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API usage fees not included (paid separately)
That tells you two big things:
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Kimi is packaging “tool experiences” as quotas (research runs, “OK Computer” runs, coding requests).
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Membership is primarily for power users who regularly run those tools, not just casual chat.
China pricing (RMB) vs international pricing (USD)
Kimi also publishes a Chinese “membership benefits” page that includes RMB price points (e.g., ¥49/month and ¥99/month shown in the search snippet).
Separately, the international event rules page shows $19/month for Moderato outside mainland China.
In plain terms: don’t assume the price is identical across regions. Different SKUs, taxes, payment rails, and promotions can mean different numbers.
Kimi API pricing: how token billing works
If you’re building a product or automations, token billing is the part that matters most.
The two-token-meter reality
Most LLM billing has two meters:
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Input tokens: your prompt, system instructions, conversation history, retrieved documents
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Output tokens: the model’s generated response
Output is often priced higher because generating tokens is compute-heavy and can’t be cached as easily.
A real-world reference point (OpenRouter listing)
The OpenRouter listing for Kimi K2.5 shows:
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Created date (helpful for version context)
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Context window
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Input/output price per million tokens
Even if you don’t use OpenRouter, these listings help you sanity-check the market.
Another market snapshot (ArtificialAnalysis)
Artificial Analysis lists Kimi K2 pricing as $0.60 per 1M input tokens and $2.50 per 1M output tokens (at the time of that listing).
Again: the billing source you use is what matters but you can use market listings to estimate cost ranges before you commit.
A practical “Kimi cost calculator” you can do in your head
Here’s a simple way to estimate your monthly API spend without getting lost.
Step 1: Estimate tokens per request
Rough rules of thumb (not exact, but useful):
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1,000 tokens is ~700–800 English words (varies)
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A “normal” chat answer might be 200–800 tokens output
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A long, structured response could be 1,500–3,000+ output tokens
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If you paste big documents or keep long chat history, input tokens can dominate
Step 2: Multiply by your request volume
Example workloads:
A) Customer support bot
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50,000 chats/month
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Average input: 800 tokens
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Average output: 250 tokens
B) Content generator
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2,000 articles/month
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Average input: 2,500 tokens (outline + instructions + sources)
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Average output: 2,000 tokens
C) “Deep reasoning agent”
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10,000 tasks/month
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Average input: 4,000 tokens (tools + memory + retrieved docs)
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Average output: 1,200 tokens
Step 3: Apply the prices you’re actually billed at
Using the OpenRouter reference for K2.5 (as an example): $0.50/M input and $2.80/M output.
Now you can estimate:
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Monthly input tokens = requests × avg input
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Monthly output tokens = requests × avg output
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Cost = input_tokens/1,000,000 × input_price + output_tokens/1,000,000 × output_price
If you want this in a sentence for readers:
“API pricing scales with volume and length; output tokens usually cost more than input tokens, so long answers are what move the bill.”
Membership vs API: which one is cheaper for you?
Pick membership if
You’re using the Kimi app as your main interface and you:
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Run “deep research” regularly,
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Rely on “OK Computer” type workflows,
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Want priority access during peak times,
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Use Kimi Code heavily (the membership quota is explicitly listed).
Membership is predictable: you know what you’ll pay, and you manage within quotas.
Pick API if
You’re:
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Building a product,
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Integrating into a workflow tool,
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Running automations,
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Or need programmatic access (custom UI, logging, routing, tooling).
API is flexible: you pay exactly for what you use, but costs can spike if prompts/outputs grow.
A common “best of both” setup
Many power users do both:
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Membership for personal productivity and deep research,
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API for their app, internal tools, or high-volume automation.
Kimi’s own rules page reinforces this separation by saying API usage fees are not included with membership.
What drives Kimi costs up
If you’re writing a strong “pricing” article, this section is where you sound like a real user not a brochure.
Cost driver #1: Long context windows
If you keep a huge conversation history attached to every request, your input tokens explode.
Fix: summarize older context or store it externally and retrieve only what you need.
Cost driver #2: “Write a 3,000-word answer” requests
Long outputs are expensive because output tokens are pricier.
Fix: generate in parts, or ask for a structured outline first, then expand only the sections you’ll publish.
Cost driver #3: Tool calling and research loops
“Deep research” style tasks can call tools repeatedly, increasing tokens and tool charges depending on platform.
Kimi’s membership model explicitly caps deep research uses/month, which is basically a “cost control” mechanism.
Cost driver #4: Rework
If your prompt is vague, you’ll regenerate multiple times.
Fix: tighter prompt templates, clear constraints (tone, length, sections), and examples of what “good” looks like.
How Kimi compares to other paid AI subscriptions
Readers always want a reference point.
Kimi’s $19/month figure for Moderato lines up with the “typical premium assistant subscription” category.
That puts it psychologically near what people associate with paid assistants such as OpenAI’s ChatGPT subscription or Anthropic’s Claude subscription (prices vary by region and time).
For your article, the most honest framing is:
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Membership pricing is competitive with mainstream premium AI plans.
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The differentiator is whether you value Kimi’s specific tool bundle (deep research, OK Computer, Kimi Code quotas) and Kimi’s model behavior.
Pricing scenarios: what should different users choose?
1) Students and casual users
If you mainly do:
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Quick Q&A,
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Summaries,
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Brainstorming,
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Short writing,
then a free tier (if available in your region) or limited usage can be enough. Upgrade only when you hit caps frequently.
2) Creators and marketers
If you:
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Generate lots of posts,
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Need consistent long-form drafting,
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Want research workflows,
Membership can be worth it if it saves time and keeps you inside a predictable monthly spend (especially if you lean on deep research runs).
3) Developers and startups
If you:
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Embed Kimi in an app,
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Need routing, logging, or guardrails,
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Have variable traffic,
API billing is usually the right base layer. Use market token prices as a planning estimate (e.g., OpenRouter’s K2.5 listing).
4) Agencies and heavy automation
If you’re generating at scale:
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Batch content,
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Multi-agent workflows,
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Large document processing,
You must treat tokens like a COGS line item:
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Measure tokens per task,
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Cap maximum output length,
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And standardize prompt templates.
Kimi pricing FAQs
Is Kimi free?
Kimi often offers free access in some form depending on region and product surface, but premium features and higher quotas are gated behind membership, and API is typically paid usage. The membership rules page is explicit that subscription exists and renews at $19/month for Moderato (in the context of that event).
How much is Kimi Pro / membership?
One published reference inside Kimi’s own rules pages lists Moderato Monthly Membership at $19/month (auto-renewal).
China-region membership pricing appears in RMB on Kimi’s membership benefits documentation snippet (e.g., ¥49/month and ¥99/month).
Exact plan names and bundles can differ by region.
Does membership include API?
Kimi’s event rules page says: “API usage fees are not included and must be paid separately.”
How much does the API cost?
It depends on the billing provider and model. A developer-facing reference is the OpenRouter listing for Kimi K2.5 showing per-million token prices.
Other model tracking sites also publish snapshots (e.g., ArtificialAnalysis for Kimi K2).
Why is output token pricing higher?
Because generating tokens requires more compute and is harder to optimize or cache. In practice, long answers usually drive spend.
What’s the cheapest way to use Kimi for writing?
If you’re writing inside the app and frequently hit tool limits, membership can be cheaper than repeated API calls. If you’re writing through automation at scale, API is usually the right fit but you must control output length.
What if I only need Kimi occasionally?
Avoid subscriptions until your usage is frequent enough that the time saved and higher quotas justify it. If you build with API, set hard monthly budgets and max token limits.
How to write a “pricing” page that ranks and converts (SEO + trust)
Since you asked for a human, well-targeted long article, here’s what typically makes a pricing page perform:
Include these sections (high intent)
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“Plans & pricing” (membership)
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“What’s included”
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“Who each plan is for”
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“API pricing explained” (tokens)
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“Cost examples”
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“How to save money”
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“FAQ”
Add trust signals
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Clear region note (“pricing varies by country/region”)
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“Last updated” date (important for pricing)
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Source citations to official pages whenever possible (like the Kimi rules page)
Use comparison language carefully
Don’t claim “cheaper than X” unless you can keep it updated. Better: “priced similarly to premium AI subscriptions” and focus on feature differences.
Key takeaways
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Kimi membership is a subscription that unlocks premium tool quotas and convenience. One official published example shows $19/month for Moderato (outside mainland China, in the context of the event rules).
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Kimi API is token-based and varies by provider; market listings like OpenRouter and ArtificialAnalysis provide useful planning snapshots.
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The fastest way to reduce cost is to control output length, reduce repeated rework, and avoid sending huge conversation history every time.