kimi-k2-0905
Kimi K2 0905 is the September update of Kimi K2 0711, a large Mixture-of-Experts model from Moonshot AI with 1 trillion total parameters and 32B active per forward pass.
Pricing: Input 120 credits / 1M tokens (≈ $0.60), Output 500 credits / 1M tokens (≈ $2.50).
Prices updated
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Kimi K2 0905 API on ModelFold
Kimi K2 0905 is the September update of Kimi K2 0711, a large Mixture-of-Experts model from Moonshot AI with 1 trillion total parameters and 32B active per forward pass. Try Kimi K2 0905 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Kimi K2 0905 API
Kimi K2 0905 at a glance
Kimi K2 0905 is a chat model from Moonshot. It accepts text as input and returns text, with a context window of up to 262K tokens.
Use it without hosting anything
On ModelFold you call Kimi K2 0905 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Kimi K2 0905
Up to 262K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Function calling
Kimi K2 0905 supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Kimi K2 0905 on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Kimi K2 0905 responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "kimi-k2-0905" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Kimi K2 0905
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
Frequently Asked Questions
What is Kimi K2 0905?⌄
Kimi K2 0905 is the September update of Kimi K2 0711, a large Mixture-of-Experts model from Moonshot AI with 1 trillion total parameters and 32B active per forward pass.
Which inputs does Kimi K2 0905 support?⌄
Kimi K2 0905 accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Kimi K2 0905?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does Kimi K2 0905 support function calling?⌄
Yes. Kimi K2 0905 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Kimi K2 0905 billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Kimi K2 0905 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "kimi-k2-0905", using your ModelFold API key as the Bearer token.
| Input | 120 credits 1M tokens≈ $0.60 |
| Output | 500 credits 1M tokens≈ $2.50 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"kimi-k2-0905","messages":[{"role":"user","content":"Hello"}]}'