Kimi K2.5
by MoonshotAIReleased Jan 27, 2026
moonshotai/kimi-k2.5- Reads images
- Calls tools
- Answers in a JSON schema
- Reasons before it answers
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...
- Input / 1M tokens
- $0.54
- Output / 1M tokens
- $2.70
- Context
- 262K
- Longest answer
- 236K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $0.54 / 1M |
| Output tokens | $2.70 / 1M |
| Cached input, read | $0.084 / 1M |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0024
- calls per $20
- 8,230
What it can do
From its listing. The router passes every field through.
- Reads imagesYes
- Reads files and PDFsNo
- Hears audioNo
- Calls toolsYes
- Answers in a JSON schemaYes
- Reasons before it answersYes
- Searches the webNo
- Caches long promptsYes
- Draws imagesNo
Call it
Any router key works, in the format your SDK already speaks.
import OpenAI from "openai";const ai = new OpenAI({ baseURL: "https://relayfor.si/api/v1", apiKey: process.env.RELAYFOR_ROUTER_KEY,});const reply = await ai.chat.completions.create({ model: "moonshotai/kimi-k2.5", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});Specifications
What its maker and providers list for it.
- Reads
- Text and Images
- Writes
- Text
- Context
- 262,144 tokens
- Longest answer
- 235,929 tokens
- Intelligence index
- 23.5 (#76 of 220 rated)
- Released
- Jan 27, 2026
- Moderation
- None
Request fields
The fields its providers accept, passed through as you send them.
- frequency_penalty
- include_reasoning
- logit_bias
- logprobs
- max_tokens
- min_p
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Questions
How much does Kimi K2.5 cost?
$0.54 per million input tokens and $2.70 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0024.
How do I call Kimi K2.5?
Make a router key for one of your tokens on the dashboard, point any OpenAI or Anthropic SDK at https://relayfor.si/api/v1 and send the model id moonshotai/kimi-k2.5. The token's AI credit pays for each call.
How long a prompt can Kimi K2.5 take?
Up to 262,144 tokens of context, and up to 235,929 tokens in one answer.
Are my prompts stored?
No. The RFS Router passes each call through and keeps only its token counts and cost, for the token's usage page.
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