Multi-document research draft
Build a referenced synthesis from supplied sources, then check every citation.
← All models
USD / 1M tokens
Input$2.39
Cached Input$0.24
Output$11.99
- Context
- 1M
- Tool Calling
- ✓
- Reasoning
- ✓
- Vision
- ✓
- Streaming
- ✓
OpenAI-compatible API
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.iteracompute.com/v1",
api_key=os.environ["ITERACOMPUTE_API_KEY"],
)
response = client.chat.completions.create(
model="moonshotai/kimi-k3",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.iteracompute.com/v1",
apiKey: process.env.ITERACOMPUTE_API_KEY,
});
const response = await client.chat.completions.create({
model: "moonshotai/kimi-k3",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);curl https://api.iteracompute.com/v1/chat/completions \
-H "Authorization: Bearer $ITERACOMPUTE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "moonshotai/kimi-k3",
"messages": [{"role": "user", "content": "Hello!"}]
}'Catalog snapshot: 2026-10-09. Live prices have not been verified yet.
Overview
Text input, streaming and structured outputs; up to 999,999 output tokens.
Tasks and selection tradeoffs
Large-context code planning
Combine architecture notes and source excerpts to propose staged changes.
Task suggestions based on catalog features and price, not model quality benchmarks.
Choose your tool
Pricing
Prices in USD per 1M tokens.
Input$2.39
Cached Input$0.24
Output$11.99
Example task: Synthesize several long source documents
Assume 80,000 aggregate input tokens and 6,000 billable output tokens across all calls. No cache hit.
80,000 × $2.39 / 1M + 6,000 × $11.99 / 1M = $0.263140
If usage actually reports 60,000 of those input tokens as cached, replace that portion at the cached-input rate ($0.24/1M): $0.134140. Cached tokens are part of total input, never added on top.
Illustrative calculation using the October 9, 2026 catalog snapshot, not a measured bill or promised task size. Live rates above may differ. Include every agent call and retry, repeated history and billable reasoning output; settle against actual usage and Console records.
Known limits and verification scope
- The snapshot output rate is $11.99 per 1M tokens. Set a bounded answer budget and inspect reasoning usage; long agent replies can dominate cost. Vision is catalog-listed, not validated here.
- Catalog context: 1,048,576 tokens. Input and requested output share the context budget; this is not a measured usable boundary.
- The context and capability flags describe the public catalog. They do not establish a particular tool workflow or a quality score.
- Start with one representative task. Check correctness, actual usage and response time before increasing traffic.
- This page has no recorded end-to-end tool validation for this model. The integration examples let you run and record your own check.
Verified parameters and open questions
| Parameter / protocol field | Evidence status |
|---|---|
model / messages | Request example only; not live-verified for this model |
tools / tool_calls / tool messages | Catalog lists tool calling; argument and result cycle unverified |
chat_template_kwargs.enable_thinking=false | Qwen-specific option; do not copy to this model |
stream / temperature / top_p / max_tokens / response_format / reasoning_effort | No verified values recorded for this exact model ID |
A catalog capability flag is not a tested parameter value. Omit optional controls until checked with your exact model ID; an HTTP 200 alone does not prove the option took effect.
API
- Base URL
https://api.iteracompute.com/v1- Endpoint
POST /v1/chat/completions- Model ID
moonshotai/kimi-k3- Authentication
- Authorization: Bearer ITERACOMPUTE_API_KEY
FAQ
How do I use Kimi K3 with the OpenAI SDK?
Set base_url to https://api.iteracompute.com/v1 and model to moonshotai/kimi-k3. Authenticate with your IteraCompute API key.
What does Kimi K3 cost?
See the pricing section for current input, cached-input and output rates in USD per 1M tokens. Check the refresh time before use.
What context length is available?
1,048,576 tokens.
Ready for your first request?
Create your key, choose a tool and get a non-empty first reply.