logo
moonshotText Chat

Kimi K3 AI Chat Playground and API

Try Kimi K3 online for long-context codebases, research collections, document review, and agent memory through an OpenAI-compatible Chat Completions API.

Input 300 credits / 1M tokens · Output 1,500 credits / 1M tokens
Run with API
Kimi K3
kimi-k3
Streaming
AIReiter
How can I help you today?

Model details

Use the same model key in Playground, API requests, and internal workflows.

Model ID
kimi-k3
Provider
moonshot
Protocol
OpenAI Chat Completions · Anthropic Messages · OpenAI Responses
max_tokens
4,096
Input tokens
300 credits / 1M
Output tokens
1,500 credits / 1M

What You Can Do with Kimi K3

Choose Kimi K3 when context is the bottleneck and one request needs to carry a large working set of code, documents, evidence, or agent history.

Long-Context Review

Keep large codebases, document collections, or research evidence together in one working context.

Repository Analysis

Trace relationships across files and discuss changes with more of the project state available.

Research Synthesis

Compare claims across many notes and sources before producing a structured conclusion.

Agent Memory Evaluation

Review long tool traces and prior decisions to find where an automated workflow went wrong.

Kimi K3 Use Cases

Best suited to workflows where preserving more evidence in the prompt can avoid premature chunking, retrieval, or loss of project state.
01

Codebase Review

Analyze more repository context in a single request.

02

Long Document Sets

Review contracts, policies, reports, or research collections.

03

Agent Trace Analysis

Inspect long tool histories and retained state.

04

Context-Heavy Prototypes

Test whether more context improves results before building retrieval.

How to Use Kimi K3

Test the model in three straightforward steps.
01

Choose Your Settings

Set the response controls and upload options supported by the model.

02

Send a Prompt

Describe the task, add relevant context, and review the streamed response and token usage.

03

Connect the API

Use the documented endpoint and your API key to bring the same model into your product.

Build with the Kimi K3 API

Go from an interactive test to a production integration with predictable controls and usage reporting.

Familiar Protocols

Use the API protocol configured for this model, including streaming where available.

Usage Visibility

Track input tokens, output tokens, and consumed credits after each response.

Model-Specific Controls

Pass the supported generation parameters instead of relying on generic defaults.

One Account and Balance

Test and operate supported text models through the same AIReiter account and billing system.

Kimi K3 FAQ

Common questions about the online playground, pricing, and API access.
What is Kimi K3 best for?

Use it when a request needs a large working set of code, documents, research evidence, or agent history.

What context window is available for Kimi K3?

AIReiter lists Kimi K3 with a 1,048,576-token context window; validate client limits and timeouts before sending very large requests.

Can I call Kimi K3 with an OpenAI-style client?

Yes. AIReiter exposes it through an OpenAI-compatible Chat Completions endpoint.

How is Kimi K3 priced?

Current input, cache-read, and output token rates are displayed by AIReiter; confirm them before production use.

When should I choose a smaller model instead?

Use a lighter model for short, stateless requests that do not benefit from Kimi K3 long-context capacity.