Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
Context
1.05M
Max output
—
Input from
$3 / M
Output from
$12.75 / M
Fastest
3474 tok/s
Released
Jul 2026
Waterfall
| Status | ||||||
|---|---|---|---|---|---|---|
| Fireworks via Experiential Cloudexperiential | — | — | — | $3 | $15 | active |
| Azure Foundry via Experiential CloudexperientialFW-Kimi-K3 | — | — | 100% | $3.30 | $16.50 | active |
| Tencent Cloud via Experiential Cloudexperiential | — | — | — | $3 | $15 | active |
| Wafer via Experiential Cloudexperiential | — | — | — | $3 | $12.75 | active |
| Azure FoundryKimi-K3 | — | — | 100% | — | — | active |
| Azure FoundryKimi-K3-2026-07-29deployed 2026-07-29 | — | — | 100% | — | — | active |
Supported parameters
primary routeSampling
Tools & structure
Streaming
Limits
not supported on every route — the gateway adapts or drops it (with a warning) on stricter providers.
Shown for the primary route; fallback routes may differ. Sending an unsupported field? See error reference.
Azure OpenAI docsQuickstart
I want you to route my LLM calls for "kimi-k3" through the Experiential gateway instead of calling the provider directly. It speaks the OpenAI Chat Completions API, so this is a base-URL and key swap. Please: 1. Point the client at https://api.experientiallabs.ai/v1 as the base URL. 2. Authenticate with my Experiential API key from the EXPLABS_API_KEY environment variable. If it isn't set, stop and tell me to create one under Settings -> API keys and export it. 3. Use the model id "kimi-k3" exactly. 4. Update every place my code builds an LLM client for this model to use that base URL and key, leaving streaming and tool-calls as they are. 5. Make one test call and show me the reply plus the token usage, so we confirm it runs on my Experiential credits. Tell me which files you changed.
Set EXPLABS_API_KEY to an organization API key before running your agent.
Benchmarks
Hugging Face