Moonshot AIOpen-weight·1049K context·— params·Kimi K3 License
Kimi K3moonshot/kimi-k3
Kimi K3 is Moonshot AI's frontier model, released 2026-07-16. At 2.8 trillion total parameters (104B activated) it is the largest open-weight model published to date, with a 1,048,576-token context window, native visual understanding, and an always-on reasoning mode. Weights ship under the custom Kimi K3 License with MXFP4 quantization-aware training. Pricing is the highest of any Chinese API in this directory: cache misses cost $3.00 per 1M input tokens, but cache hits drop to $0.30, so prompt-caching discipline changes the economics by 10x.
Pricing across providers
No current verified API pricing is listed. See the official model documentation for availability and billing.
Capabilities
- chat
- code
- reasoning
- long_context
- agent
- vision
Technical specs
- Context
- 1049K
- Max output
- —
- Parameters
- —
- Release
- —
- Training cutoff
- —
- License
- Kimi K3 License
Similar models
Compare with
- Kimi K3 vs DeepSeek V3.1Comparison planned — not yet published
- Kimi K3 vs R1Comparison planned — not yet published
- Kimi K3 vs DeepSeek V3Comparison planned — not yet published
Frequently asked
How much does Kimi K3 cost?+−
No current verified API pricing is listed. This does not mean the model is free or that a hosted API is currently available. Check the official model documentation below.
How do I access Kimi K3 from outside China?+−
Availability, account verification and payment methods vary by provider and region. Check the official documentation and the selected provider's access requirements before integrating. A directory listing does not guarantee global API access.
Is Kimi K3 open-source? Can I fine-tune it?+−
Kimi K3 has published weights. License: Kimi K3 License. Review the linked repository and license for deployment, fine-tuning and commercial-use conditions.
What's the maximum context window for Kimi K3?+−
The model supports up to 1,048,576 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.