moonshotai/kimi-k3Kimi 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...
Catalog preview and CLSSAI API routing are independent decisions with separate sources.
Exact capability metadata is available. CLSSAI can prepare the Image understanding request without guessing the model contract.
The exact model ID is listed in the current CLSSAI public directory. This proves current route eligibility, not a completed inference for every mode.
The request contract and frontend path are ready. A real recorded output has not yet been captured for this exact model and mode.
Compare published prices and endpoint capabilities. Select a provider for context limits, caching prices and supported parameters.
| $1.34 | $13 | $0.8 | -- | -- | 99.99% | |
| $1.35 | $11.36 | $0.29 | -- | -- | 100.00% | |
| $1.44 | $14 | $0.3 | -- | -- | 99.97% | |
| $1.8 | $11.2 | $0.29 | -- | -- | 100.00% | |
| $2.04 | $12.75 | $0.204 | -- | -- | 90.2% | |
| $2.25 | $11.25 | $0.225 | -- | -- | 99.94% | |
| $2.55 | $12.95 | $0.255 | -- | -- | 100.00% | |
| $2.7 | $13.5 | $0.27 | -- | -- | 99.79% | |
| $2.8 | $14 | $0.3 | -- | -- | 100.00% | |
| $2.8 | $14 | $0.3 | -- | -- | -- | |
| $2.85 | $14.25 | $0.285 | -- | -- | 99.34% | |
| $3 | $15 | $0.3 | -- | -- | 95.2% | |
| $3 | $15 | $0.3 | -- | -- | 100.00% | |
| $3 | $15 | $0.3 | -- | -- | -- | |
| $3 | $15 | $0.3 | -- | -- | 99.71% | |
| $3 | $15 | $0.3 | -- | -- | 99.78% | |
| $3 | $15 | $0.3 | -- | -- | 100.00% | |
| $3 | $15 | $0.3 | -- | -- | 97.1% | |
| $3 | $15 | $0.3 | -- | -- | 100.00% | |
| $3.45 | $17.25 | $0.345 | -- | -- | -- | |
| $4.5 | $22.5 | $0.45 | -- | -- | 100.00% | |
| $4.5 | $22.5 | $0.45 | -- | -- | 100.00% |
USD per 1M tokens. Prices and metrics describe catalog endpoints, not CLSSAI routing. “--” means no measurement was supplied. Uptime: last 30 minutes.
Published base rates across providers, in USD per 1M tokens. Actual cost depends on the provider, caching and prompt length.
Effective Pricing: request-weighted costs and historical prices are not supplied by the public source.
Latency and throughput history are not supplied by the public endpoint API. Check the catalog for its latest performance charts.
Successful requests in the last 30 minutes, as reported by the catalog. A snapshot does not show historical reliability.
No scored evaluations are included in the public model metadata. View the source for benchmarks and their methodology.
Application rankings require verified traffic data, which is not included in this source.
Historical token and request volumes are not supplied by the public API. The catalog shows activity on its own network.
Provider availability, context limits and API capabilities.
InferenceNet Fp4, Morph Fp8, Wafer, Relace Fp4, Makora, Phala, DigitalOcean, Together, Wafer (US), Sail Research Fp4, DeepInfra Bf16, Decart Mxfp4, AkashML Fp4, Chutes Mxfp4, Parasail Fp4, Modal Mxfp4, Fireworks, BaseTen Fp8, Moonshot AI Mxfp4, Alibaba, Fireworks (US), Fireworks Fast are listed in the public reference data. Check CLSSAI availability above before making a request.
The largest available context window is 1,048,576 tokens.
The providers list 20 distinct supported parameters. Open an endpoint row to inspect them.
Continue comparing models or start integrating.
