Last refreshed 2026-06-04. Next refresh: weekly.
Why use Kimi K2 Thinking on NVIDIA NIM?
NVIDIA NIM offers Kimi K2 Thinking with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Kimi K2 Thinking across 7 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: moonshotai/kimi-k2-thinkingModel ID
moonshotai/kimi-k2-thinkingRequest example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
moonshotai/kimi-k2-thinking.Gotchas
- Use provider model ID "moonshotai/kimi-k2-thinking", not the LLMReference slug "kimi-k2-thinking".
Compare Kimi K2 Thinking Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.60 | $2.50 |
| GCP Vertex AI | $0.60 | $2.50 |
| NVIDIA NIM | — | — |
| AWS Bedrock | $0.60 | $2.50 |
| OpenRouter | $0.60 | $2.50 |
Capabilities
ReasoningStructured Outputs
About Kimi K2 Thinking
Extended thinking variant of Kimi K2 with native reasoning capabilities. 256K context.
Model Specs
Released2025-01-01
Parameters1T (32B active)
Context256k
ArchitectureDecoder Only