LLM Reference
NVIDIA NIM

Kimi K2 Instruct on NVIDIA NIM

Kimi K2 · Moonshot AI

ServerlessOpen Source

Last refreshed 2026-06-04. Next refresh: weekly.

Why use Kimi K2 Instruct on NVIDIA NIM?

NVIDIA NIM offers Kimi K2 Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Compare Kimi K2 Instruct across 5 providers to find the best fit for your use case
Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: moonshotai/kimi-k2-instruct
Model ID
moonshotai/kimi-k2-instruct

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID moonshotai/kimi-k2-instruct.

Gotchas

  • Use provider model ID "moonshotai/kimi-k2-instruct", not the LLMReference slug "kimi-k2-instruct".

Compare Kimi K2 Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$0.60$2.50
Together AI$1.20$4.50
NVIDIA NIM
Vercel AI Gateway$0.57$2.30
Novita AI$0.57$2.30

Pricing

TypeRate
GPU Hour Rate$1.00/GPU·hr

Capabilities

ReasoningStructured Outputs

About Kimi K2 Instruct

Kimi K2 Instruct is an instruction-tuned language model from Moonshot AI, available via Fireworks AI.

FAQ

What is the context window for Kimi K2 Instruct on NVIDIA NIM?

Kimi K2 Instruct supports a 131k token context window on NVIDIA NIM.

How does NVIDIA NIM compare to other Kimi K2 Instruct providers?

Kimi K2 Instruct is available from 5 providers. The cheapest input pricing is $0.57/1M tokens from Vercel AI Gateway.

What API model ID do I use for Kimi K2 Instruct on NVIDIA NIM?

Use the model ID moonshotai/kimi-k2-instruct when calling NVIDIA NIM's API.

Who created Kimi K2 Instruct?

Kimi K2 Instruct was created by Moonshot AI as part of the Kimi K2 model family.

Is Kimi K2 Instruct open source?

Kimi K2 Instruct is open source under MIT according to the seed data.

Get Started

Model Specs

Released2025-09-05
Parameters1T total, 32B active (MoE)
Context131k
ArchitectureDecoder Only