LLM Reference
NVIDIA NIM

Kimi K2 Instruct 0905 on NVIDIA NIM

Kimi K2 · Moonshot AI

ServerlessOpen Source

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

Why use Kimi K2 Instruct 0905 on NVIDIA NIM?

NVIDIA NIM offers Kimi K2 Instruct 0905 with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Compare Kimi K2 Instruct 0905 across 2 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-0905
Model ID
moonshotai/kimi-k2-instruct-0905

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID moonshotai/kimi-k2-instruct-0905.

Gotchas

  • Use provider model ID "moonshotai/kimi-k2-instruct-0905", not the LLMReference slug "kimi-k2-instruct-0905".

Compare Kimi K2 Instruct 0905 Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$0.60$2.50
NVIDIA NIM

Pricing

TypeRate
GPU Hour Rate$1.00/GPU·hr

Capabilities

No model capability flags are currently sourced.

About Kimi K2 Instruct 0905

Kimi K2 Instruct 0905 is Moonshot AI's Kimi K2 model. It offers a 131K-token context window.

FAQ

What is the context window for Kimi K2 Instruct 0905 on NVIDIA NIM?

Kimi K2 Instruct 0905 supports a 131k token context window on NVIDIA NIM.

How does NVIDIA NIM compare to other Kimi K2 Instruct 0905 providers?

Kimi K2 Instruct 0905 is available from 2 providers. The cheapest input pricing is $0.6/1M tokens from Fireworks AI.

What API model ID do I use for Kimi K2 Instruct 0905 on NVIDIA NIM?

Use the model ID moonshotai/kimi-k2-instruct-0905 when calling NVIDIA NIM's API.

Who created Kimi K2 Instruct 0905?

Kimi K2 Instruct 0905 was created by Moonshot AI as part of the Kimi K2 model family.

Is Kimi K2 Instruct 0905 open source?

Kimi K2 Instruct 0905 is open source under MIT according to the seed data.

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Model Specs

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

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