LLM Reference

Kimi K2 Instruct on Novita AI

Kimi K2 · Moonshot AI

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Last refreshed 2026-05-22. Next refresh: weekly.

Why use Kimi K2 Instruct on Novita AI?

Novita AI offers Kimi K2 Instruct with pay-as-you-go pricing at $0.57/1M input tokens. Novita AI offers a GPU-based inference API for image, video, and language model generation with a broad catalog of open-source models.

Compare Kimi K2 Instruct across 5 providers to find the best fit for your use case
Input / 1M
$0.57
Output / 1M
$2.30
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: kimi-k2-instruct
Model ID
kimi-k2-instruct

Request example

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Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Compare Kimi K2 Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$0.60$2.50
Together AI$1.00$3.00
NVIDIA NIM
Vercel AI Gateway$0.57$2.30
Novita AI$0.57$2.30

Pricing

TypePrice (per 1M)
Input tokens$0.57
Output tokens$2.30

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 does Kimi K2 Instruct cost on Novita AI?

On Novita AI, Kimi K2 Instruct costs $0.57 per 1M input tokens and $2.3 per 1M output tokens.

What is the context window for Kimi K2 Instruct on Novita AI?

Kimi K2 Instruct supports a 131,072 token context window on Novita AI.

How does Novita AI 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 Novita AI?

Use the model ID kimi-k2-instruct when calling Novita AI'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.

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Model Specs

Released2025-09-05
Parameters1T total, 32B active (MoE)
Context131K
ArchitectureDecoder Only

GPU-Hour Providers(1)