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OpenRouter

Kimi K2.5 on OpenRouter

Kimi · Moonshot AI

Serverless

Last refreshed 2026-05-11. Next refresh: weekly.

Why use Kimi K2.5 on OpenRouter?

OpenRouter offers Kimi K2.5 with pay-as-you-go pricing at $0.44/1M input tokens. OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Compare Kimi K2.5 across 8 providers to find the best fit for your use case
Input / 1M
$0.44
Output / 1M
$2.00
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-k2.5
Model ID
moonshotai/kimi-k2.5

Request example

Curated snippets for this provider are not sourced yet. Use OpenRouter documentation with model ID moonshotai/kimi-k2.5.

Gotchas

  • Use provider model ID "moonshotai/kimi-k2.5", not the LLMReference slug "kimi-k2-5".

Compare Kimi K2.5 Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$0.60$3.00
OpenRouter$0.44$2.00
Together AI$0.50$2.80
Fireworks AI$0.99$4.94
NVIDIA NIM
View all 8 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.44
Output tokens$2.00

Capabilities

Function CallingStructured Outputs

About Kimi K2.5

Moonshot Kimi K2.5 available on AWS Bedrock

FAQ

What does Kimi K2.5 cost on OpenRouter?

On OpenRouter, Kimi K2.5 costs $0.44 per 1M input tokens and $2 per 1M output tokens.

What is the context window for Kimi K2.5 on OpenRouter?

Kimi K2.5 supports a 262,144 token context window on OpenRouter.

How does OpenRouter compare to other Kimi K2.5 providers?

Kimi K2.5 is available from 8 providers. The cheapest input pricing is $0.44/1M tokens from OpenRouter.

What API model ID do I use for Kimi K2.5 on OpenRouter?

Use the model ID moonshotai/kimi-k2.5 when calling OpenRouter's API.

Who created Kimi K2.5?

Kimi K2.5 was created by Moonshot AI as part of the Kimi model family.

Is Kimi K2.5 open source?

Kimi K2.5 is open source under MIT according to the seed data.

Get Started

Model Specs

Released2026-03-15
Parameters1T (MoE, 384 experts)
Context256K
ArchitectureMixture of Experts

GPU-Hour Providers(1)