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kimi-k2-instruct

Moonshot AI/Open weights/1 provider

Kimi K2 Instruct

Which id to call

novita/moonshotai/kimi-k2-instruct

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

From /1M input

$0.57

Novita AI

Context

131K

tokens

Endpoints

1

1 region

Regions

1

chat

Capabilities 1/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

1 endpoint / 1 region

Providers serving kimi-k2-instruct

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving kimi-k2-instruct, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1Novita AIGlobal131K$0.57$2.30$0.57zdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

novita/moonshotai/kimi-k2-instruct

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="novita/moonshotai/kimi-k2-instruct", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

GPQA Diamondreasoning
83.8%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
22.0%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

6

More from Moonshot AI

Reference

kimi-k2-instruct questions

Which providers serve kimi-k2-instruct?

kimi-k2-instruct is available from 1 provider through Requesty: Novita AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does kimi-k2-instruct cost?

Pricing starts at $0.57 per million input tokens and $2.30 per million output tokens on Novita AI, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is kimi-k2-instruct open weights?

Yes. kimi-k2-instruct is an open-weights model from Moonshot AI, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.

What is the context window of kimi-k2-instruct?

kimi-k2-instruct supports up to 131K tokens of context. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use kimi-k2-instruct with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/moonshotai/kimi-k2-instruct" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Route kimi-k2-instruct through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings