kimi-k3.1-pro
Moonshot AI/Proprietary/1 provider
Kimi K3.1 Pro is the first model in the K3.1 series and Kimi's most capable flagship to date, a 3T class model with native visual understanding and a 1M token context window. It brings substantial gains in coding, 3D creation, financial research and modeling, and suits software engineering, knowledge work and deep reasoning.MoreLess
Which id to call
kimi-k3.1-proRequesty routes this id across every provider serving kimi-k3.1-pro, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
From /1M input
$2.00
Moonshot AI
Context
1.0M
1.0M output
Endpoints
1
1 region
Regions
1
chat
Capabilities 5/8
1 endpoint / 1 region
Providers serving kimi-k3.1-pro
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 | Moonshot AI | Global | 1.0M | $2.00 | $10.00 | $0.20 | zdr |
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.
kimi-k3.1-proRequesty routes this id across every provider serving kimi-k3.1-pro, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
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.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="kimi-k3.1-pro", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
6
More from Moonshot AI
Reference
kimi-k3.1-pro questions
Which providers serve kimi-k3.1-pro?
kimi-k3.1-pro is available from 1 provider through Requesty: Moonshot AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does kimi-k3.1-pro cost?
Pricing starts at $2.00 per million input tokens and $10.00 per million output tokens on Moonshot 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-k3.1-pro open weights?
No. kimi-k3.1-pro is a proprietary model from Moonshot AI, served through Moonshot AI's own API and licensed cloud platforms.
What is the context window of kimi-k3.1-pro?
kimi-k3.1-pro supports up to 1.0M tokens of context, with up to 1.0M output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use kimi-k3.1-pro 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 "kimi-k3.1-pro" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Should I call kimi-k3.1-pro by its managed id or a provider id?
Use the managed id, "kimi-k3.1-pro". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "moonshot/kimi-k3.1-pro" only when you need one specific deployment and want no failover.
Route kimi-k3.1-pro through one endpoint
One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.