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kimi-k3.1-proMoonshot AI

in /1M$2.00input tokens
out /1M$10.00output tokens
context1.0M1.0M out
trainingnoon your prompts
api
chat
hosting
China
model lab
Moonshot AI
weights
closed
added
October 2026
model id
moonshot/kimi-k3.1-pro

capabilities 5/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

pricing

no markup
input
$2.00
output
$10.00
cache write
$2.00
cache read
$0.20

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.30
1M in + 100K out$3.00
10M in + 1M out$30.00

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Nov 2

no measured traffic for this endpoint yet. pricing above is the provider's own

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
SciCode60.8
Humanity's Last Exam52.5
Intelligence Index46.0
3 evalsmean53.1

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-10-23.

policy

data terms
retention
none
trains on prompts
no
hosted in
China

Terms are the provider's, not Requesty's: routing a request here puts it under them. Moonshot Privacy Policy

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
moonshot/kimi-k3.1-pro

this id pins the moonshot ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead

main.py
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="moonshot/kimi-k3.1-pro",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

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.

questions 6

How much does kimi-k3.1-pro cost?
kimi-k3.1-pro is priced at $2.00 per million input tokens and $10.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of kimi-k3.1-pro?
kimi-k3.1-pro has a context window of 1.0M tokens, with a maximum output of 1.0M tokens per response. That is roughly 1,398 words of input you can fit in a single prompt.
How does kimi-k3.1-pro perform on benchmarks?
kimi-k3.1-pro scores 60.8% on SciCode, 52.5% on Humanity's Last Exam, 46.0% on Intelligence Index. The benchmarks pane shows every published result, each normalised to 100.
What can kimi-k3.1-pro do?
kimi-k3.1-pro supports vision input, tool calling, extended reasoning, prompt caching, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
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 "moonshot/kimi-k3.1-pro". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run kimi-k3.1-pro through Requesty?
Yes. kimi-k3.1-pro runs through Requesty's OpenAI-compatible API, served from Moonshot AI. You do not host the model yourself: point base_url at Requesty, set the model to "moonshot/kimi-k3.1-pro", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

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endpointctxin /M
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kimi-k31.0M$3.00
kimi-k2.7-code262K$0.95
kimi-k2.6262K$0.95
kimi-k2.5262K$0.60

call kimi-k3.1-pro through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

kimi-k3.1-promoonshot aiin $2.00 /1Mout $10.00 /1Mctx 1.0Mhosted China