Kimi K3.1 Pro

Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, a post-trained successor to Kimi K3 built for long-horizon coding, 3D creation, financial research and agentic knowledge work.

input · usd / 1m tok

$2.00

output · usd / 1m tok

$10.00

context window

1.05mtokens

modalities · in → out

takes text and image in, gives text out

pricing

base api ratesusd per 1m tokens

input
$2.00
output
$10.00
cache read
$0.20

providers

Moonshot AI hosts Kimi K3.1 Pro. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

  • Moonshot AI

specifications

takes text and image in, gives text outmoonshotai/kimi-k3.1-pro

  • creatorMoonshot AI
  • model typeText generation
  • context window1,048,576 tokens
  • maximum outputnot published
  • input

    takes text and image in, gives text out

  • outputtext
  • tool callingnot verified
  • releasedoct 23, 2026
  • endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="moonshotai/kimi-k3.1-pro",
    input="",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

55.1#3 of 113 models on the gateway

  1. omniscience29.5#6 of 90
  2. humanity’s last exam52.5%#4 of 93
  1. AA-LCR86.3%
  2. MMMU-Pro83.9%
  3. AutomationBench Partial73.3%
  4. SciCode60.8%
  5. Humanity’s Last Exam52.5%
  6. GDP.pdf All-pass31.4%
  7. CritPt24.6%
  • Intelligence Index55.09
  • Omniscience Index29.52
  • GDPval Elo1845.72
  • legal index (API)55.8
  • economics index (API)60
  • engineering index (API)55.9
  • intelligence index (API)55.1
  • strategy and ops index (API)59.4
  • finance and accounting index (API)56.5

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-10-23.

compare Kimi K3.1 Pro with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

impossibl models --all →

frequently asked questions

What is Kimi K3.1 Pro?

Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, a post-trained successor to Kimi K3 built for long-horizon coding, 3D creation, financial research and agentic knowledge work. It always reasons, with a selectable effort level, and is the first model in the K3.1 series.

How much does Kimi K3.1 Pro cost?

Kimi K3.1 Pro costs $2.00 per million input tokens and $10.00 per million output tokens through the Impossibl API. Cache reads cost $0.20 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of Kimi K3.1 Pro?

Kimi K3.1 Pro has a 1,048,576-token context window through the Impossibl API.

What inputs and outputs does Kimi K3.1 Pro support?

Kimi K3.1 Pro accepts text and image as input. Kimi K3.1 Pro returns text.

How do I use Kimi K3.1 Pro through an API?

Kimi K3.1 Pro is available through the Impossibl API. Use moonshotai/kimi-k3.1-pro as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was Kimi K3.1 Pro released?

Moonshot AI released Kimi K3.1 Pro on October 23, 2026.

this page describes Kimi K3.1 Pro as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

view the source catalog ↗model as markdown ↗report a correction →