kimi-k3.1-proMoonshot AI
- endpoints
- 1
- regions
- 1
- api
- chat
- released
- October 2026
capabilities 5/8
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  Moonshot AI | Global | 1.0M | $2.00 | $10.00 | $0.20 | zdr |
no measured traffic for this model yet. the endpoints table above carries provider pricing
| eval | Score as a share of 100 | /100 |
|---|---|---|
| SciCode | 60.8 | |
| Humanity's Last Exam | 52.5 | |
| Intelligence Index | 46.0 | |
| 3 evals | mean | 53.1 |
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.
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
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
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="kimi-k3.1-pro", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
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
Which providers serve kimi-k3.1-pro?
How much does kimi-k3.1-pro cost?
Is kimi-k3.1-pro open weights?
What is the context window of kimi-k3.1-pro?
How do I use kimi-k3.1-pro with the OpenAI SDK?
Should I call kimi-k3.1-pro by its managed id or a provider id?
more from moonshot ai 6
| model | context | from /M | providers |
|---|---|---|---|
| kimi-k3.1-pro-highspeed | 1.0M | $4.00 | 1 |
| kimi-k3 | 1.0M | $3.00 | 7 |
| kimi-k2.7-code-highspeed | 262K | $1.90 | 1 |
| kimi-k2.7-code | 262K | $0.75 | 5 |
| kimi-k2.6 | 262K | $0.60 | 5 |
| kimi-k2.5 | 262K | $0.45 | 3 |
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. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology