kimi-k2.6Moonshot AI
- endpoints
- 6
- regions
- 2
- api
- chat
- released
- April 2026
- eu routing
- available
capabilities 5/8
The same weights cost 1.6x more on fireworks ai than on deepinfra inc.. That is what the endpoints table is for.
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  DeepInfra Inc. | Global | 262K | $0.60 | $2.80 | $0.12 | zdr |
| 2 | DeepInfra Inc. | Global | 262K | $0.75 | $3.50 | $0.15 | zdr |
| 3 |  Inceptron AB | EU | 262K | $0.80 | $3.50 | $0.20 | zdr |
| 4 |  Fireworks AI | Global | 262K | $0.95 | $4.00 | $0.16 | zdr |
| 5 |  Moonshot AI | Global | 262K | $0.95 | $4.00 | $0.16 | zdr |
| 6 |  Nebius AI | Global | 256K | $0.95 | $4.00 | $0.95 | zdr |
no measured traffic for this model yet. the endpoints table above carries provider pricing
| eval | Score as a share of 100 | /100 |
|---|---|---|
| τ²-Bench | 95.9 | |
| GPQA Diamond | 91.1 | |
| Coding Index | 61.8 | |
| SciCode | 51.5 | |
| Terminal-Bench Hard | 43.9 | |
| Humanity's Last Exam | 37.5 | |
| Intelligence Index | 31.3 | |
| 7 evals | mean | 59.0 |
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 2026-04-20.
kimi-k2.6requesty routes this id across every provider serving kimi-k2.6, 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-k2.6", 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 K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight.
questions 6
Which providers serve kimi-k2.6?
How much does kimi-k2.6 cost?
Is kimi-k2.6 open weights?
What is the context window of kimi-k2.6?
How do I use kimi-k2.6 with the OpenAI SDK?
Should I call kimi-k2.6 by its managed id or a provider id?
more from moonshot ai 5
| model | context | from /M | providers |
|---|---|---|---|
| kimi-k3 | 1.0M | $3.00 | 5 |
| kimi-k2.7-code | 262K | $0.75 | 4 |
| kimi-k2.5 | 262K | $0.45 | 3 |
| kimi-k2 | 262K | $0.60 | 1 |
| kimi-k2-instruct | 131K | $0.57 | 1 |
route kimi-k2.6 through one endpoint
One key for 5 providers 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