Speed
Output tokens / second
Custom pricing for production workloads
Moonshot AI's Kimi K2.6 is the most capable open-source model available today. It scores 80.2% on SWE-Bench Verified, orchestrates up to 300 parallel sub-agents, and sustains autonomous execution across 4,000+ tool calls, matching closed frontier models at a fraction of the cost.
With a 262,144-token context window, Kimi K2.6 handles massive projects in a single pass, reducing fragmentation and improving coherence across long workflows. It also supports agent swarms up to 300 agents, making it one of the most advanced open agentic systems available today.
moonshot/kimi-k2-6https://api.aimlapi.com/v1Kimi K2.6 is the latest model in Moonshot AI's fast-moving K2 family, a line of open-source large language models that has consistently punched well above its weight since the original K2 debuted in July 2025. Where other releases make incremental gains, each Kimi K2 update has targeted a specific capability dimension and delivered genuine, measurable improvement.
K2.6 is no different. It picks up where K2.5 left off, already the top-ranked open model on the Artificial Analysis Intelligence Index, and doubles down on the three things developers and enterprises actually care about: long-horizon autonomous coding, scalable multi-agent orchestration, and production-ready deployment at low cost.
| Specification | Kimi K2.6 |
|---|---|
| Model family | Kimi K2 series |
| Provider | Moonshot AI |
| Architecture | Mixture-of-Experts |
| Context window | Long-context, with 256K-class handling in technical materials |
| Primary use case | Coding, agents, tool workflows |
| Strengths | Multi-step reasoning, large projects, orchestration, research synthesis |
| Output style | Structured text, code, agentic actions |
Every K2 release has had a defining capability. K2.6 has several that work together to enable a new category of autonomous, long-running AI tasks.
K2.6 scales to 300 parallel sub-agents per run, up from 100 in K2.5. The orchestrator decomposes tasks into independent subtasks, routes them to domain-specialized agents, and synthesizes outputs autonomously. This is not a single chatbot loop. It's a coordinated AI workforce.
K2.6 supports sustained autonomous execution for 12+ hours and 4,000+ sequential tool calls without losing coherence. Most models break down after a few hundred steps. K2.6 handles end-to-end software projects from a single prompt.
Built on the MoonViT-3D vision encoder, K2.6 understands images, UI screenshots, and video workflows natively, not as an afterthought. It can generate code directly from a design mockup, analyze diagrams, and orchestrate tools based on visual inputs.
Kimi K2.6 is documented for long-horizon coding workflows, including frontend, backend, DevOps, and performance optimization. It is also documented for autonomous agent orchestration with proactive background task execution.
The model is documented for visual reasoning with image and video inputs. It is also documented for complex multi-step problem-solving that can require hundreds of sequential tool invocations.
See how Kimi K2.6 compares in generation speed and latency. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 8 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Agentic tasks completed in a command-line environment.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
| Usage | Price | Unit |
|---|---|---|
| Input | $0.95 | 1M tokens |
| Output | $4 | 1M tokens |
| Cached input | $0.16 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.95 | $4 | |
| $1.9 | $8 | |
| $2 | $10 | |
| $3 | $15 | |
| $4 | $20 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "moonshot/kimi-k2-6",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "moonshot/kimi-k2-6",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "moonshot/kimi-k2-6",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Kimi K2.6 has a 262,000 tokens context window and can return up to 260,000 tokens.
Kimi K2.6 takes text as input and returns text.
Use moonshot/kimi-k2-6 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Kimi K2.6 costs $0.95 input and $4 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, Kimi K2.6 can stream responses as they are generated.
Kimi K2.6 was built by Moonshot AI.
Yes. It supports function calling, parallel tool calls, structured outputs, and web search.