Kimi K2.6
moonshotai/kimi-k2.6
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.
Key facts
- Input price
- $0.65 / 1M tokens
- Output price
- $3.41 / 1M tokens
- Context window
- 262K tokens
- Max output
- 236K tokens
- Accepts
- Text, Images
- Returns
- Text
Example: 1,000 requests with 1,000 input and 500 output tokens each would cost about $2.35 (1M input tokens × $0.65 + 0.5M output tokens × $3.41). Estimate your own usage.
Prices are the provider’s own per-token rates with zero markup, from our price list as of Oct 18, 2026. If a call has extra provider charges (images, audio, web search, cached prompts), you pay the reported cost.
Call it from your code
curl https://api.tokenctr.com/v1/chat/completions \
-H "Authorization: Bearer $TOKENCENTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "moonshotai/kimi-k2.6", "messages": [{"role": "user", "content": "Hello!"}]}'Works with any OpenAI-compatible SDK: set the base URL to https://api.tokenctr.com/v1. Quickstart
Benchmarks
Artificial Analysis
- Intelligence index
- 27
- Coding index
- 61.8
- Agentic index
- 20.5
Design Arena
| Category | Rank | Elo | Win rate |
|---|---|---|---|
| Agents: Agentic HTML slides | 2 | 1248 | 59% |
| Agents: Agentic slides (HTML) | 2 | 1252 | 59.2% |
| Agents: Agentic slides | 4 | 1187 | 45.8% |
| Agents: Agentic slides (python-pptx) | 4 | 1186 | 45.5% |
| Agents: PPTX slides | 4 | 1181 | 44.3% |
| Agents: Web apps | 6 | 1268 | 59.3% |
| Agents: HTML slides | 10 | 1184 | 52.3% |
| Agents: Slides (python-pptx) | 18 | 1180 | 42.1% |
| Agents: Agentic game dev | 20 | 1141 | 47.5% |
| Agents: Android native | 21 | 1174 | 49.1% |
| Agents: Full-stack | 25 | 1155 | 49.4% |
| Models: 3D | 25 | 1268 | 57.6% |
| Agents: Mobile apps | 26 | 1153 | 47.6% |
| Agents: Godot game dev | 28 | 1120 | 46.8% |
| Models: Code | 28 | 1273 | 54.8% |
| Models: Websites | 28 | 1271 | 54.2% |
| Models: SVG | 32 | 1181 | 51.2% |
| Models: UI components | 33 | 1265 | 55.6% |
| Models: ASCII art | 34 | 1167 | 47.5% |
| Models: Data visualization | 34 | 1249 | 52% |
| Models: Game dev | 35 | 1254 | 54.9% |
Source: Artificial Analysis indexes and Design Arena results as published in OpenRouter’s model data, fetched Oct 15, 2026. Higher is better. Not measured by TokenCenter. See all rankings.