Enterprise DNAEnterprise DNA
LModelsBest vision
Moonshot AI logo

Kimi K2.6

by Moonshotai

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

KK

Models

Kimi K2.6

Added 10 July 2026

#moonshotai

Overview

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...

How to use / API access

Call via OpenRouter with model id `moonshotai/kimi-k2.6`.

  • openrouter · moonshotai/kimi-k2.6 Docs

OpenRouter id: moonshotai/kimi-k2.6

Benchmarks

  • Intelligence Index (artificial-analysis): 27 index
  • Coding Index (artificial-analysis): 61.8 index
  • Agentic Index (artificial-analysis): 20.5 index
  • Design Arena agenticgamedev (other): 1141 elo · #20
  • Design Arena agentichtmlslides (other): 1248 elo · #2
  • Design Arena agenticslides (other): 1187 elo · #4
  • Design Arena agenticslides(html) (other): 1252 elo · #2

Notes

Kimi K2.6 is listed in the EDNA Models directory from the OpenRouter catalogue.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

USAGE / OPENROUTER

How much Kimi K2.6 is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
131B ▼8.8%
Requests, last 7 days
8.4M
Tool calls, last 7 days
2.6M
Intelligence score
27
People's vote
1455
Average cost per request
48.9¢
Price per million tokens
$0.65 in · $3.41 out
025B50B19 Sept: 25.7B tokens, 1.6M requests20 Sept: 19.5B tokens, 1.2M requests21 Sept: 21.2B tokens, 1.6M requests22 Sept: 21B tokens, 1.3M requests23 Sept: 22.4B tokens, 1.3M requests24 Sept: 30.8B tokens, 2.4M requests25 Sept: 36.5B tokens, 1.3M requests26 Sept: 27.6B tokens, 953K requests27 Sept: 21.4B tokens, 847K requests28 Sept: 32.1B tokens, 1.2M requests29 Sept: 24.5B tokens, 1.2M requests30 Sept: 18.7B tokens, 1.1M requests1 Oct: 18.9B tokens, 1.2M requests2 Oct: 31B tokens, 1.2M requests3 Oct: 17.7B tokens, 798K requests4 Oct: 11.5B tokens, 656K requests5 Oct: 18.7B tokens, 959K requests6 Oct: 17.8B tokens, 924K requests7 Oct: 26.7B tokens, 1.1M requests8 Oct: 28.2B tokens, 1.1M requests9 Oct: 24.6B tokens, 1.1M requests10 Oct: 15.7B tokens, 1.1M requests11 Oct: 12.3B tokens, 766K requests12 Oct: 16.1B tokens, 988K requests13 Oct: 16.9B tokens, 1.2M requests14 Oct: 19.4B tokens, 1.1M requests15 Oct: 18.7B tokens, 1.5M requests16 Oct: 18.9B tokens, 1.3M requests17 Oct: 16.1B tokens, 1.1M requests18 Oct: 24.9B tokens, 1.2M requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 27 (2026-10-18) ↗Coding Index: 61.8 (2026-10-18) ↗Agentic Index: 20.5 (2026-10-18) ↗
Compare this model with alternatives →