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Kimi K2.6

Masukan:$0.76/M
Keluaran:$3.19998/M
Dirilis:Apr 15, 2026

Kimi K2.6 is Kimi's latest and most intelligent model, possessing stronger and more stable long-term code writing capabilities, significantly improved instruction compliance and self-correction abilities, and supporting text, image, and video input, thinking and non-thinking modes, and dialogue and agent tasks.

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Penggunaan komersial

Playground untuk Kimi K2.6

Jelajahi Playground Kimi K2.6 โ€” lingkungan interaktif untuk menguji model dan menjalankan kueri secara real-time. Coba prompt, sesuaikan parameter, dan iterasi secara instan untuk mempercepat pengembangan dan memvalidasi kasus penggunaan.

Technical Specifications of Kimi K2.6

ItemKimi K2.6 (Code Preview)
Model familyKimi K2 series (MoE architecture)
ProviderMoonshot AI
Model typeOpen-weight / agentic LLM
Total parameters~1 trillion (MoE)
Active parameters~32B per token
ArchitectureMixture-of-Experts (384 experts, 8 active/token)
Context window256K tokens
Input typesText (code, documents), limited multimodal (inherited from K2.5)
Output typesText (code, reasoning, structured outputs)
Knowledge cutoff~April 2025
Training data~15.5 trillion tokens
Release statusBeta (April 2026, Code Preview)
API compatibilityOpenAI / Anthropic-style APIs supported

What is Kimi K2.6?

Kimi K2.6 is the latest agentic codingโ€“focused iteration of Moonshot AIโ€™s K2 series, designed to handle large-scale software engineering workflows, tool orchestration, and long-context reasoning. It builds directly on K2.5 by improving multi-step planning, debugging across large repositories, and tool-calling reliability.

Unlike general-purpose LLMs, K2.6 is optimized for developer-centric workflows, especially those involving autonomous agents and multi-file environments. It powers tools like Kimi Code / OpenClaw and excels at real-world dev tasks such as large refactors, dependency management, debugging, and orchestrating complex terminal operations.

Main Features of Kimi K2.6

  • Enhanced Agentic Coding โ€” Superior multi-file edits, repository-scale reasoning, and autonomous terminal workflows (faster tool calls and deeper research dives reported by beta users).
  • 256K Long Context โ€” Handles entire large codebases, long issue histories, or extensive logs in one session.
  • Strong Tool Orchestration โ€” Interleaves chain-of-thought with 200โ€“300+ sequential tool calls without drift; optimized for speed (users report 3x faster responses vs K2.5).
  • Efficient MoE Design โ€” High capability at lower inference cost (only 32B active params).
  • Coding & Frontend Strength โ€” Excellent at generating functional apps, fixing bugs, React/HTML work, and multilingual coding.
  • Integration Ready โ€” OpenAI/Anthropic-compatible API, easy integration with agents like Cursor, OpenClaw, etc.

Benchmark Performance of Kimi K2.6

As a very recent preview (April 2026), full independent benchmarks are still emerging. It builds on K2.5/K2 Thinking strengths:

  • Strong gains in agentic coding (SWE-Bench Verified family ~71โ€“76% range in prior K2 variants).
  • Competitive/exceeding on LiveCodeBench, Terminal-Bench, and multi-step agent tasks.
  • Users and early tests highlight practical wins over previous versions in speed, planning depth, and reliability for real dev workflows (e.g., dependency hell resolution, full project builds).

Kimi K2.6 vs Kimi K2.5 vs Claude Opus 4.5

  • vs Kimi K2.5 โ€” K2.6 offers noticeably faster tool calls, deeper reasoning, and better agent planning. Beta feedback: โ€œnight and dayโ€ for terminal coding agents.
  • vs Claude Opus 4.5 โ€” Competitive or better on coding/agentic tasks at significantly lower cost (often cited ~76% cheaper). Strong in long-horizon tool use and open-weight flexibility.
  • Practical Edge โ€” K2.6 shines in terminal/CLI-first workflows and cost-efficiency for heavy agent use.

Representative Use Cases

  1. Terminal-based Development โ€” Full project setup, debugging, testing, and deployment orchestration.
  2. Large Refactors & Migrations โ€” Multi-file changes across repositories with long context.
  3. Autonomous Agents โ€” Building reliable coding agents with tool calling (OpenClaw, custom scaffolds).
  4. Frontend & Full-Stack Prototyping โ€” Turning ideas/screenshots into working React/HTML apps.
  5. Research + Code โ€” Deep dives into documentation/codebases combined with implementation.

How to Access on CometAPI: Use model ID kimi-k2.6 . OpenAI-compatible chat endpoint.

FAQ

Harga untuk Kimi K2.6

Jelajahi harga kompetitif untuk Kimi K2.6, dirancang untuk berbagai anggaran dan kebutuhan penggunaan. Paket fleksibel kami memastikan Anda hanya membayar untuk apa yang Anda gunakan, memudahkan untuk meningkatkan skala seiring berkembangnya kebutuhan Anda. Temukan bagaimana Kimi K2.6 dapat meningkatkan proyek Anda sambil menjaga biaya tetap terkendali.

Comet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
Masukan:$0.76/M
Keluaran:$3.19998/M
Masukan:$0.95/M
Keluaran:$3.999975/M
-20%

Kode contoh dan API untuk Kimi K2.6

Akses kode sampel komprehensif dan sumber daya API untuk Kimi K2.6 guna mempermudah proses integrasi Anda. Dokumentasi terperinci kami menyediakan panduan langkah demi langkah, membantu Anda memanfaatkan potensi penuh Kimi K2.6 dalam proyek Anda.

#!/bin/bash

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

response=$(curl -s https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "kimi-k2.6",
    "messages": [
      {
        "role": "user",
        "content": "Hello! Tell me a short joke."
      }
    ]
  }')

printf '%s
' "$response" | python -c 'import json, sys; print(json.load(sys.stdin)["choices"][0]["message"]["content"])'

cURL Code Example

#!/bin/bash

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

response=$(curl -s https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "kimi-k2.6",
    "messages": [
      {
        "role": "user",
        "content": "Hello! Tell me a short joke."
      }
    ]
  }')

printf '%s\n' "$response" | python -c 'import json, sys; print(json.load(sys.stdin)["choices"][0]["message"]["content"])'

Python Code Example

from openai import OpenAI
import os

# Get your CometAPI key from https://www.cometapi.com/console/token
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/v1"

client = OpenAI(base_url=BASE_URL, api_key=COMETAPI_KEY)

completion = client.chat.completions.create(
    model="kimi-k2.6",
    messages=[{"role": "user", "content": "Hello! Tell me a short joke."}],
)

print(completion.choices[0].message.content)

JavaScript Code Example

import OpenAI from "openai";

// Get your CometAPI key from https://www.cometapi.com/console/token
const COMETAPI_KEY = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const BASE_URL = "https://api.cometapi.com/v1";

const client = new OpenAI({
  apiKey: COMETAPI_KEY,
  baseURL: BASE_URL,
});

const completion = await client.chat.completions.create({
  model: "kimi-k2.6",
  messages: [{ role: "user", content: "Hello! Tell me a short joke." }],
});

console.log(completion.choices[0].message.content);

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