Moonshot AI: Kimi K2.6

Public pricingIntelligence 81/100Large memoryالرؤيةتفكير عميقاستخدام الأدوات

MoonshotAI: Kimi K2.6 هو نموذج متعدد الوسائط مخصص لـالبرمجة وهندسة البرمجيات وسير عمل الوكلاء. يجمع بين معالجة الإدخال متعدد الوسائط، أداء قوي في البرمجة وسياق بحجم 262K tokens وملف مجاني أو منخفض التكلفة لتقديم عمل موثوق في البرمجة وهندسة البرمجيات وسير عمل الوكلاء. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

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Technical specifications

Kimi K2.6 at a glance.

Memory

262,144

tokens

Max reply

262,144

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Apr 2026

Training cutoff

Jan 2026

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • swe_bench_verified

    80.2

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Kimi K2.6

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Kimi K2.6 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

Kimi K2.6 has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Kimi K2.6 supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
Kimi K2.6 was released in April 2026, with training data cut off around January 2026.
Models in a similar class include Kimi K2.5, GPT-5 Nano, Gemini 2.0 Flash Lite. The "Similar models" section below this FAQ links into each.

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