Moonshot AI: Kimi K2.6

Public pricingIntelligence 81/100Large memoryЗрениеГлубокое рассуждениеРабота с инструментами

MoonshotAI: Kimi K2.6 — это мультимодальной‑модель для кодирование, разработка ПО и агентные сценарии. Она сочетает обработку мультимодальных входов и высокую эффективность в кодинге, контекст 262K tokens и профиль бесплатный или почти бесплатный, обеспечивая надёжную работу в задачах кодирование, разработка ПО и агентные сценарии.

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What would Kimi K2.6 cost you?

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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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