Moonshot AI: Kimi K2.6

Public pricingIntelligence 81/100Large memory비전심층 추론도구 활용

MoonshotAI: Kimi K2.6은 코딩, 소프트웨어 엔지니어링, 에이전트 워크플로에 맞춘 멀티모달 모델입니다. 멀티모달 입력 처리、강력한 코딩 성능, 262K tokens의 컨텍스트, 무료 또는 무비용 특성을 결합해 코딩, 소프트웨어 엔지니어링, 에이전트 워크플로에서 안정적인 작업을 돕습니다. 특히 품질, 속도, 비용가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

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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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