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  4. Kimi K2.6
Kimi
Released April 20, 2026

Kimi K2.6

Kimi K2.6 by Moonshot AI is a 1T/32B-active native multimodal MoE model with MLA attention, MoonViT vision encoder, Agent Swarm (300 sub-agents), and 256K context.

Visit KimiAnnouncement
Inputs
Text
Image
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Kimi K2.6 – Native Multimodal Agentic MoE with Swarm Orchestration

Kimi K2.6 is Moonshot AI's open-source native multimodal agentic model. It advances practical capabilities across long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration — all within a single architecture handling text, images, and video without separate vision modules.

Key Capabilities

  • Long-Horizon Coding: Generalizes across Rust, Go, and Python spanning front-end, DevOps, and performance optimization; officially documented 12+ hour autonomous coding sessions with 4,000+ tool calls
  • Coding-Driven Design: Transforms prompts and visual inputs into production-ready interfaces with structured layouts, interactive elements, and animations
  • Agent Swarm: Scales to 300 domain-specialized sub-agents executing 4,000 coordinated steps in a single autonomous run — up from 100 sub-agents and 1,500 steps in K2.5; decomposes tasks into parallel subtasks delivering end-to-end outputs across documents, websites, and spreadsheets
  • Proactive Orchestration: Powers persistent 24/7 background agents managing schedules, executing code, and orchestrating cross-platform operations without human oversight

Reasoning Workflow

Supports Thinking and Instant modes. Thinking is interleaved between tool calls. Official documentation specifies preserved thinking as the recommended pattern: reasoning content from prior assistant turns is kept in message history across multi-turn interactions.

Benchmark Performance

Independent evaluations · Artificial Analysis

45.1%
Intelligence
61.8%
Coding Index
31.2%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science91.1%
Humanity's Last Exam37.5%
SciCode - Scientific Coding53.5%
Instruction Following76.0%
Long Context Reasoning76.7%
τ²-Bench - Agentic Tasks95.9%
TerminalBench - System Control43.9%
Specs
Context window
262Ktokens
Input pricing
$0.95per 1M tokens
Output pricing
$4per 1M tokens
Cached input
$0.16per 1M tokens

Prices in USD.

Key Capabilities & Ratings

Advanced Math80%
Coding & Dev80%
Search Integration80%
Visual Reasoning80%
General Knowledge80%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderKimiAnthropicAnthropic
Release DateApril 20, 2026July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window262K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.95
Best Input Pricing
$5$10
Output Pricing
$4
Best Output Pricing
$25$50
Modalities
Inputs
textimage
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index45.1
63.1
Best Intelligence Index
62.1
Coding Index61.8
78.0
Best Coding Index
76.5
Agentic Index31.2
59.2
Best Agentic Index
56.6
Kimi K2.6
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

91%
Kimi K2.6
GPQA Benchmark
Score: 91%
Kimi K2.6
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

38%
Kimi K2.6
Humanity's Last Exam
Score: 38%
Kimi K2.6
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

77%
Kimi K2.6
Long Context Reasoning
Score: 77%
Kimi K2.6
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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