Kimi K2.6
Kimi K2.6 by Moonshot AI is a 1T/32B-active native multimodal MoE model with MoonViT vision encoder, Agent Swarm (300 sub-agents), and 256K context.
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
Accuracy & Capability Details
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| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Kimi | Anthropic | Anthropic |
| Release Date | April 20, 2026 | September 22, 2026 | September 28, 2026 |
| Knowledge Cutoff | - | - | Jun 2026 |
| Context & Limits | |||
| Context Window | 262K | 1M Best Context Window | 1M Best Context Window |
| Pricing (per 1M tokens) | |||
| Input Pricing | $0.95 Best Input Pricing | $4 | $2 |
| Output Pricing | $4 Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | textimage | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 27.0 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | 61.8 | - | - |
| Agentic Index | 20.5 | - | - |
Humanity's Last Exam
Extremely difficult logical reasoning and knowledge.
Long Context Reasoning
Logical reasoning over long context windows.
SciCode Benchmark
Scientific coding and mathematical modeling.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
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