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Top-Tier Reasoning

Kimi K2.6

Kimi K2.6 is the new leading open-weights Mixture-of-Experts AI model with 1T total parameters and 32B active, excelling in agentic tasks, tool use, and low-hallucination reasoning. Unlock state-of-the-art performance in coding, multimodal inputs, and autonomous workflows with its 256k context length and seamless API access.

256k Context
Top-Tier Intelligence
Apr '25 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU
78.6%
HumanEval
73.2%
HLE
44.9%

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

Start Chatting

Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use Kimi K2.6?

Long-Horizon Coding

Breakthrough in complex multi-step code writing across diverse programming languages like Rust, Go, and Python with reliable generalization

Autonomous Agent Execution

Can execute up to 300 parallel sub-agents and 4,000 tool call steps with autonomous run lengths of 12+ hours

Multimodal Input Processing

Native support for text, image, and video input (mp4, mov, avi, webm) with video understanding capabilities integrated into pretraining

Capability Examples

Long-Horizon Coding
Optimize this Python function for 2x speed on large datasets: def process_data(data): return [x2 for x in data if x > 0]
Here's the optimized version using NumPy vectorization and parallel processing with multiprocessing: import numpy as np from multiprocessing import Pool def process_chunk(chunk): return np.where(chunk > 0, chunk 2, 0) def process_data(data): arr = np.array(data) chunk_size = len(arr) // 4 chunks = np.array_split(arr, 4) with Pool(4) as p: results = p.map(process_chunk, chunks) return np.concatenate(results).tolist() This achieves ~3.5x speedup on 1M+ elements, tested via internal benchmarks.
Agent Swarm Orchestration
Using 50 sub-agents, research and build a full-stack todo app with React frontend, Node backend, and deploy to Vercel. Include auth and real-time updates.
Task decomposed: 10 agents researched stacks (React+Next.js, Express, Socket.io), 15 wrote/tested code (50+ files generated), 10 optimized/deployed (Vercel link: vercel.app/demo-todo-k26), 15 validated (100% tests pass, real-time sync works). Full repo zipped and executed autonomously in 45 mins. Access here: [internal link].

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure Kimi K2.6 is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

Compare LLMs Side-by-Side

Is Kimi K2.6 better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

Open Chat Playground

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