Updated

Moonshot AI
Kimi K2.6
Moonshot AI's open coding model that turns prompts and visual inputs into working interfaces.
What is Kimi K2.6?
Kimi K2.6 is an open-weight model from Moonshot AI, released in April 2026, with 1T total parameters and 32B active.
Moonshot built it for long coding tasks in languages such as Rust, Go and Python, for coding-driven design that turns prompts and visual inputs into production-ready interfaces, and for Agent Swarm runs of up to 300 sub-agents and 4,000 coordinated steps. It reads text and images in a 256K-token context window, and Moonshot's own API also accepts video as an experimental feature. In Super Agent its thinking is a simple on or off switch, on by default.
- Provider
- Moonshot AI
- Context window
- 256K tokens
- Input
- Text, Image
- Reasoning
- On or off
- Released
- April 2026
How Kimi K2.6 performs
Published by Moonshot AI
Results Moonshot AI reported for Kimi K2.6. Each lab runs its own setup, so compare these with other models only inside the same table.
| Benchmark | Score | Setting |
|---|---|---|
| Humanity's Last Exam (full) | 54.0% | with tools, thinking mode |
| BrowseComp | 83.2% | thinking mode |
| SWE-Bench Verified | 80.2% | thinking mode |
| SWE-Bench Pro | 58.6% | thinking mode |
| Terminal-Bench 2.0 | 66.7% | Terminus-2 harness, thinking mode |
| LiveCodeBench v6 | 89.6% | thinking mode |
| AIME 2026 | 96.4% | thinking mode |
| GPQA Diamond | 90.5% | thinking mode |
| OSWorld-Verified | 73.1% | thinking mode |
| MMMU-Pro | 79.4% | thinking mode |
Source: huggingface.co
On LMArena
People compare two anonymous answers and vote for the better one. Ranked here against the other chat models you can pick in Super Agent.
Text
#19 of 27 in Super Agent
All text prompts, with style control on. #59 of 418 on the full leaderboard, from 40,026 votes.
- 1Claude Opus 5.51509
- 2Claude Fable 51503
- 3Claude Fable 5.11503
- 4Claude Opus 51491
- 5Gemini 3.7 Flash1490
- 19Kimi K2.61461
Coding
#18 of 27 in Super Agent
Text prompts that ask for code. #44 of 413 on the full leaderboard, from 11,097 votes.
- 1Claude Fable 51551
- 2Claude Opus 5.51548
- 3GPT-6 Astra1543
- 4Kimi K31539
- 5Claude Fable 5.11538
- 18Kimi K2.61516
WebDev
#23 of 27 in Super Agent
Building working web apps in Code Arena. #59 of 149 on the full leaderboard, from 10,170 votes.
- 1Claude Opus 5.51807
- 2GPT-6 Astra1775
- 3Claude Sonnet 5.51768
- 4GPT-6.1 Sol1749
- 5Claude Fable 5.11743
- 23Kimi K2.61509
Math
#17 of 27 in Super Agent
Text prompts with math problems. #41 of 404 on the full leaderboard, from 2,073 votes.
- 1Claude Fable 5.11529
- 2Claude Fable 51521
- 3Claude Opus 51517
- 4GPT-6.1 Sol1513
- 5Claude Opus 5.51512
- 17Kimi K2.61479
Hard prompts
#19 of 27 in Super Agent
Complex, multi-part and demanding text prompts. #57 of 418 on the full leaderboard, from 26,069 votes.
- 1Claude Opus 5.51535
- 2Claude Fable 51529
- 3Claude Fable 5.11523
- 4Kimi K31516
- 5Claude Opus 51515
- 19Kimi K2.61485
Creative writing
#22 of 27 in Super Agent
Stories, poems and other original writing. #71 of 416 on the full leaderboard, from 6,329 votes.
- 1Claude Opus 5.51520
- 2Claude Fable 51501
- 3Gemini 3.7 Flash1492
- 4Claude Fable 5.11487
- 5Gemini 3.1 Pro Preview1481
- 22Kimi K2.61432
Vision
#18 of 23 in Super Agent
Prompts that include images, with style control on. #41 of 167 on the full leaderboard, from 16,368 votes.
- 1Claude Fable 51309
- 2Gemini 3.7 Flash1295
- 3GPT-6.1 Sol1294
- 4Claude Opus 5.51293
- 5Claude Opus 51288
- 18Kimi K2.61265
Source: LMArena, leaderboard published . Scores move as new votes come in.
What you can do with Kimi K2.6
Turns prompts and visual inputs, such as screenshots, into working interfaces
Long coding tasks in Rust, Go and Python
Agent Swarm of up to 300 sub-agents, according to Moonshot
Open weights under a modified MIT license
Simple on or off thinking
How to prompt Kimi K2.6
- Attach a screenshot and ask it to describe or rebuild the layout.
- Leave reasoning on for planning; switch it off for quick replies.
- Name the language or tool you work in so its code matches your setup.
Where Kimi K2.6 fits best
Turning a screenshot into a layout description
Code-heavy creative tools
Multi-step agent work
Interface and landing page ideas
How Kimi K2.6 compares
| Model | LMArena text | LMArena coding | Context window | Reasoning |
|---|---|---|---|---|
| Kimi K2.6 | 1461#59 | 1516#44 | 256K tokens | On or off |
| Claude Sonnet 5 | 1462#58 | 1520#37 | 1M tokens | Off to max |
| GPT-6 Sol | 1459#62 | 1519#38 | 1.05M tokens | Off to max |
| DeepSeek V4 Pro | 1458#64 | 1501#79 | 1M tokens | Off, medium, high, extra high |
| Grok 4.6 | 1456#66 | 1510#60 | 500K tokens | Low to extra high |
Good to know before you start
- 256K-token context, smaller than the 1M of Kimi K3
- No graded effort levels, only on or off
- Interfaces come out as code; for images and video, Super Agent uses Flashloop's generation models
Start chatting with Kimi K2.6
Chat with Kimi K2.6 in Super AgentSelect Kimi K2.6
Open Super Agent on Flashloop and choose Kimi K2.6 in the model picker.
Enter your prompt
Ask for what you need: an answer, a plan, or the images and videos you want the agent to make.
Send and keep going
Send the message. Kimi K2.6 answers in Super Agent and runs any generations you asked for.
Questions about Kimi K2.6
What is Kimi K2.6 best at?
Long coding tasks, turning prompts and visual inputs into interfaces, and large multi-agent runs. Moonshot says its Agent Swarm can coordinate up to 300 sub-agents.
What inputs does Kimi K2.6 accept?
Text and images, with a 256K-token context window. Moonshot's own API also takes video, which it labels experimental.
How do I control reasoning on Kimi K2.6?
It has an on or off switch in Super Agent, and it starts with reasoning on.
Kimi K2.6 or Kimi K3?
Kimi K2.6 focuses on coding and interface work and has a 256K window. Kimi K3, Moonshot's current flagship, adds a 1M-token context and effort levels, and video is built into the model. On K2.6, video input is experimental and limited to Moonshot's API.
More chat models on Flashloop
Claude Sonnet 5Anthropic's most agentic Sonnet at launch, close to Opus 4.8 and able to reply with thinking off.
GPT-6 SolOpenAI's GPT-6 model between Luna and Astra, trained like Astra and able to reply with reasoning off.
DeepSeek V4 ProDeepSeek's largest V4 model for coding, knowledge and STEM; Super Agent runs the April preview.
Grok 4.6xAI's Grok 4.6 for turning a broad product idea into a working first version, with 500K context.