# Research: Kimi Visual Capabilities

**Date:** 2026-04-19  
**Purpose:** Validate Kimi's visual strengths for hackathon project

## Kimi K2.5 - Multimodal Model

### Core Capabilities
- **Text + Images + Video** input support
- 256K context length
- Thinking/non-thinking modes
- Agent task support

### Visual API Models
- `moonshot-v1-8k-vision-preview`
- `moonshot-v1-32k-vision-preview`  
- `moonshot-v1-128k-vision-preview`
- `kimi-k2.5` (latest, supports video)

### Supported Formats
**Images:** png, jpeg, webp, gif  
**Video:** mp4, mpeg, mov, avi, x-flv, mpg, webm, wmv, 3gpp

### Unique Visual Features
1. **Visual Coding** - Kimi Code, Kimi Claw for coding with visual context
2. **Video Understanding** - Analyzes video content (unique for multimodal models)
3. **Real-time Visual Chat** - Interactive visual conversation

## Kimi K2 Benchmarks (Coding/Agent)

| Benchmark | Kimi K2 Score | Notes |
|-----------|---------------|-------|
| SWE-bench Verified (Single Attempt) | **65.8%** | Global SOTA for open-source |
| SWE-bench Multilingual | 47.3% | Outperforms most proprietary |
| LiveCodeBench v6 | 53.7% | Strong coding |
| TerminalBench | 30.0% | Agentic tool use |
| Aider-Polyglot | 60.0% | Code editing |
| Tau2-Bench (avg) | ~64% | Tool use tasks |

## Kimi Visual Strengths Summary

✅ **Video understanding** (unique advantage)  
✅ **Visual coding** capabilities  
✅ **Image + Text multimodal**  
✅ **Strong agentic tool use**  
✅ **256K context** for large visual inputs  

## Sources
- https://platform.moonshot.cn/docs/guide/kimi-k2-5-quickstart
- https://moonshotai.github.io/Kimi-K2/
- https://platform.moonshot.cn/docs/guide/use-kimi-vision-model