Intelligence index
Outperforms 94% of compared models
MiMo-V2.6-Pro
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding workloads. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.
- Input / output price
- $0.435/$0.87per 1M tokens
- Context
- 1.1M
- Released
- 2026-09-21
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Data Visualization
1336Elo
Win rate 58.8%
Code Categories
1316Elo
Win rate 52.7%
UI Component
1333Elo
Win rate 59%
Website
1306Elo
Win rate 50.8%
Game Development
1315Elo
Win rate 53.5%
3D
1332Elo
Win rate 57.5%
SVG
1279Elo
Win rate 52.2%
Agent Arena
Webapps
1290Elo
Win rate 58.3%
Related Models
MiMo-V2.6-Flash
xiaomiMiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers strong performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.
- Context
- 1.1M
- Max output
- 131.1K
- Released
- 2026-09-21
- Input
- $0.14/M
- Output
- $0.28/M
- Cache read
- $0.0028/M
MiMo-V2.5-Pro
xiaomiMiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro. It can independently and autonomously complete professional tasks that would take human experts days or weeks, involving more than a thousand tool calls. Its context length of up to 1M makes it well suited for integration with a wide range of agent frameworks.
- Context
- 1.1M
- Max output
- 235.9K
- Released
- 2026-04-22
- Input
- $0.48/M
- Output
- $1.8/M
- Cache read
- $0.096/M
MiMo-V2.5
xiaomiMiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding tasks. Its 1M context window supports complete documents, extended conversations, and complex task contexts in a single pass, making it ideal for integration with agent frameworks where strong reasoning, rich perception, and cost efficiency all matter.
- Context
- 1.1M
- Max output
- 65.5K
- Released
- 2026-04-22
- Input
- $0.4/M
- Output
- $2/M
- Cache read
- $0.08/M