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MiMo-V2.5 vs Qwen2.5 VL 72B Instruct (Comparative Analysis)

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Comparative Analysis: MiMo-V2.5 vs. Qwen2.5 VL 72B Instruct
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Overview

Qwen2.5 VL 72B Instruct was released 1 year before MiMo-V2.5.
MiMo-V2.5MiMo-V2.5
Qwen2.5 VL 72B InstructQwen2.5 VL 72B Instruct
Model Provider
The organization behind this AI's development
Xiaomi logoXiaomi
Qwen logoQwen
Input Context Window
Maximum input tokens this model can process at once
1.1M
tokens
128K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
131.1K
tokens
128K
tokens
Release Date
When this model first became publicly available
April 22nd, 2026
February 1st, 2025
Knowledge Cutoff
Latest training-data date reported by the provider
Not reported
June 30, 2024

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
MiMo-V2.5
Qwen2.5 VL 72B Instruct
Input Types
Supported input formats
📝Text🎵Audio🖼️Image🎬Video
📝Text🖼️Image
Reasoning Controls
Defaults and configurable reasoning effort
Optional
Not reported
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
OtherQwen
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
Available on HuggingFace →Available on HuggingFace →

Pricing

MiMo-V2.5 is roughly 0.2x less expensive compared to Qwen2.5 VL 72B Instruct for input tokens and roughly 0.3x less expensive for output tokens.
MiMo-V2.5MiMo-V2.5
Qwen2.5 VL 72B InstructQwen2.5 VL 72B Instruct
Input Token Cost
Cost per million input tokens
$0.14
per million tokens
$0.80
per million tokens
Output Token Cost
Cost per million output tokens
$0.28
per million tokens
$1.00
per million tokens
Cache Read Cost
Cost to reuse cached input tokens
$0.0028
per million tokens
$0.40
per million tokens

Benchmarks

Compare relevant benchmarks between MiMo-V2.5 and Qwen2.5 VL 72B Instruct.
MiMo-V2.5MiMo-V2.5
Qwen2.5 VL 72B InstructQwen2.5 VL 72B Instruct
Intelligence Index
Overall model quality across independent evaluations
37.2
(Artificial Analysis index; higher is better)
Benchmark not available.
Coding Index
Programming performance across independent evaluations
56.8
(Artificial Analysis index; higher is better)
Benchmark not available.
Agentic Index
Ability to complete multi-step agentic tasks
23.7
(Artificial Analysis index; higher is better)
Benchmark not available.
Best Design Arena Score
Highest human-preference Elo score across design arenas
1,301 Elo
(#16 in Game Dev (56.5% win rate))
Benchmark not available.

At a Glance

Quick overview of what makes MiMo-V2.5 and Qwen2.5 VL 72B Instruct unique.
Xiaomi logoMiMo-V2.5 by Xiaomi understands both text and images, handles audio, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1.1M token context window. Very affordable at $0.14/M input and $0.28/M output tokens. Released April 22nd, 2026.
Qwen logoQwen2.5 VL 72B Instruct by Qwen understands both text and images, generates structured data. It can handle standard conversations with its 128K token context window. Reasonably priced at $0.80/M input and $1.00/M output tokens. Released February 1st, 2025.

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