MiMo-V2.5 vs Qwen2.5 Coder 32B Instruct (Comparative Analysis)
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Comparative Analysis: MiMo-V2.5 vs. Qwen2.5 Coder 32B Instruct
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Overview
Qwen2.5 Coder 32B Instruct was released 1 year before MiMo-V2.5.
 MiMo-V2.5 |  Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Xiaomi | Qwen |
Input Context Window Maximum input tokens this model can process at once | 1.1M tokens | 32.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | 32.8K tokens |
Release Date When this model first became publicly available | April 22, 2026 3 months ago April 22nd, 2026 | November 11, 2024 1 year ago November 11th, 2024 |
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 Coder 32B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text🎵Audio🖼️Image🎬Video | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Qwen |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning 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 Coder 32B Instruct for input tokens and roughly 0.3x less expensive for output tokens.
| MiMo-V2.5 | Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.14 per million tokens | $0.66 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 | Not specified |
Benchmarks
Compare relevant benchmarks between MiMo-V2.5 and Qwen2.5 Coder 32B Instruct.
| MiMo-V2.5 | Qwen2.5 Coder 32B 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 | 1,291 Elo (#19 in Game Dev (55.3% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes MiMo-V2.5 and Qwen2.5 Coder 32B Instruct unique.
MiMo-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.Qwen2.5 Coder 32B Instruct by Qwen is a text-based AI model. It can handle standard conversations with its 32.8K token context window. Reasonably priced at $0.66/M input and $1.00/M output tokens. Released November 11th, 2024.Explore More Comparisons
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Compare Qwen2.5 Coder 32B Instruct with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
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Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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