MiMo-V2.5 vs Qwen3 32B (Comparative Analysis)
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Overview
Qwen3 32B was released 11 months before MiMo-V2.5.
 MiMo-V2.5 |  Qwen3 32B | |
|---|---|---|
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 | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | 16.4K tokens |
Release Date When this model first became publicly available | April 22, 2026 3 months ago April 22nd, 2026 | April 28, 2025 1 year ago April 28th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | March 31, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
MiMo-V2.5 | Qwen3 32B | |
|---|---|---|
Input Types Supported input formats | 📝Text🎵Audio🖼️Image🎬Video | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
MiMo-V2.5 is roughly 1.8x more expensive compared to Qwen3 32B for input tokens and roughly 1.0x less expensive for output tokens.
| MiMo-V2.5 | Qwen3 32B | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.14 per million tokens | $0.08 per million tokens |
Output Token Cost Cost per million output tokens | $0.28 per million tokens | $0.28 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 Qwen3 32B.
| MiMo-V2.5 | Qwen3 32B | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 37.2 (Artificial Analysis index; higher is better) | 11.5 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 56.8 (Artificial Analysis index; higher is better) | 15.3 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 23.7 (Artificial Analysis index; higher is better) | 1.8 (Artificial Analysis index; higher is better) |
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 Qwen3 32B 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.Qwen3 32B by Qwen can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.08/M input and $0.28/M output tokens. Released April 28th, 2025.Explore More Comparisons
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🔬Science
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