MiMo-V2.5 vs Mistral Large (Comparative Analysis)
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Comparative Analysis: MiMo-V2.5 vs. Mistral Large
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Overview
Mistral Large was released 2 years before MiMo-V2.5.
 MiMo-V2.5 |  Mistral Large | |
|---|---|---|
Model Provider The organization behind this AI's development | Xiaomi | Mistral |
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 | Not specified tokens |
Release Date When this model first became publicly available | April 22, 2026 3 months ago April 22nd, 2026 | February 26, 2024 2 years ago February 26th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | November 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
MiMo-V2.5 | Mistral Large | |
|---|---|---|
Input Types Supported input formats | 📝Text🎵Audio🖼️Image🎬Video | 📝Text📁File |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
MiMo-V2.5 is roughly 0.07x less expensive compared to Mistral Large for input tokens and roughly 0.05x less expensive for output tokens.
| MiMo-V2.5 | Mistral Large | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.14 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.28 per million tokens | $6.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.0028 per million tokens | $0.20 per million tokens |
Benchmarks
Compare relevant benchmarks between MiMo-V2.5 and Mistral Large.
| MiMo-V2.5 | Mistral Large | |
|---|---|---|
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 Mistral Large 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.Mistral Large by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Reasonably priced at $2.00/M input and $6.00/M output tokens. Released February 26th, 2024.Explore More Comparisons
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🔬Science
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