MiMo-V2.5 vs Virtuoso Large (Comparative Analysis)
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Comparative Analysis: MiMo-V2.5 vs. Virtuoso Large
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Overview
Virtuoso Large was released 11 months before MiMo-V2.5.
 MiMo-V2.5 |  Virtuoso Large | |
|---|---|---|
Model Provider The organization behind this AI's development | Xiaomi | Arcee AI |
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 | 64K tokens |
Release Date When this model first became publicly available | April 22, 2026 3 months ago April 22nd, 2026 | May 5, 2025 1 year ago May 5th, 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 | Virtuoso Large | |
|---|---|---|
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 | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function CallingStructured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
MiMo-V2.5 is roughly 0.2x less expensive compared to Virtuoso Large for input tokens and roughly 0.2x less expensive for output tokens.
| MiMo-V2.5 | Virtuoso Large | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.14 per million tokens | $0.75 per million tokens |
Output Token Cost Cost per million output tokens | $0.28 per million tokens | $1.20 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 Virtuoso Large.
| MiMo-V2.5 | Virtuoso 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 Virtuoso 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.Virtuoso Large by Arcee AI can use external tools and APIs. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $0.75/M input and $1.20/M output tokens. Released May 5th, 2025.Explore More Comparisons
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Models optimized for creative writing
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🔬Science
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