Command A vs MiMo-V2.5 (Comparative Analysis)
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Overview
Command A was released 1 year before MiMo-V2.5.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 256K tokens | 1.1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 8.2K tokens | 131.1K tokens |
Release Date When this model first became publicly available | March 13, 2025 1 year ago March 13th, 2025 | April 22, 2026 3 months ago April 22nd, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Command A | MiMo-V2.5 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🎵Audio🖼️Image🎬Video |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Other |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Command A is roughly 17.9x more expensive compared to MiMo-V2.5 for input tokens and roughly 35.7x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $2.50 per million tokens | $0.14 per million tokens |
Output Token Cost Cost per million output tokens | $10.00 per million tokens | $0.28 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.0028 per million tokens |
Benchmarks
Compare relevant benchmarks between Command A and MiMo-V2.5.
Intelligence Index Overall model quality across independent evaluations | 22.5 (Artificial Analysis index; higher is better) | 37.2 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 27.8 (Artificial Analysis index; higher is better) | 56.8 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 9.2 (Artificial Analysis index; higher is better) | 23.7 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,291 Elo (#19 in Game Dev (55.3% win rate)) |
At a Glance
Quick overview of what makes Command A and MiMo-V2.5 unique.
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