DeepSeek V3.1 Terminus vs MiMo-V2.5 (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.1 Terminus vs. MiMo-V2.5
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Overview
DeepSeek V3.1 Terminus was released 7 months before MiMo-V2.5.
 DeepSeek V3.1 Terminus |  MiMo-V2.5 | |
|---|---|---|
Model Provider The organization behind this AI's development | DeepSeek | Xiaomi |
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 1.1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | 131.1K tokens |
Release Date When this model first became publicly available | September 22, 2025 10 months ago September 22nd, 2025 | April 22, 2026 3 months ago April 22nd, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2025 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.1 Terminus | MiMo-V2.5 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🎵Audio🖼️Image🎬Video |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | Other |
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
DeepSeek V3.1 Terminus is roughly 1.9x more expensive compared to MiMo-V2.5 for input tokens and roughly 3.6x more expensive for output tokens.
| DeepSeek V3.1 Terminus | MiMo-V2.5 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $0.14 per million tokens |
Output Token Cost Cost per million output tokens | $1.00 per million tokens | $0.28 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.14 per million tokens | $0.0028 per million tokens |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.1 Terminus and MiMo-V2.5.
| DeepSeek V3.1 Terminus | MiMo-V2.5 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 30.4 (Artificial Analysis index; higher is better) | 37.2 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 43.5 (Artificial Analysis index; higher is better) | 56.8 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 18.1 (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 | 1,220 Elo (#41 in UI Component (59.3% win rate)) | 1,291 Elo (#19 in Game Dev (55.3% win rate)) |
At a Glance
Quick overview of what makes DeepSeek V3.1 Terminus and MiMo-V2.5 unique.
DeepSeek V3.1 Terminus by DeepSeek can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 163.8K token context window. Very affordable at $0.27/M input and $1.00/M output tokens. Released September 22nd, 2025.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.Explore More Comparisons
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Compare MiMo-V2.5 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
Scientific research and analysis
🌐Translation
Multilingual translation tasks