R1 Distill Llama 70B vs MiMo-V2.5 (Comparative Analysis)
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Comparative Analysis: R1 Distill Llama 70B vs. MiMo-V2.5
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Overview
R1 Distill Llama 70B was released 1 year before MiMo-V2.5.
 R1 Distill Llama 70B |  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 | 8.2K 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 | January 23, 2025 1 year ago January 23rd, 2025 | April 22, 2026 3 months ago April 22nd, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | July 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
R1 Distill Llama 70B | 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 | Llama3 | Other |
Key Features Advanced capabilities | Function CallingStructured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
R1 Distill Llama 70B is roughly 5.7x more expensive compared to MiMo-V2.5 for input tokens and roughly 2.9x more expensive for output tokens.
| R1 Distill Llama 70B | MiMo-V2.5 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.80 per million tokens | $0.14 per million tokens |
Output Token Cost Cost per million output tokens | $0.80 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 R1 Distill Llama 70B and MiMo-V2.5.
| R1 Distill Llama 70B | MiMo-V2.5 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 37.2 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 56.8 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 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 R1 Distill Llama 70B and MiMo-V2.5 unique.
R1 Distill Llama 70B by DeepSeek offers advanced reasoning. It can handle standard conversations with its 8.2K token context window. Reasonably priced at $0.80/M input and $0.80/M output tokens. Released January 23rd, 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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Technical analysis and explanations
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