Llama 3.1 70B Instruct vs MiMo-V2.5 (Comparative Analysis)
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Comparative Analysis: Llama 3.1 70B Instruct vs. MiMo-V2.5
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Overview
Llama 3.1 70B Instruct was released 1 year before MiMo-V2.5.
 Llama 3.1 70B Instruct |  MiMo-V2.5 | |
|---|---|---|
Model Provider The organization behind this AI's development | Meta | Xiaomi |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 1.1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 131.1K tokens |
Release Date When this model first became publicly available | July 23, 2024 2 years ago July 23rd, 2024 | April 22, 2026 3 months ago April 22nd, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | December 31, 2023 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Llama 3.1 70B Instruct | 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 | Llama3 | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Llama 3.1 70B Instruct is roughly 2.9x more expensive compared to MiMo-V2.5 for input tokens and roughly 1.4x more expensive for output tokens.
| Llama 3.1 70B Instruct | MiMo-V2.5 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.40 per million tokens | $0.14 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 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 Llama 3.1 70B Instruct and MiMo-V2.5.
| Llama 3.1 70B Instruct | 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 Llama 3.1 70B Instruct and MiMo-V2.5 unique.
Llama 3.1 70B Instruct by Meta can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.40/M input and $0.40/M output tokens. Released July 23rd, 2024.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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