Llama 3.1 Euryale 70B v2.2 vs MiniMax M2.5 (Comparative Analysis)
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Comparative Analysis: Llama 3.1 Euryale 70B v2.2 vs. MiniMax M2.5
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Overview
Llama 3.1 Euryale 70B v2.2 was released 1 year before MiniMax M2.5.
 Llama 3.1 Euryale 70B v2.2 |  MiniMax M2.5 | |
|---|---|---|
Model Provider The organization behind this AI's development | Sao10K | MiniMax |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 204.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 196.6K tokens |
Release Date When this model first became publicly available | August 28, 2024 1 year ago August 28th, 2024 | February 12, 2026 5 months ago February 12th, 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 Euryale 70B v2.2 | MiniMax M2.5 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Always enabled |
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 Euryale 70B v2.2 is roughly 5.7x more expensive compared to MiniMax M2.5 for input tokens and roughly 0.9x less expensive for output tokens.
| Llama 3.1 Euryale 70B v2.2 | MiniMax M2.5 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.85 per million tokens | $0.15 per million tokens |
Output Token Cost Cost per million output tokens | $0.85 per million tokens | $0.90 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.05 per million tokens |
Benchmarks
Compare relevant benchmarks between Llama 3.1 Euryale 70B v2.2 and MiniMax M2.5.
| Llama 3.1 Euryale 70B v2.2 | MiniMax M2.5 | |
|---|---|---|
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,252 Elo (#31 in Website (57.5% win rate)) |
At a Glance
Quick overview of what makes Llama 3.1 Euryale 70B v2.2 and MiniMax M2.5 unique.
Llama 3.1 Euryale 70B v2.2 by Sao10K can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $0.85/M input and $0.85/M output tokens. Released August 28th, 2024.MiniMax M2.5 by MiniMax can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 204.8K token context window. Very affordable at $0.15/M input and $0.90/M output tokens. Released February 12th, 2026.Explore More Comparisons
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