 Llama 3.1 Euryale 70B v2.2 |  Mercury Coder | |
|---|---|---|
Model Provider The organization behind this AI's development | Sao10K | Inception |
Input Context Window Maximum input tokens this model can process at once | 32.8K tokens | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | 16.4K tokens |
Release Date When this model first became publicly available | August 28, 2024 1 year ago August 28th, 2024 | April 30, 2025 10 months ago April 30th, 2025 |
Llama 3.1 Euryale 70B v2.2 | Mercury Coder | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
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 OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
| Llama 3.1 Euryale 70B v2.2 | Mercury Coder | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.65 per million tokens | $0.25 per million tokens |
Output Token Cost Cost per million outut tokens | $0.75 per million tokens | $0.75 per million tokens |
| Llama 3.1 Euryale 70B v2.2 | Mercury Coder | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
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 32.8K token context window. Reasonably priced at $0.65/M input and $0.75/M output tokens. Released August 28th, 2024.Mercury Coder by Inception can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.25/M input and $0.75/M output tokens. Released April 30th, 2025.Compare your models with top performers across different categories
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