 Llama 3.3 Euryale 70B |  Qwen2.5 72B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Sao10K | Qwen |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 32.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 32.8K tokens |
Release Date When this model first became publicly available | December 18, 2024 10 months ago December 18th, 2024 | September 19, 2024 1 year ago September 19th, 2024 |
Llama 3.3 Euryale 70B | Qwen2.5 72B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Llama3 | Qwen |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
| Llama 3.3 Euryale 70B | Qwen2.5 72B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.65 per million tokens | $0.07 per million tokens |
Output Token Cost Cost per million outut tokens | $0.75 per million tokens | $0.26 per million tokens |
| Llama 3.3 Euryale 70B | Qwen2.5 72B Instruct | |
|---|---|---|
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 3.3 Euryale 70B by Sao10K generates structured data. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $0.65/M input and $0.75/M output tokens. Released December 18th, 2024.Qwen2.5 72B Instruct by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 32.8K token context window. Very affordable at $0.07/M input and $0.26/M output tokens. Released September 19th, 2024.Compare your models with top performers across different categories
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