Llama 3.1 Euryale 70B v2.2 vs Sonar Pro (Comparative Analysis)
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Comparative Analysis: Llama 3.1 Euryale 70B v2.2 vs. Sonar Pro
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Overview
Llama 3.1 Euryale 70B v2.2 was released 6 months before Sonar Pro.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 8K tokens |
Release Date When this model first became publicly available | August 28, 2024 1 year ago August 28th, 2024 | March 7, 2025 1 year ago March 7th, 2025 |
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 | Sonar Pro | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Llama3 | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | Function CallingStructured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Llama 3.1 Euryale 70B v2.2 is roughly 0.3x less expensive compared to Sonar Pro for input tokens and roughly 0.06x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.85 per million tokens | $3.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.85 per million tokens | $15.00 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.005 per search |
At a Glance
Quick overview of what makes Llama 3.1 Euryale 70B v2.2 and Sonar Pro unique.
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