Llama 3.1 8B vs Lyria 3 Pro Preview
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.1 8B and Lyria 3 Pro Preview.
Llama 3.1 8B
Llama 3.1 8B is Meta's lightweight open-weight model from the Llama 3.1 generation, optimized for efficient deployment on consumer hardware and edge devices. Despite its compact 8-billion-parameter size, it delivers strong performance on instruction following, text summarization, and lightweight coding tasks. Lllama 3.1 8B is the most downloaded model in the Llama family and runs efficiently on laptops, single GPUs, and CPU via quantization — making it the default choice for on-device AI applications and local prototyping.
Lyria 3 Pro Preview
Full-length songs are priced at $0.08 per song. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate high-quality, 48kHz...
Technical Specifications
| Specification | Llama 3.1 8B | Lyria 3 Pro Preview |
|---|---|---|
| Provider | Meta | |
| Context Window | 131,072 tokens | 1,048,576 tokens |
| Agent Suitability | 74/100 | N/A |
| Time to First Token (TTFT) | 80 ms | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2024-07-23 | 2026-03-30 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.1 8B
$0.04
Lyria 3 Pro Preview
$0.00
Output Price per Million Tokens
Llama 3.1 8B
$0.04
Lyria 3 Pro Preview
$0.00
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama 3.1 8B Quirks & Gotchas
- ▸Perfect for CPU/edge deployment — runs on Raspberry Pi with quantization
- ▸Limited tool calling vs larger models — best for simple classification and chat
Lyria 3 Pro Preview Quirks & Gotchas
No developer gotchas reported.