Llama 3.1 70B Instruct vs Llama 3.1 8B
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 70B Instruct and Llama 3.1 8B.
Llama 3.1 70B Instruct
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
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 โ making it the default choice for on-device AI applications and local prototyping.
Technical Specifications
| Specification | Llama 3.1 70B Instruct | Llama 3.1 8B |
|---|---|---|
| Provider | Meta | Meta |
| Context Window | 131,072 tokens | 131,072 tokens |
| Agent Suitability | N/A | 74/100 |
| Time to First Token (TTFT) | N/A | 80 ms |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-07-23 | 2024-07-23 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.1 70B Instruct
$0.40
Llama 3.1 8B
$0.04
Output Price per Million Tokens
Llama 3.1 70B Instruct
$0.40
Llama 3.1 8B
$0.04
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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 70B Instruct Quirks & Gotchas
No developer gotchas reported.
Llama 3.1 8B Quirks & Gotchas
- โธPerfect for CPU/edge deployment โ runs on Raspberry Pi with quantization
- โธLimited tool calling vs larger models โ best for simple classification and chat