Llama 3.1 8B vs Qwen3.5 397B A17B
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 Qwen3.5 397B A17B.
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.
Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
Technical Specifications
| Specification | Llama 3.1 8B | Qwen3.5 397B A17B |
|---|---|---|
| Provider | Meta | Alibaba |
| Context Window | 131,072 tokens | 256,000 tokens |
| Agent Suitability | 74/100 | N/A |
| Time to First Token (TTFT) | 80 ms | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-07-23 | 2026-02-16 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.1 8B
$0.04
Qwen3.5 397B A17B
$0.39
Output Price per Million Tokens
Llama 3.1 8B
$0.04
Qwen3.5 397B A17B
$2.45
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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
- 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
Qwen3.5 397B A17B Quirks & Gotchas
No developer gotchas reported.