Qwen3.5 397B A17B vs R1 Distill Llama 70B
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 Qwen3.5 397B A17B and R1 Distill Llama 70B.
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...
R1 Distill Llama 70B
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...
Technical Specifications
| Specification | Qwen3.5 397B A17B | R1 Distill Llama 70B |
|---|---|---|
| Provider | Alibaba | DeepSeek |
| Context Window | 256,000 tokens | 128,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-02-16 | 2025-01-23 |
API Pricing Comparison
Input Price per Million Tokens
Qwen3.5 397B A17B
$0.39
R1 Distill Llama 70B
$0.80
Output Price per Million Tokens
Qwen3.5 397B A17B
$2.45
R1 Distill Llama 70B
$0.80
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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.
Qwen3.5 397B A17B Quirks & Gotchas
No developer gotchas reported.
R1 Distill Llama 70B Quirks & Gotchas
No developer gotchas reported.