Model Comparison
DeepSeek R1 Distill Llama 8B vs Qwen3-Next-80B-A3B-Thinking
Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 1 benchmark (GPQA).
Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3-Next-80B-A3B-Thinking has 72.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 896.3% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Llama 8B is licensed under MIT, while Qwen3-Next-80B-A3B-Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.
Qwen3-Next-80B-A3B-Thinking is 8 months newer than DeepSeek R1 Distill Llama 8B.
Jan 20, 2025
1.2 years ago
Sep 10, 2025
7 months ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen3-Next-80B-A3B-Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about DeepSeek R1 Distill Llama 8B vs Qwen3-Next-80B-A3B-Thinking