DeepSeek R1 Distill Llama 70B vs Qwen2.5 VL 72B Instruct
DeepSeek R1 Distill Llama 70B and Qwen2.5 VL 72B Instruct are closely matched at 14.7 and 12.9 on the LLM Stats Score.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B and Qwen2.5 VL 72B Instruct are closely matched on the overall LLM Stats Score at 14.7 and 12.9.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- you want predictable pricing at $0.10/M input and $0.40/M output
Choose Qwen2.5 VL 72B Instruct
- you want the most recent training data — it shipped Jan 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 30 for Qwen2.5 VL 72B Instruct
DeepSeek R1 Distill Llama 70B and Qwen2.5 VL 72B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5 VL 72B Instruct has 1.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 2.0% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
Qwen2.5 VL 72B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
Qwen2.5 VL 72B Instruct
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.
Qwen2.5 VL 72B Instruct is 0 month newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.6 years ago
Jan 26, 2025
1.6 years ago
6d newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Qwen2.5 VL 72B Instruct.