Model Comparison
DeepSeek R1 Distill Llama 70B vs Qwen3 VL 235B A22B Thinking
Comparing DeepSeek R1 Distill Llama 70B and Qwen3 VL 235B A22B Thinking across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B and Qwen3 VL 235B A22B Thinking don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 4.5x cheaper than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 8.7x cheaper than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).
In conclusion, Qwen3 VL 235B A22B Thinking is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Thinking has 165.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 234.3% larger.
Context Window
Maximum input and output token capacity
Qwen3 VL 235B A22B Thinking accepts 262,144 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
Qwen3 VL 235B A22B Thinking
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while Qwen3 VL 235B A22B 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 70B was released on 2025-01-20, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.
Qwen3 VL 235B A22B Thinking is 8 months newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.3 years ago
Sep 22, 2025
7 months ago
8mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. Qwen3 VL 235B A22B Thinking is available from DeepInfra, Novita.
DeepSeek R1 Distill Llama 70B
Qwen3 VL 235B A22B Thinking
Outputs Comparison
Key Takeaways
Qwen3 VL 235B A22B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Qwen3 VL 235B A22B Thinking.