DeepSeek R1 Distill Qwen 32B vs Llama 3.2 90B Instruct
Comparing DeepSeek R1 Distill Qwen 32B by DeepSeek and Llama 3.2 90B Instruct by Meta across benchmarks, pricing, and capabilities.
DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 2.7x cheaper per token.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Llama 3.2 90B Instruct is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 2.9x cheaper than Llama 3.2 90B Instruct ($0.35/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 2.2x cheaper than Llama 3.2 90B Instruct ($0.40/1M tokens).
In conclusion, Llama 3.2 90B Instruct is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 3.2 90B Instruct has 57.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 174.4% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Llama 3.2 90B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.
Llama 3.2 90B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 32B
Llama 3.2 90B Instruct
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Llama 3.2 90B Instruct uses Llama 3.2.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Llama 3.2
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Llama 3.2 90B Instruct was released on 2024-09-25.
DeepSeek R1 Distill Qwen 32B is 4 months newer than Llama 3.2 90B Instruct.
Jan 20, 2025
1.2 years ago
3mo newerSep 25, 2024
1.5 years ago
Knowledge 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 Qwen 32B is available from DeepInfra. Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic. The availability of providers can affect quality of the model and reliability.
DeepSeek R1 Distill Qwen 32B
Llama 3.2 90B Instruct
Outputs Comparison
Key Takeaways
Detailed Comparison
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