Model Comparison
Llama 3.2 90B Instruct vs Qwen2 7B Instruct
Llama 3.2 90B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.2 90B Instruct outperforms in 3 benchmarks (GPQA, MATH, MMLU), while Qwen2 7B Instruct is better at 0 benchmarks.
Llama 3.2 90B Instruct 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
Llama 3.2 90B Instruct has 82.4B more parameters than Qwen2 7B Instruct, making it 1081.1% larger.
Context Window
Maximum input and output token capacity
Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Llama 3.2 90B Instruct supports multimodal inputs, whereas Qwen2 7B Instruct does not.
Llama 3.2 90B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.2 90B Instruct
Qwen2 7B Instruct
License
Usage and distribution terms
Llama 3.2 90B Instruct is licensed under Llama 3.2, while Qwen2 7B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.2
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.2 90B Instruct was released on 2024-09-25, while Qwen2 7B Instruct was released on 2024-07-23.
Llama 3.2 90B Instruct is 2 months newer than Qwen2 7B Instruct.
Sep 25, 2024
1.6 years ago
2mo newerJul 23, 2024
1.7 years ago
Knowledge 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
Qwen2 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Llama 3.2 90B Instruct vs Qwen2 7B Instruct