Model Comparison
Llama 3.2 90B Instruct vs Qwen2.5-Omni-7B
Llama 3.2 90B Instruct has a slight edge in benchmark performance.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.2 90B Instruct outperforms in 5 benchmarks (AI2D, ChartQA, GPQA, MMMU, MMMU-Pro), while Qwen2.5-Omni-7B is better at 4 benchmarks (DocVQA, MATH, MathVista, TextVQA).
Llama 3.2 90B Instruct has a slight edge in benchmark performance.
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 83.0B more parameters than Qwen2.5-Omni-7B, making it 1185.7% 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
Both Llama 3.2 90B Instruct and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 3.2 90B Instruct
Qwen2.5-Omni-7B
License
Usage and distribution terms
Llama 3.2 90B Instruct is licensed under Llama 3.2, while Qwen2.5-Omni-7B 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 Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 6 months newer than Llama 3.2 90B Instruct.
Sep 25, 2024
1.6 years ago
Mar 27, 2025
1.1 years ago
6mo 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
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Llama 3.2 90B Instruct vs Qwen2.5-Omni-7B