Ministral 8B Instruct vs Qwen2.5-Omni-7B Comparison
Comparing Ministral 8B Instruct and Qwen2.5-Omni-7B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 8B Instruct outperforms in 0 benchmarks, while Qwen2.5-Omni-7B is better at 2 benchmarks (HumanEval, MATH).
Qwen2.5-Omni-7B 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
Ministral 8B Instruct has 1.0B more parameters than Qwen2.5-Omni-7B, making it 14.6% larger.
Context Window
Maximum input and output token capacity
Only Ministral 8B Instruct specifies input context (128,000 tokens). Only Ministral 8B Instruct specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen2.5-Omni-7B supports multimodal inputs, whereas Ministral 8B Instruct does not.
Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ministral 8B Instruct
Qwen2.5-Omni-7B
License
Usage and distribution terms
Ministral 8B Instruct is licensed under Mistral Research License, 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.
Mistral Research License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Ministral 8B Instruct was released on 2024-10-16, while Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 5 months newer than Ministral 8B Instruct.
Oct 16, 2024
1.4 years ago
Mar 27, 2025
11 months ago
5mo 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
Ministral 8B Instruct
View detailsMistral AI
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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