Model Comparison
Mistral Small 3 24B Base vs Qwen2.5-Omni-7B
Qwen2.5-Omni-7B has a slight edge in benchmark performance.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Small 3 24B Base outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5-Omni-7B is better at 3 benchmarks (GSM8k, MATH, MBPP).
Qwen2.5-Omni-7B 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
Mistral Small 3 24B Base has 16.6B more parameters than Qwen2.5-Omni-7B, making it 237.1% larger.
Input Capabilities
Supported data types and modalities
Both Mistral Small 3 24B Base and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Small 3 24B Base
Qwen2.5-Omni-7B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mistral Small 3 24B Base was released on 2025-01-30, while Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 2 months newer than Mistral Small 3 24B Base.
Jan 30, 2025
1.2 years ago
Mar 27, 2025
1.1 years ago
1mo newerKnowledge Cutoff
When training data ends
Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while Qwen2.5-Omni-7B's cutoff date is not specified.
We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.
Oct 2023
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Outputs Comparison
Key Takeaways
Mistral Small 3 24B Base
View detailsMistral AI
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Mistral Small 3 24B Base vs Qwen2.5-Omni-7B