Model Comparison
Ministral 3 (8B Base 2512) vs Qwen2.5-Omni-7B
Ministral 3 (8B Base 2512) significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 3 (8B Base 2512) outperforms in 1 benchmarks (MMLU-Redux), while Qwen2.5-Omni-7B is better at 0 benchmarks.
Ministral 3 (8B Base 2512) 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 3 (8B Base 2512) has 1.0B more parameters than Qwen2.5-Omni-7B, making it 14.3% larger.
Input Capabilities
Supported data types and modalities
Both Ministral 3 (8B Base 2512) and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Ministral 3 (8B Base 2512)
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
Ministral 3 (8B Base 2512) was released on 2025-12-04, while Qwen2.5-Omni-7B was released on 2025-03-27.
Ministral 3 (8B Base 2512) is 8 months newer than Qwen2.5-Omni-7B.
Dec 4, 2025
4 months ago
8mo newerMar 27, 2025
1.1 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
Ministral 3 (8B Base 2512)
View detailsMistral AI
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Ministral 3 (8B Base 2512) vs Qwen2.5-Omni-7B