Model Comparison
Ministral 3 (8B Reasoning 2512) vs Qwen2.5-Omni-7B
Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 3 (8B Reasoning 2512) outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 0 benchmarks.
Ministral 3 (8B Reasoning 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 Reasoning 2512) has 1.0B more parameters than Qwen2.5-Omni-7B, making it 14.3% larger.
Context Window
Maximum input and output token capacity
Only Ministral 3 (8B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).
Input Capabilities
Supported data types and modalities
Both Ministral 3 (8B Reasoning 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 Reasoning 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 Reasoning 2512) was released on 2025-12-04, while Qwen2.5-Omni-7B was released on 2025-03-27.
Ministral 3 (8B Reasoning 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
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Ministral 3 (8B Reasoning 2512) vs Qwen2.5-Omni-7B