Model Comparison
Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen2.5-Omni-7B
Mistral Large 3 (675B Instruct 2512 NVFP4) significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 0 benchmarks.
Mistral Large 3 (675B Instruct 2512 NVFP4) 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
Mistral Large 3 (675B Instruct 2512 NVFP4) has 668.0B more parameters than Qwen2.5-Omni-7B, making it 9542.9% larger.
Input Capabilities
Supported data types and modalities
Both Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 3 (675B Instruct 2512 NVFP4)
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 Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04, while Qwen2.5-Omni-7B was released on 2025-03-27.
Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen2.5-Omni-7B