Model Comparison
Ministral 3 (3B Instruct 2512) vs Qwen3 VL 8B Thinking
Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 3 (3B Instruct 2512) outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 1 benchmark (MM-MT-Bench).
Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3 VL 8B Thinking has 6.0B more parameters than Ministral 3 (3B Instruct 2512), making it 200.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).
Input Capabilities
Supported data types and modalities
Both Ministral 3 (3B Instruct 2512) and Qwen3 VL 8B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Ministral 3 (3B Instruct 2512)
Qwen3 VL 8B Thinking
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 (3B Instruct 2512) was released on 2025-12-04, while Qwen3 VL 8B Thinking was released on 2025-09-22.
Ministral 3 (3B Instruct 2512) is 2 months newer than Qwen3 VL 8B Thinking.
Dec 4, 2025
5 months ago
2mo newerSep 22, 2025
8 months 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
No standout differentiators in the data we have for this pair.
Qwen3 VL 8B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about Ministral 3 (3B Instruct 2512) vs Qwen3 VL 8B Thinking.