Model Comparison
Mistral Small 3.1 24B Base vs Qwen2.5 VL 7B InstructWhich is better in 2026?
Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.
Verdict: Mistral Small 3.1 24B Base vs Qwen2.5 VL 7B Instruct — which is better?
Mistral Small 3.1 24B Base (by Mistral AI) and Qwen2.5 VL 7B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Mistral Small 3.1 24B Base outperforms in 1 benchmarks (MMMU), while Qwen2.5 VL 7B Instruct is better at 0 benchmarks. Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.
Choose Mistral Small 3.1 24B Base if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Mar 2025
Choose Qwen2.5 VL 7B Instruct if…
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Small 3.1 24B Base outperforms in 1 benchmarks (MMMU), while Qwen2.5 VL 7B Instruct is better at 0 benchmarks.
Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Mistral Small 3.1 24B Base has 15.7B more parameters than Qwen2.5 VL 7B Instruct, making it 189.5% larger.
Context Window
Maximum input and output token capacity
Only Mistral Small 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Small 3.1 24B Base
Qwen2.5 VL 7B Instruct
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 3.1 24B Base was released on 2025-03-17, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.
Mistral Small 3.1 24B Base is 2 months newer than Qwen2.5 VL 7B Instruct.
Mar 17, 2025
1.3 years ago
1mo newerJan 26, 2025
1.5 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
Mistral Small 3.1 24B Base
View detailsMistral AI
Qwen2.5 VL 7B Instruct
View detailsAlibaba Cloud / Qwen Team
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Mistral Small 3.1 24B Base vs Qwen2.5 VL 7B Instruct.