Model Comparison
Mistral Small 3.1 24B Base vs Qwen3 VL 32B ThinkingWhich is better in 2026?
Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Verdict: Mistral Small 3.1 24B Base vs Qwen3 VL 32B Thinking — which is better?
Mistral Small 3.1 24B Base (by Mistral AI) and Qwen3 VL 32B Thinking (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 0 benchmarks, while Qwen3 VL 32B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro). Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Choose Mistral Small 3.1 24B Base if…
- you want predictable pricing at $0.10/M input and $0.30/M output
Choose Qwen3 VL 32B Thinking if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Small 3.1 24B Base outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).
Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3 VL 32B Thinking has 9.0B more parameters than Mistral Small 3.1 24B Base, making it 37.5% 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 Qwen3 VL 32B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Small 3.1 24B Base
Qwen3 VL 32B 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
Mistral Small 3.1 24B Base was released on 2025-03-17, while Qwen3 VL 32B Thinking was released on 2025-09-22.
Qwen3 VL 32B Thinking is 6 months newer than Mistral Small 3.1 24B Base.
Mar 17, 2025
1.3 years ago
Sep 22, 2025
10 months ago
6mo newerKnowledge 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
Qwen3 VL 32B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Mistral Small 3.1 24B Base and Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking.