Mistral Small 3.2 24B Instruct vs Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to 8.4.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.3 to 8.4, ranking #236 overall.
In the 1 individual benchmarks reported for both models, Qwen2-VL-72B-Instruct wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Small 3.2 24B Instruct
- you want the most recent training data — it shipped Jun 2025
Choose Qwen2-VL-72B-Instruct
- overall performance matters — it scores 14.3 and ranks #236 on LLM Stats
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for Mistral Small 3.2 24B Instruct · 15 for Qwen2-VL-72B-Instruct
Mistral Small 3.2 24B Instruct outperforms in 0 benchmarks, while Qwen2-VL-72B-Instruct is better at 1 benchmark (ChartQA).
Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2-VL-72B-Instruct has 49.8B more parameters than Mistral Small 3.2 24B Instruct, making it 211.0% larger.
Context Window
Maximum input and output token capacity
Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Small 3.2 24B Instruct and Qwen2-VL-72B-Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Small 3.2 24B Instruct
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
Mistral Small 3.2 24B Instruct is licensed under Apache 2.0, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
Mistral Small 3.2 24B Instruct was released on 2025-06-20, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
Mistral Small 3.2 24B Instruct is 10 months newer than Qwen2-VL-72B-Instruct.
Jun 20, 2025
1.2 years ago
9mo newerAug 29, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Mistral Small 3.2 24B Instruct has a knowledge cutoff of 2023-10-01, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.
Mistral Small 3.2 24B Instruct has more recent training data (up to 2023-10-01), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).
Oct 2023
4 mo newerJun 2023
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Small 3.2 24B Instruct and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Small 3.2 24B Instruct vs Qwen2-VL-72B-Instruct.
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