Pixtral Large vs Qwen2-VL-72B-Instruct
Pixtral Large and Qwen2-VL-72B-Instruct are closely matched at 11.8 and 14.3 on the LLM Stats Score.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Pixtral Large and Qwen2-VL-72B-Instruct are closely matched on the overall LLM Stats Score at 11.8 and 14.3.
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 Pixtral Large
- you want the most recent training data — it shipped Nov 2024
Choose Qwen2-VL-72B-Instruct
- 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
7 reported for Pixtral Large · 15 for Qwen2-VL-72B-Instruct
Pixtral Large 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
Pixtral Large has 50.6B more parameters than Qwen2-VL-72B-Instruct, making it 68.9% larger.
Context Window
Maximum input and output token capacity
Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Pixtral Large and Qwen2-VL-72B-Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Pixtral Large
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
Pixtral Large is licensed under Mistral Research License (MRL) for research; Mistral Commercial License for commercial use, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
Pixtral Large was released on 2024-11-18, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
Pixtral Large is 3 months newer than Qwen2-VL-72B-Instruct.
Nov 18, 2024
1.8 years ago
2mo newerAug 29, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Pixtral Large's cutoff date is not specified.
We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Pixtral Large's cutoff date.
—
Jun 2023
Outputs Comparison
Judge for yourself.
Run your own prompts against Pixtral Large and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Pixtral Large vs Qwen2-VL-72B-Instruct.