Model Comparison

Pixtral Large vs Qwen3 VL 32B Instruct

Pixtral Large significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Pixtral Large outperforms in 2 benchmarks (AI2D, MM-MT-Bench), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

Pixtral Large significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

91.0B diff

Pixtral Large has 91.0B more parameters than Qwen3 VL 32B Instruct, making it 275.8% larger.

Mistral AI
Pixtral Large
124.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
124.0B
Pixtral Large
33.0B
Qwen3 VL 32B Instruct

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).

Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Pixtral Large and Qwen3 VL 32B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Pixtral Large

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Pixtral Large is licensed under Mistral Research License (MRL) for research; Mistral Commercial License for commercial use, while Qwen3 VL 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Pixtral Large was released on 2024-11-18, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 10 months newer than Pixtral Large.

Pixtral Large

Nov 18, 2024

1.4 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

7 months ago

10mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
Higher AI2D score (93.8% vs 89.5%)
Higher MM-MT-Bench score (74.0% vs 8.4%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Pixtral Large
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about Pixtral Large vs Qwen3 VL 32B Instruct

Pixtral Large significantly outperforms across most benchmarks. Pixtral Large is made by Mistral AI and Qwen3 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.
Pixtral Large supports 128K tokens and Qwen3 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Mistral Research License (MRL) for research; Mistral Commercial License for commercial use vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Pixtral Large is developed by Mistral AI and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.