Model Comparison

Min istral 3 (3B Reasoning 2512) vs Qwen2.5 VL 7B Instruct

Comparing Min istral 3 (3B Reasoning 2512) and Qwen2.5 VL 7B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Min istral 3 (3B Reasoning 2512) and Qwen2.5 VL 7B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Mistral AI
Min istral 3 (3B Reasoning 2512)
Input tokens$0.10
Output tokens$0.10
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

5.3B diff

Qwen2.5 VL 7B Instruct has 5.3B more parameters than Min istral 3 (3B Reasoning 2512), making it 176.3% larger.

Mistral AI
Min istral 3 (3B Reasoning 2512)
3.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
3.0B
Min istral 3 (3B Reasoning 2512)
8.3B
Qwen2.5 VL 7B Instruct

Context Window

Maximum input and output token capacity

Only Min istral 3 (3B Reasoning 2512) specifies input context (131,100 tokens). Only Min istral 3 (3B Reasoning 2512) specifies output context (131,100 tokens).

Mistral AI
Min istral 3 (3B Reasoning 2512)
Input131,100 tokens
Output131,100 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Min istral 3 (3B Reasoning 2512) and Qwen2.5 VL 7B Instruct support multimodal inputs.

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

Min istral 3 (3B Reasoning 2512)

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Min istral 3 (3B Reasoning 2512)

Apache 2.0

Open weights

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Min istral 3 (3B Reasoning 2512) was released on 2025-12-04, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Min istral 3 (3B Reasoning 2512) is 10 months newer than Qwen2.5 VL 7B Instruct.

Min istral 3 (3B Reasoning 2512)

Dec 4, 2025

4 months ago

10mo newer
Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.2 years ago

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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (131,100 tokens)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

FAQ

Common questions about Min istral 3 (3B Reasoning 2512) vs Qwen2.5 VL 7B Instruct

Min istral 3 (3B Reasoning 2512) (Mistral AI) and Qwen2.5 VL 7B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Min istral 3 (3B Reasoning 2512) scores AIME 2024: 77.5%, AIME 2025: 72.1%, LiveCodeBench: 54.8%, GPQA: 53.4%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.
Min istral 3 (3B Reasoning 2512) supports 131K tokens and Qwen2.5 VL 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Min istral 3 (3B Reasoning 2512) is developed by Mistral AI and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.