Model Comparison

Mistral Small 3.1 24B Base vs Qwen2.5 VL 7B Instruct

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Small 3.1 24B Base outperforms in 1 benchmarks (MMMU), while Qwen2.5 VL 7B Instruct is better at 0 benchmarks.

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

15.7B diff

Mistral Small 3.1 24B Base has 15.7B more parameters than Qwen2.5 VL 7B Instruct, making it 189.5% larger.

Mistral Small 3.1 24B Base

24.0Bparameters

Qwen2.5 VL 7B Instruct

8.3Bparameters

24.0B

Mistral Small 3.1 24B Base

8.3B

Qwen2.5 VL 7B Instruct

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).

Mistral Small 3.1 24B Base

Input128,000 tokens

Output128,000 tokens

Qwen2.5 VL 7B Instruct

Input- tokens

Output- tokens

Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct support multimodal inputs.

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

Mistral Small 3.1 24B Base

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.

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Qwen2.5 VL 7B Instruct

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 Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Mistral Small 3.1 24B Base is 2 months newer than Qwen2.5 VL 7B Instruct.

Mistral Small 3.1 24B Base

Mar 17, 2025

1.2 years ago

1mo newer

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.3 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

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Key Takeaways

Mistral Small 3.1 24B Base

View details

Mistral AI

Larger context window (128,000 tokens)

Higher MMMU score (59.3% vs 58.6%)

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature	Mistral Small 3.1 24B Base	Qwen2.5 VL 7B Instruct

FAQ

Common questions about Mistral Small 3.1 24B Base vs Qwen2.5 VL 7B Instruct.

Which is better, Mistral Small 3.1 24B Base or Qwen2.5 VL 7B Instruct?

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is made by Mistral AI and Qwen2.5 VL 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Small 3.1 24B Base compare to Qwen2.5 VL 7B Instruct in benchmarks?

Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%. 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%.

What are the context window sizes for Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct?

Mistral Small 3.1 24B Base supports 128K 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.

Who makes Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct?

Mistral Small 3.1 24B Base is developed by Mistral AI and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.