Model Comparison

Ministral 3 (3B Base 2512) vs Qwen2.5 7B Instruct

Qwen2.5 7B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Ministral 3 (3B Base 2512) outperforms in 0 benchmarks, while Qwen2.5 7B Instruct is better at 1 benchmark (MMLU-Redux).

Qwen2.5 7B Instruct significantly outperforms across most benchmarks.

Wed Apr 15 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

Wed Apr 15 2026 • llm-stats.com

Ministral 3 (3B Base 2512)

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

Qwen2.5 7B Instruct

Input tokens$0.30

Output tokens$0.30

Best providerTogether

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Model Size

Parameter count comparison

4.6B diff

Qwen2.5 7B Instruct has 4.6B more parameters than Ministral 3 (3B Base 2512), making it 153.7% larger.

Ministral 3 (3B Base 2512)

3.0Bparameters

Qwen2.5 7B Instruct

7.6Bparameters

3.0B

Ministral 3 (3B Base 2512)

7.6B

Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Ministral 3 (3B Base 2512)

Input- tokens

Output- tokens

Qwen2.5 7B Instruct

Input131,072 tokens

Output8,192 tokens

Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (3B Base 2512) supports multimodal inputs, whereas Qwen2.5 7B Instruct does not.

Ministral 3 (3B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ministral 3 (3B Base 2512)

Text

Images

Audio

Video

Qwen2.5 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.

Ministral 3 (3B Base 2512)

Apache 2.0

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (3B Base 2512) was released on 2025-12-04, while Qwen2.5 7B Instruct was released on 2024-09-19.

Ministral 3 (3B Base 2512) is 15 months newer than Qwen2.5 7B Instruct.

Ministral 3 (3B Base 2512)

Dec 4, 2025

4 months ago

1.2yr newer

Qwen2.5 7B Instruct

Sep 19, 2024

1.6 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

Ministral 3 (3B Base 2512)

View details

Mistral AI

Supports multimodal inputs

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Higher MMLU-Redux score (75.4% vs 73.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Ministral 3 (3B Base 2512)	Qwen2.5 7B Instruct

FAQ

Common questions about Ministral 3 (3B Base 2512) vs Qwen2.5 7B Instruct

Qwen2.5 7B Instruct significantly outperforms across most benchmarks. Ministral 3 (3B Base 2512) is made by Mistral AI and Qwen2.5 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.

Ministral 3 (3B Base 2512) scores MMLU-Redux: 73.5%, MMLU: 70.7%, Multilingual MMLU: 65.2%, MATH (CoT): 60.1%, TriviaQA: 59.2%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

Ministral 3 (3B Base 2512) supports an unknown number of tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Ministral 3 (3B Base 2512) is developed by Mistral AI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.

Ministral 3 (3B Base 2512) vs Qwen2.5 7B Instruct

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Ministral 3 (3B Base 2512)

Qwen2.5 7B Instruct

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Ministral 3 (3B Base 2512)

Qwen2.5 7B Instruct

Detailed Comparison

FAQ

Which is better, Ministral 3 (3B Base 2512) or Qwen2.5 7B Instruct?

How does Ministral 3 (3B Base 2512) compare to Qwen2.5 7B Instruct in benchmarks?

What are the context window sizes for Ministral 3 (3B Base 2512) and Qwen2.5 7B Instruct?

What are the main differences between Ministral 3 (3B Base 2512) and Qwen2.5 7B Instruct?

Who makes Ministral 3 (3B Base 2512) and Qwen2.5 7B Instruct?