Model Comparison

Ministral 3 (8B Instruct 2512) vs Qwen2.5 72B Instruct

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Ministral 3 (8B Instruct 2512) outperforms in 1 benchmarks (MATH), while Qwen2.5 72B Instruct is better at 1 benchmark (Arena Hard).

Both models are evenly matched across the 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 (8B Instruct 2512)

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

Qwen2.5 72B Instruct

Input tokens$0.35

Output tokens$0.40

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

64.7B diff

Qwen2.5 72B Instruct has 64.7B more parameters than Ministral 3 (8B Instruct 2512), making it 808.8% larger.

Ministral 3 (8B Instruct 2512)

8.0Bparameters

Qwen2.5 72B Instruct

72.7Bparameters

8.0B

Ministral 3 (8B Instruct 2512)

72.7B

Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Ministral 3 (8B Instruct 2512)

Input- tokens

Output- tokens

Qwen2.5 72B Instruct

Input131,072 tokens

Output8,192 tokens

Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (8B Instruct 2512) supports multimodal inputs, whereas Qwen2.5 72B Instruct does not.

Ministral 3 (8B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ministral 3 (8B Instruct 2512)

Text

Images

Audio

Video

Qwen2.5 72B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Ministral 3 (8B Instruct 2512) is licensed under Apache 2.0, while Qwen2.5 72B Instruct uses Qwen.

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

Ministral 3 (8B Instruct 2512)

Apache 2.0

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Ministral 3 (8B Instruct 2512) was released on 2025-12-04, while Qwen2.5 72B Instruct was released on 2024-09-19.

Ministral 3 (8B Instruct 2512) is 15 months newer than Qwen2.5 72B Instruct.

Ministral 3 (8B Instruct 2512)

Dec 4, 2025

4 months ago

1.2yr newer

Qwen2.5 72B 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 (8B Instruct 2512)

View details

Mistral AI

Supports multimodal inputs

Higher MATH score (87.6% vs 83.1%)

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Higher Arena Hard score (81.2% vs 50.9%)

Detailed Comparison

AI Model Comparison Table
Feature	Ministral 3 (8B Instruct 2512)	Qwen2.5 72B Instruct

FAQ

Common questions about Ministral 3 (8B Instruct 2512) vs Qwen2.5 72B Instruct

Both models are evenly matched across the benchmarks. Ministral 3 (8B Instruct 2512) is made by Mistral AI and Qwen2.5 72B 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 (8B Instruct 2512) scores MATH: 87.6%, Wild Bench: 66.8%, Arena Hard: 50.9%, MM-MT-Bench: 8.1%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

Ministral 3 (8B Instruct 2512) supports an unknown number of tokens and Qwen2.5 72B 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), licensing (Apache 2.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Ministral 3 (8B Instruct 2512) is developed by Mistral AI and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.

Ministral 3 (8B Instruct 2512) vs Qwen2.5 72B Instruct

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Ministral 3 (8B Instruct 2512)

Qwen2.5 72B Instruct

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Ministral 3 (8B Instruct 2512)

Qwen2.5 72B Instruct

Detailed Comparison

FAQ

Which is better, Ministral 3 (8B Instruct 2512) or Qwen2.5 72B Instruct?

How does Ministral 3 (8B Instruct 2512) compare to Qwen2.5 72B Instruct in benchmarks?

What are the context window sizes for Ministral 3 (8B Instruct 2512) and Qwen2.5 72B Instruct?

What are the main differences between Ministral 3 (8B Instruct 2512) and Qwen2.5 72B Instruct?

Who makes Ministral 3 (8B Instruct 2512) and Qwen2.5 72B Instruct?