Model Comparison

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

Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (8B Reasoning 2512) is 2.4x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Ministral 3 (8B Reasoning 2512) outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Qwen2.5 72B Instruct is better at 0 benchmarks.

Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Ministral 3 (8B Reasoning 2512) costs less

For input processing, Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens) is 2.3x cheaper than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens) is 2.7x cheaper than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, Qwen2.5 72B Instruct is more expensive than Ministral 3 (8B Reasoning 2512).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Alibaba Cloud / Qwen Team
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 Reasoning 2512), making it 808.8% larger.

Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
8.0B
Ministral 3 (8B Reasoning 2512)
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Ministral 3 (8B Reasoning 2512) accepts 262,100 input tokens compared to Qwen2.5 72B Instruct's 131,072 tokens. Ministral 3 (8B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.

Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (8B Reasoning 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 Reasoning 2512)

Apache 2.0

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

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

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

Ministral 3 (8B Reasoning 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

Provider Availability

Ministral 3 (8B Reasoning 2512) is available from Mistral AI. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.

Ministral 3 (8B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (262,100 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (66.8% vs 49.0%)
Higher LiveCodeBench score (61.6% vs 55.5%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

FAQ

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

Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (8B Reasoning 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 Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%. 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 Reasoning 2512) is 2.3x cheaper for input tokens. Ministral 3 (8B Reasoning 2512) costs $0.15/M input and $0.15/M output via mistral. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra.
Ministral 3 (8B Reasoning 2512) supports 262K 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 context window (262K vs 131K), input pricing ($0.15 vs $0.35/M), multimodal support (yes vs no), licensing (Apache 2.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Ministral 3 (8B Reasoning 2512) is developed by Mistral AI and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.