Model Comparison

MiniStral 3 (14B Instruct 2512) vs Qwen2.5-Coder 7B Instruct

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

MiniStral 3 (14B Instruct 2512) outperforms in 1 benchmarks (MATH), while Qwen2.5-Coder 7B Instruct is better at 0 benchmarks.

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Fri Apr 17 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
Fri Apr 17 2026 • llm-stats.com
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

7.0B diff

MiniStral 3 (14B Instruct 2512) has 7.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 100.0% larger.

Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
7.0Bparameters
14.0B
MiniStral 3 (14B Instruct 2512)
7.0B
Qwen2.5-Coder 7B Instruct

Input Capabilities

Supported data types and modalities

MiniStral 3 (14B Instruct 2512) supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.

MiniStral 3 (14B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

Qwen2.5-Coder 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 (14B Instruct 2512)

Apache 2.0

Open weights

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniStral 3 (14B Instruct 2512) was released on 2025-12-04, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

MiniStral 3 (14B Instruct 2512) is 15 months newer than Qwen2.5-Coder 7B Instruct.

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

4 months ago

1.2yr newer
Qwen2.5-Coder 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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Supports multimodal inputs
Higher MATH score (90.4% vs 46.6%)
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

FAQ

Common questions about MiniStral 3 (14B Instruct 2512) vs Qwen2.5-Coder 7B Instruct

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks. MiniStral 3 (14B Instruct 2512) is made by Mistral AI and Qwen2.5-Coder 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 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
MiniStral 3 (14B Instruct 2512) is developed by Mistral AI and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.