Model Comparison

Ministral 3 (14B Base 2512) vs Qwen2.5 14B InstructWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Ministral 3 (14B Base 2512) vs Qwen2.5 14B Instruct — which is better?

Ministral 3 (14B Base 2512) (by Mistral AI) and Qwen2.5 14B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Ministral 3 (14B Base 2512) outperforms in 1 benchmarks (MMLU-Redux), while Qwen2.5 14B Instruct is better at 1 benchmark (MMLU). Both models are evenly matched across the benchmarks.

Choose Ministral 3 (14B Base 2512) if…

  • you want the most recent training data — it shipped Dec 2025

Choose Qwen2.5 14B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Ministral 3 (14B Base 2512) outperforms in 1 benchmarks (MMLU-Redux), while Qwen2.5 14B Instruct is better at 1 benchmark (MMLU).

Both models are evenly matched across the benchmarks.

Thu Jul 23 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

700.0M diff

Qwen2.5 14B Instruct has 0.7B more parameters than Ministral 3 (14B Base 2512), making it 5.0% larger.

Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
14.0B
Ministral 3 (14B Base 2512)
14.7B
Qwen2.5 14B Instruct

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Base 2512) supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

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

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

Qwen2.5 14B 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 Base 2512)

Apache 2.0

Open weights

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

Ministral 3 (14B Base 2512) is 15 months newer than Qwen2.5 14B Instruct.

Ministral 3 (14B Base 2512)

Dec 4, 2025

7 months ago

1.2yr newer
Qwen2.5 14B Instruct

Sep 19, 2024

1.8 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

Mistral AI
Supports multimodal inputs
Higher MMLU-Redux score (82.0% vs 80.0%)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Higher MMLU score (79.7% vs 79.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Ministral 3 (14B Base 2512) and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.

Ministral 3 (14B Base 2512)
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (14B Base 2512)
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct

FAQ

Common questions about Ministral 3 (14B Base 2512) vs Qwen2.5 14B Instruct.

Which is better, Ministral 3 (14B Base 2512) or Qwen2.5 14B Instruct?

Both models are evenly matched across the benchmarks. Ministral 3 (14B Base 2512) is made by Mistral AI and Qwen2.5 14B 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 Ministral 3 (14B Base 2512) compare to Qwen2.5 14B Instruct in benchmarks?

Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the main differences between Ministral 3 (14B Base 2512) and Qwen2.5 14B Instruct?

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

Who makes Ministral 3 (14B Base 2512) and Qwen2.5 14B Instruct?

Ministral 3 (14B Base 2512) is developed by Mistral AI and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.

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