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MiniStral 3 (14B Instruct 2512) vs Qwen2.5 72B Instruct

MiniStral 3 (14B Instruct 2512) and Qwen2.5 72B Instruct are closely matched at 10.1 and 12.1 on the LLM Stats Score.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiniStral 3 (14B Instruct 2512) and Qwen2.5 72B Instruct are closely matched on the overall LLM Stats Score at 10.1 and 12.1.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiniStral 3 (14B Instruct 2512)

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

Choose Qwen2.5 72B Instruct

  • you want predictable pricing at $0.35/M input and $0.40/M output

At a glance

The differences that matter most.

MiniStral 3 (14B Instruct 2512)
Mistral AI
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
10.1
#264
12.1
#252
Reasoning
11.9
#247
12.2
#244
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
—
131,072

Individual benchmarks

4 reported for MiniStral 3 (14B Instruct 2512) · 14 for Qwen2.5 72B Instruct

2 shared

MiniStral 3 (14B 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.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

58.7B diff

Qwen2.5 72B Instruct has 58.7B more parameters than MiniStral 3 (14B Instruct 2512), making it 419.3% larger.

Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
14.0B
MiniStral 3 (14B 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).

Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiniStral 3 (14B Instruct 2512) supports multimodal inputs, whereas Qwen2.5 72B 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 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

MiniStral 3 (14B 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 (14B Instruct 2512)

Apache 2.0

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

MiniStral 3 (14B Instruct 2512) was released on 2025-12-04, while Qwen2.5 72B Instruct was released on 2024-09-19.

MiniStral 3 (14B Instruct 2512) is 15 months newer than Qwen2.5 72B Instruct.

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

9 months ago

1.2yr newer
Qwen2.5 72B Instruct

Sep 19, 2024

2.0 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→

Judge for yourself.

Run your own prompts against MiniStral 3 (14B Instruct 2512) and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.

MiniStral 3 (14B Instruct 2512)
✓ Preferred
Qwen2.5 72B Instruct
Open in Playground

FAQ

Common questions about MiniStral 3 (14B Instruct 2512) vs Qwen2.5 72B Instruct.

Which is better, MiniStral 3 (14B Instruct 2512) or Qwen2.5 72B Instruct?

MiniStral 3 (14B Instruct 2512) and Qwen2.5 72B Instruct are closely matched on the LLM Stats Score at 10.1 and 12.1. MiniStral 3 (14B 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 capability indexes, individual benchmarks, pricing, and limits above.

How does MiniStral 3 (14B Instruct 2512) compare to Qwen2.5 72B Instruct in benchmarks?

MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for MiniStral 3 (14B Instruct 2512) and Qwen2.5 72B Instruct?

MiniStral 3 (14B 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.

What are the main differences between MiniStral 3 (14B Instruct 2512) and Qwen2.5 72B Instruct?

Key differences include LLM Stats Score (10.1 vs 12.1), multimodal support (yes vs no), licensing (Apache 2.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniStral 3 (14B Instruct 2512) and Qwen2.5 72B Instruct?

MiniStral 3 (14B Instruct 2512) is developed by Mistral AI and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.

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