Model Comparison

Ministral 3 (14B Reasoning 2512) vs QwQ-32B-Preview

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. QwQ-32B-Preview is 1.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Ministral 3 (14B Reasoning 2512) outperforms in 3 benchmarks (AIME 2024, GPQA, LiveCodeBench), while QwQ-32B-Preview is better at 0 benchmarks.

Ministral 3 (14B 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

QwQ-32B-Preview costs less

For input processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 1.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) costs the same as QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, Ministral 3 (14B Reasoning 2512) is more expensive than QwQ-32B-Preview.*

* 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 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

18.5B diff

QwQ-32B-Preview has 18.5B more parameters than Ministral 3 (14B Reasoning 2512), making it 132.1% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
14.0B
Ministral 3 (14B Reasoning 2512)
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas QwQ-32B-Preview does not.

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

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

QwQ-32B-Preview

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 Reasoning 2512)

Apache 2.0

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while QwQ-32B-Preview was released on 2024-11-28.

Ministral 3 (14B Reasoning 2512) is 12 months newer than QwQ-32B-Preview.

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

4 months ago

1.0yr newer
QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Ministral 3 (14B Reasoning 2512)'s cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Ministral 3 (14B Reasoning 2512)'s cutoff date.

Ministral 3 (14B Reasoning 2512)

—

QwQ-32B-Preview

Nov 2024

Provider Availability

Ministral 3 (14B Reasoning 2512) is available from Mistral AI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Higher AIME 2024 score (89.8% vs 50.0%)
Higher GPQA score (71.2% vs 65.2%)
Higher LiveCodeBench score (64.6% vs 50.0%)
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (14B Reasoning 2512)
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs QwQ-32B-Preview

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (14B Reasoning 2512) is made by Mistral AI and QwQ-32B-Preview 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 Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
QwQ-32B-Preview is 1.3x cheaper for input tokens. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
Ministral 3 (14B Reasoning 2512) supports 262K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 33K), input pricing ($0.20 vs $0.15/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Ministral 3 (14B Reasoning 2512) is developed by Mistral AI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.