Model Comparison

Ministral 3 (8B Base 2512) vs Qwen3 32B

Comparing Ministral 3 (8B Base 2512) and Qwen3 32B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Ministral 3 (8B Base 2512) and Qwen3 32B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Mistral AI
Ministral 3 (8B Base 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

24.8B diff

Qwen3 32B has 24.8B more parameters than Ministral 3 (8B Base 2512), making it 310.0% larger.

Mistral AI
Ministral 3 (8B Base 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
8.0B
Ministral 3 (8B Base 2512)
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).

Mistral AI
Ministral 3 (8B Base 2512)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (8B Base 2512) supports multimodal inputs, whereas Qwen3 32B does not.

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

Ministral 3 (8B Base 2512)

Text
Images
Audio
Video

Qwen3 32B

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 (8B Base 2512)

Apache 2.0

Open weights

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (8B Base 2512) was released on 2025-12-04, while Qwen3 32B was released on 2025-04-29.

Ministral 3 (8B Base 2512) is 7 months newer than Qwen3 32B.

Ministral 3 (8B Base 2512)

Dec 4, 2025

4 months ago

7mo newer
Qwen3 32B

Apr 29, 2025

11 months 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

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Key Takeaways

Mistral AI
Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (8B Base 2512)
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about Ministral 3 (8B Base 2512) vs Qwen3 32B

Ministral 3 (8B Base 2512) (Mistral AI) and Qwen3 32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Ministral 3 (8B Base 2512) scores MMLU-Redux: 79.3%, MMLU: 76.1%, Multilingual MMLU: 70.6%, TriviaQA: 68.1%, MATH (CoT): 62.6%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
Ministral 3 (8B Base 2512) supports an unknown number of tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Ministral 3 (8B Base 2512) is developed by Mistral AI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.