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Ministral 3 (3B Instruct 2512) vs Qwen3 32B

Qwen3 32B leads the LLM Stats Score 18.4 to 2.2.

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

Which is better?

Qwen3 32B leads the overall LLM Stats Score 18.4 to 2.2, ranking #218 overall.

In the 1 individual benchmarks reported for both models, Qwen3 32B wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Ministral 3 (3B Instruct 2512)

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

Choose Qwen3 32B

  • overall performance matters — it scores 18.4 and ranks #218 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
2.2
#322
18.4
#218
2.7
#311
18.7
#212
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.08 / M
Output price
— / M
$0.28 / M
Context window
40,960

Individual benchmarks

4 reported for Ministral 3 (3B Instruct 2512) · 9 for Qwen3 32B

1 shared

Ministral 3 (3B Instruct 2512) outperforms in 0 benchmarks, while Qwen3 32B is better at 1 benchmark (Arena Hard).

Qwen3 32B significantly outperforms across most benchmarks.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

29.8B diff

Qwen3 32B has 29.8B more parameters than Ministral 3 (3B Instruct 2512), making it 993.3% larger.

Mistral AI
Ministral 3 (3B Instruct 2512)
3.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
3.0B
Ministral 3 (3B Instruct 2512)
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Only Qwen3 32B specifies input context (40,960 tokens). Only Qwen3 32B specifies output context (40,960 tokens).

Mistral AI
Ministral 3 (3B Instruct 2512)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input40,960 tokens
Output40,960 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Ministral 3 (3B Instruct 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 (3B Instruct 2512)

Apache 2.0

Open weights

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

Ministral 3 (3B Instruct 2512)

Dec 4, 2025

9 months ago

7mo newer
Qwen3 32B

Apr 29, 2025

1.4 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 (3B Instruct 2512) and Qwen3 32B side-by-side, then vote on the output you prefer.

Ministral 3 (3B Instruct 2512)
✓ Preferred
Qwen3 32B
Open in Playground

FAQ

Common questions about Ministral 3 (3B Instruct 2512) vs Qwen3 32B.

Which is better, Ministral 3 (3B Instruct 2512) or Qwen3 32B?

Qwen3 32B leads the LLM Stats Score 18.4 to 2.2. Ministral 3 (3B Instruct 2512) is made by Mistral AI and Qwen3 32B 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 (3B Instruct 2512) compare to Qwen3 32B in benchmarks?

Ministral 3 (3B Instruct 2512) scores MATH: 83.0%, Wild Bench: 56.8%, Arena Hard: 30.5%, MM-MT-Bench: 7.8%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

What are the context window sizes for Ministral 3 (3B Instruct 2512) and Qwen3 32B?

Ministral 3 (3B Instruct 2512) supports an unknown number of tokens and Qwen3 32B supports 41K 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 (3B Instruct 2512) and Qwen3 32B?

Key differences include LLM Stats Score (2.2 vs 18.4), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (3B Instruct 2512) and Qwen3 32B?

Ministral 3 (3B Instruct 2512) is developed by Mistral AI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.