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Ministral 3 (3B Base 2512) vs Qwen2.5-Coder 32B Instruct

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

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

Which is better?

Ministral 3 (3B Base 2512) outperforms in 0 benchmarks, while Qwen2.5-Coder 32B Instruct is better at 2 benchmarks (MMLU, MMLU-Redux). Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Ministral 3 (3B Base 2512)

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

Choose Qwen2.5-Coder 32B Instruct

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

At a glance

The differences that matter most.

Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.09 / M
Output price
— / M
$0.09 / M
Context window
128,000
Released
Dec 2025
Sep 2024
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Ministral 3 (3B Base 2512) outperforms in 0 benchmarks, while Qwen2.5-Coder 32B Instruct is better at 2 benchmarks (MMLU, MMLU-Redux).

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

29.0B diff

Qwen2.5-Coder 32B Instruct has 29.0B more parameters than Ministral 3 (3B Base 2512), making it 966.7% larger.

Mistral AI
Ministral 3 (3B Base 2512)
3.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
3.0B
Ministral 3 (3B Base 2512)
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

Mistral AI
Ministral 3 (3B Base 2512)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Fri Aug 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (3B Base 2512) supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.

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

Ministral 3 (3B Base 2512)

Text
Images
Audio
Video

Qwen2.5-Coder 32B 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 (3B Base 2512)

Apache 2.0

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (3B Base 2512) was released on 2025-12-04, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Ministral 3 (3B Base 2512) is 15 months newer than Qwen2.5-Coder 32B Instruct.

Ministral 3 (3B Base 2512)

Dec 4, 2025

8 months ago

1.2yr newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.9 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 Base 2512) and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.

Ministral 3 (3B Base 2512)
✓ Preferred
Qwen2.5-Coder 32B Instruct
Open in Playground

FAQ

Common questions about Ministral 3 (3B Base 2512) vs Qwen2.5-Coder 32B Instruct.

Which is better, Ministral 3 (3B Base 2512) or Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Ministral 3 (3B Base 2512) is made by Mistral AI and Qwen2.5-Coder 32B 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 (3B Base 2512) compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Ministral 3 (3B Base 2512) scores MMLU-Redux: 73.5%, MMLU: 70.7%, Multilingual MMLU: 65.2%, MATH (CoT): 60.1%, TriviaQA: 59.2%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

What are the context window sizes for Ministral 3 (3B Base 2512) and Qwen2.5-Coder 32B Instruct?

Ministral 3 (3B Base 2512) supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K 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 Base 2512) and Qwen2.5-Coder 32B Instruct?

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

Who makes Ministral 3 (3B Base 2512) and Qwen2.5-Coder 32B Instruct?

Ministral 3 (3B Base 2512) is developed by Mistral AI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.