Model Comparison

Ministral 3 (8B Instruct 2512) vs Qwen3 MaxWhich is better in 2026?

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

Verdict: Ministral 3 (8B Instruct 2512) vs Qwen3 Max — which is better?

Ministral 3 (8B Instruct 2512) (by Mistral AI) and Qwen3 Max (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Ministral 3 (8B Instruct 2512) if…

  • you need open weights you can self-host or fine-tune

Choose Qwen3 Max if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

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

Arena Performance

Human preference votes

Model Size

Parameter count comparison

992.0B diff

Qwen3 Max has 992.0B more parameters than Ministral 3 (8B Instruct 2512), making it 12400.0% larger.

Mistral AI
Ministral 3 (8B Instruct 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1.0Tparameters
8.0B
Ministral 3 (8B Instruct 2512)
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Only Qwen3 Max specifies input context (256,000 tokens). Only Qwen3 Max specifies output context (131,072 tokens).

Mistral AI
Ministral 3 (8B Instruct 2512)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Ministral 3 (8B Instruct 2512)

Text
Images
Audio
Video

Qwen3 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (8B Instruct 2512) is licensed under Apache 2.0, while Qwen3 Max uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Ministral 3 (8B Instruct 2512)

Apache 2.0

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Ministral 3 (8B Instruct 2512) was released on 2025-12-04, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 0 month newer than Ministral 3 (8B Instruct 2512).

Ministral 3 (8B Instruct 2512)

Dec 4, 2025

6 months ago

Qwen3 Max

Dec 15, 2025

5 months ago

1w newer

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

Key Takeaways

Supports multimodal inputs
Has open weights
Alibaba Cloud / Qwen Team

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Detailed Comparison

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

FAQ

Common questions about Ministral 3 (8B Instruct 2512) vs Qwen3 Max.

Which is better, Ministral 3 (8B Instruct 2512) or Qwen3 Max?

Ministral 3 (8B Instruct 2512) (Mistral AI) and Qwen3 Max (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.

How does Ministral 3 (8B Instruct 2512) compare to Qwen3 Max in benchmarks?

Ministral 3 (8B Instruct 2512) scores MATH: 87.6%, Wild Bench: 66.8%, Arena Hard: 50.9%, MM-MT-Bench: 8.1%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

What are the context window sizes for Ministral 3 (8B Instruct 2512) and Qwen3 Max?

Ministral 3 (8B Instruct 2512) supports an unknown number of tokens and Qwen3 Max supports 256K 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 (8B Instruct 2512) and Qwen3 Max?

Key differences include multimodal support (yes vs no), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (8B Instruct 2512) and Qwen3 Max?

Ministral 3 (8B Instruct 2512) is developed by Mistral AI and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.