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

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

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

Which is better?

Ministral 3 (8B Instruct 2512) and Qwen3.8 Max trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose Ministral 3 (8B Instruct 2512)

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3.8 Max

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Ministral 3 (8B Instruct 2512)
Mistral AI
Qwen3.8 Max
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
— / M
$1.65 / M
Output price
— / M
$4.95 / M
Context window
—
256,000
Released
Dec 2025
Aug 2026
License
Apache 2.0
Qwen3.8-Max License

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

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

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

2392.0B diff

Qwen3.8 Max has 2392.0B more parameters than Ministral 3 (8B Instruct 2512), making it 29900.0% larger.

Mistral AI
Ministral 3 (8B Instruct 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
8.0B
Ministral 3 (8B Instruct 2512)
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Only Qwen3.8 Max specifies input context (256,000 tokens). Only Qwen3.8 Max specifies output context (131,072 tokens).

Mistral AI
Ministral 3 (8B Instruct 2512)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input256,000 tokens
Output131,072 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Ministral 3 (8B Instruct 2512) and Qwen3.8 Max support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Ministral 3 (8B Instruct 2512)

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

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

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

Ministral 3 (8B Instruct 2512) was released on 2025-12-04, while Qwen3.8 Max was released on 2026-08-02.

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

Ministral 3 (8B Instruct 2512)

Dec 4, 2025

8 months ago

Qwen3.8 Max

Aug 2, 2026

3 weeks ago

8mo 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→

Judge for yourself.

Run your own prompts against Ministral 3 (8B Instruct 2512) and Qwen3.8 Max side-by-side, then vote on the output you prefer.

Ministral 3 (8B Instruct 2512)
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

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

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

Ministral 3 (8B Instruct 2512) (Mistral AI) and Qwen3.8 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 Qwen3.8 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%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

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

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

Key differences include licensing (Apache 2.0 vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

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

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

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