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Ministral 3 (14B Base 2512) vs Qwen3.8-Flash-Next

Comparing Ministral 3 (14B Base 2512) and Qwen3.8-Flash-Next across benchmarks, pricing, and capabilities.

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

Which is better?

Ministral 3 (14B Base 2512) and Qwen3.8-Flash-Next 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 (14B Base 2512)

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3.8-Flash-Next

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

At a glance

The differences that matter most.

Ministral 3 (14B Base 2512)
Mistral AI
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—
Released
Dec 2025
Aug 2026
License
Apache 2.0
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Ministral 3 (14B Base 2512) and Qwen3.8-Flash-Nextdon'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

111.0B diff

Qwen3.8-Flash-Next has 111.0B more parameters than Ministral 3 (14B Base 2512), making it 792.9% larger.

Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
14.0B
Ministral 3 (14B Base 2512)
125.0B
Qwen3.8-Flash-Next

Input Capabilities

Supported data types and modalities

Both Ministral 3 (14B Base 2512) and Qwen3.8-Flash-Next support multimodal inputs.

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

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Base 2512) is licensed under Apache 2.0, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Base 2512) was released on 2025-12-04, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 9 months newer than Ministral 3 (14B Base 2512).

Ministral 3 (14B Base 2512)

Dec 4, 2025

8 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days 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 (14B Base 2512) and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Ministral 3 (14B Base 2512)
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Ministral 3 (14B Base 2512) vs Qwen3.8-Flash-Next.

Which is better, Ministral 3 (14B Base 2512) or Qwen3.8-Flash-Next?

Ministral 3 (14B Base 2512) (Mistral AI) and Qwen3.8-Flash-Next (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 (14B Base 2512) compare to Qwen3.8-Flash-Next in benchmarks?

Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the main differences between Ministral 3 (14B Base 2512) and Qwen3.8-Flash-Next?

Key differences include licensing (Apache 2.0 vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (14B Base 2512) and Qwen3.8-Flash-Next?

Ministral 3 (14B Base 2512) is developed by Mistral AI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

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