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

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 2.7.

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

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 50.5 to 2.7, ranking #14 overall.

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

Choose Ministral 3 (3B Instruct 2512)

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3.8-Flash-Next

  • overall performance matters — it scores 50.5 and ranks #14 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Ministral 3 (3B Instruct 2512)
Mistral AI
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
2.7
#294
50.5
#14
Reasoning
3.2
#284
50.6
#12
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

4 reported for Ministral 3 (3B Instruct 2512) · 22 for Qwen3.8-Flash-Next

No common benchmarks found

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

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

122.0B diff

Qwen3.8-Flash-Next has 122.0B more parameters than Ministral 3 (3B Instruct 2512), making it 4066.7% larger.

Mistral AI
Ministral 3 (3B Instruct 2512)
3.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
3.0B
Ministral 3 (3B Instruct 2512)
125.0B
Qwen3.8-Flash-Next

Input capabilities

Documented input modalities across available providers

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

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

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

Ministral 3 (3B Instruct 2512)

Dec 4, 2025

8 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

2 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 (3B Instruct 2512) and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 2.7. Ministral 3 (3B Instruct 2512) is made by Mistral AI and Qwen3.8-Flash-Next 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 Qwen3.8-Flash-Next in benchmarks?

Ministral 3 (3B Instruct 2512) scores MATH: 83.0%, Wild Bench: 56.8%, Arena Hard: 30.5%, MM-MT-Bench: 7.8%. Qwen3.8-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 (3B Instruct 2512) and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (2.7 vs 50.5), licensing (Apache 2.0 vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

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

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

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