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

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 16.8.

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 16.8, ranking #14 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Ministral 3 (8B Reasoning 2512)

  • you want predictable pricing at $0.15/M input and $0.15/M output

Choose Qwen3.8-Flash-Next

  • overall performance matters — it scores 50.5 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Core performance indexes
16.8
#201
50.5
#14
16.8
#194
50.6
#12
9.0
#162
38.4
#19
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.15 / M
— / M
Output price
$0.15 / M
— / M
Context window
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ministral 3 (8B Reasoning 2512)
Qwen3.8-Flash-Next
17.4#185
33.3#50
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

1 shared

Ministral 3 (8B Reasoning 2512) outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (GPQA).

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

117.0B diff

Qwen3.8-Flash-Next has 117.0B more parameters than Ministral 3 (8B Reasoning 2512), making it 1462.5% larger.

Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
8.0B
Ministral 3 (8B Reasoning 2512)
125.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only Ministral 3 (8B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).

Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (8B Reasoning 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 (8B Reasoning 2512)

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (8B Reasoning 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 (8B Reasoning 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 (8B Reasoning 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 (8B Reasoning 2512).

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

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

FAQ

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

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

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 16.8. Ministral 3 (8B Reasoning 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 (8B Reasoning 2512) compare to Qwen3.8-Flash-Next in benchmarks?

Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%. 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 context window sizes for Ministral 3 (8B Reasoning 2512) and Qwen3.8-Flash-Next?

Ministral 3 (8B Reasoning 2512) supports 262K tokens and Qwen3.8-Flash-Next supports an unknown number of 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 Reasoning 2512) and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (16.8 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 (8B Reasoning 2512) and Qwen3.8-Flash-Next?

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