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Ministral 3 (8B Reasoning 2512) vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

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

Which is better?

Ministral 3 (8B Reasoning 2512) outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA). Qwen3.8-27B significantly outperforms across most benchmarks.

Based on current benchmark, 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 Qwen3.8-27B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
$0.15 / M
— / M
Output price
$0.15 / M
— / M
Context window
262,100
Released
Dec 2025
Aug 2026
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Ministral 3 (8B Reasoning 2512) outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA).

Qwen3.8-27B significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

19.8B diff

Qwen3.8-27B has 19.8B more parameters than Ministral 3 (8B Reasoning 2512), making it 247.3% larger.

Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
8.0B
Ministral 3 (8B Reasoning 2512)
27.8B
Qwen3.8-27B

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
Qwen3.8-27B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Ministral 3 (8B Reasoning 2512) and Qwen3.8-27B 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

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (8B Reasoning 2512) was released on 2025-12-04, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 8 months newer than Ministral 3 (8B Reasoning 2512).

Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

8 months ago

Qwen3.8-27B

Aug 14, 2026

1 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 Reasoning 2512) and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Ministral 3 (8B Reasoning 2512)
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Ministral 3 (8B Reasoning 2512) vs Qwen3.8-27B.

Which is better, Ministral 3 (8B Reasoning 2512) or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. Ministral 3 (8B Reasoning 2512) is made by Mistral AI and Qwen3.8-27B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Ministral 3 (8B Reasoning 2512) compare to Qwen3.8-27B in benchmarks?

Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Ministral 3 (8B Reasoning 2512) and Qwen3.8-27B?

Ministral 3 (8B Reasoning 2512) supports 262K tokens and Qwen3.8-27B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Ministral 3 (8B Reasoning 2512) and Qwen3.8-27B?

Ministral 3 (8B Reasoning 2512) is developed by Mistral AI and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.