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MiniMax M1 40K vs Qwen3.8-27B

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

MiniMax · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiniMax M1 40K outperforms in 0 benchmarks, while Qwen3.8-27B is better at 2 benchmarks (GPQA, Humanity's Last Exam). Qwen3.8-27B significantly outperforms across most benchmarks.

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

Choose MiniMax M1 40K

  • you are already invested in the MiniMax ecosystem

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 2 of 2 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 2
2 of 2
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Jun 2025
Aug 2026
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

MiniMax M1 40K outperforms in 0 benchmarks, while Qwen3.8-27B is better at 2 benchmarks (GPQA, Humanity's Last Exam).

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

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

428.2B diff

MiniMax M1 40K has 428.2B more parameters than Qwen3.8-27B, making it 1541.4% larger.

MiniMax
MiniMax M1 40K
456.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
456.0B
MiniMax M1 40K
27.8B
Qwen3.8-27B

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas MiniMax M1 40K does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M1 40K

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M1 40K is licensed under MIT, while Qwen3.8-27B uses Apache 2.0.

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

MiniMax M1 40K

MIT

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M1 40K was released on 2025-06-16, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 14 months newer than MiniMax M1 40K.

MiniMax M1 40K

Jun 16, 2025

1.2 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.2yr 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 MiniMax M1 40K and Qwen3.8-27B side-by-side, then vote on the output you prefer.

MiniMax M1 40K
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about MiniMax M1 40K vs Qwen3.8-27B.

Which is better, MiniMax M1 40K or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. MiniMax M1 40K is made by MiniMax 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 MiniMax M1 40K compare to Qwen3.8-27B in benchmarks?

MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%. 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 main differences between MiniMax M1 40K and Qwen3.8-27B?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 40K and Qwen3.8-27B?

MiniMax M1 40K is developed by MiniMax and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.