Model Comparison

Qwen3.6-35B-A3B vs MiniMax M2.7Which is better in 2026?

MiniMax M2.7 significantly outperforms across most benchmarks.

Verdict: Qwen3.6-35B-A3B vs MiniMax M2.7 — which is better?

Qwen3.6-35B-A3B (by Alibaba Cloud / Qwen Team) and MiniMax M2.7 (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Qwen3.6-35B-A3B outperforms in 0 benchmarks, while MiniMax M2.7 is better at 6 benchmarks (GDPval-AA, NL2Repo, SWE-bench Multilingual, SWE-Bench Pro, Terminal-Bench 2.0, Toolathlon). MiniMax M2.7 significantly outperforms across most benchmarks.

Choose Qwen3.6-35B-A3B if…

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

Choose MiniMax M2.7 if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Qwen3.6-35B-A3B outperforms in 0 benchmarks, while MiniMax M2.7 is better at 6 benchmarks (GDPval-AA, NL2Repo, SWE-bench Multilingual, SWE-Bench Pro, Terminal-Bench 2.0, Toolathlon).

MiniMax M2.7 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only MiniMax M2.7 specifies input context (196,608 tokens). Only MiniMax M2.7 specifies output context (196,608 tokens).

Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
Input- tokens
Output- tokens
MiniMax
MiniMax M2.7
Input196,608 tokens
Output196,608 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.6-35B-A3B supports multimodal inputs, whereas MiniMax M2.7 does not.

Qwen3.6-35B-A3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.6-35B-A3B

Text
Images
Audio
Video

MiniMax M2.7

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.6-35B-A3B is licensed under Apache 2.0, while MiniMax M2.7 uses MIT.

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

Qwen3.6-35B-A3B

Apache 2.0

Open weights

MiniMax M2.7

MIT

Open weights

Release Timeline

When each model was launched

Qwen3.6-35B-A3B was released on 2026-04-16, while MiniMax M2.7 was released on 2026-03-18.

Qwen3.6-35B-A3B is 1 month newer than MiniMax M2.7.

Qwen3.6-35B-A3B

Apr 16, 2026

3 months ago

4w newer
MiniMax M2.7

Mar 18, 2026

4 months ago

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→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.6-35B-A3B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
MiniMax
Larger context window (196,608 tokens)
Higher GDPval-AA score (39.3% vs 35.2%)
Higher NL2Repo score (39.8% vs 29.4%)
Higher SWE-bench Multilingual score (76.5% vs 67.2%)
Higher SWE-Bench Pro score (56.2% vs 49.5%)
Higher Terminal-Bench 2.0 score (57.0% vs 51.5%)
Higher Toolathlon score (46.3% vs 26.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.6-35B-A3B and MiniMax M2.7 side-by-side, then vote on the output you prefer.

Qwen3.6-35B-A3B
✓ Preferred
MiniMax M2.7
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
MiniMax
MiniMax M2.7

FAQ

Common questions about Qwen3.6-35B-A3B vs MiniMax M2.7.

Which is better, Qwen3.6-35B-A3B or MiniMax M2.7?

MiniMax M2.7 significantly outperforms across most benchmarks. Qwen3.6-35B-A3B is made by Alibaba Cloud / Qwen Team and MiniMax M2.7 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.6-35B-A3B compare to MiniMax M2.7 in benchmarks?

Qwen3.6-35B-A3B scores MMLU-Redux: 93.3%, MMBench-V1.1: 92.8%, AI2D: 92.7%, AIME 2026: 92.7%, RefCOCO-avg: 92.0%. MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%.

What are the context window sizes for Qwen3.6-35B-A3B and MiniMax M2.7?

Qwen3.6-35B-A3B supports an unknown number of tokens and MiniMax M2.7 supports 197K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3.6-35B-A3B and MiniMax M2.7?

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

Who makes Qwen3.6-35B-A3B and MiniMax M2.7?

Qwen3.6-35B-A3B is developed by Alibaba Cloud / Qwen Team and MiniMax M2.7 is developed by MiniMax.

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