Model Comparison

Qwen3.7 Max vs Qwen3.6-35B-A3BWhich is better in 2026?

Qwen3.7 Max significantly outperforms across most benchmarks.

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

Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and Qwen3.6-35B-A3B (by Alibaba Cloud / Qwen Team) 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.

Qwen3.7 Max outperforms in 20 benchmarks (Claw-Eval, GDPval-AA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, LiveCodeBench v6, MCP Atlas, MCP-Mark, MMLU-Pro, MMLU-Redux, NL2Repo, SkillsBench, SuperGPQA, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0, VITA-Bench, ZClawBench), while Qwen3.6-35B-A3B is better at 0 benchmarks. Qwen3.7 Max significantly outperforms across most benchmarks.

Choose Qwen3.7 Max if…

  • you want the strongest raw capability — it leads on 20 of 20 shared benchmarks
  • you want the most recent training data — it shipped May 2026

Choose Qwen3.6-35B-A3B if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

20 benchmarks

Qwen3.7 Max outperforms in 20 benchmarks (Claw-Eval, GDPval-AA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, LiveCodeBench v6, MCP Atlas, MCP-Mark, MMLU-Pro, MMLU-Redux, NL2Repo, SkillsBench, SuperGPQA, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0, VITA-Bench, ZClawBench), while Qwen3.6-35B-A3B is better at 0 benchmarks.

Qwen3.7 Max 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 Qwen3.7 Max specifies input context (1,000,000 tokens). Only Qwen3.7 Max specifies output context (65,536 tokens).

Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Qwen3.7 Max

Text
Images
Audio
Video

Qwen3.6-35B-A3B

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.7 Max is licensed under a proprietary license, while Qwen3.6-35B-A3B uses Apache 2.0.

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

Qwen3.7 Max

Proprietary

Closed source

Qwen3.6-35B-A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.7 Max was released on 2026-05-19, while Qwen3.6-35B-A3B was released on 2026-04-16.

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

Qwen3.7 Max

May 19, 2026

1 months ago

1mo newer
Qwen3.6-35B-A3B

Apr 16, 2026

3 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

Qwen3.7 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (1,000,000 tokens)
Higher Claw-Eval score (65.2% vs 50.0%)
Higher GDPval-AA score (43.6% vs 35.2%)
Higher GPQA score (92.4% vs 86.0%)
Higher HMMT Feb 26 score (97.1% vs 83.6%)
Higher Humanity's Last Exam score (41.4% vs 21.4%)
Higher IMO-AnswerBench score (90.0% vs 78.9%)
Higher LiveCodeBench v6 score (91.6% vs 80.4%)
Higher MCP Atlas score (76.4% vs 62.8%)
Higher MCP-Mark score (60.8% vs 37.0%)
Higher MMLU-Pro score (89.6% vs 85.2%)
Higher MMLU-Redux score (95.0% vs 93.3%)
Higher NL2Repo score (47.2% vs 29.4%)
Higher SkillsBench score (59.2% vs 28.7%)
Higher SuperGPQA score (73.6% vs 64.7%)
Higher SWE-bench Multilingual score (78.3% vs 67.2%)
Higher SWE-Bench Pro score (60.6% vs 49.5%)
Higher SWE-Bench Verified score (80.4% vs 73.4%)
Higher Terminal-Bench 2.0 score (69.7% vs 51.5%)
Higher VITA-Bench score (47.9% vs 35.6%)
Higher ZClawBench score (64.3% vs 52.6%)
Alibaba Cloud / Qwen Team

Qwen3.6-35B-A3B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

Qwen3.7 Max significantly outperforms across most benchmarks. Qwen3.7 Max is made by Alibaba Cloud / Qwen Team and Qwen3.6-35B-A3B 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 Qwen3.7 Max compare to Qwen3.6-35B-A3B in benchmarks?

Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%. 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%.

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

Qwen3.7 Max supports 1.0M tokens and Qwen3.6-35B-A3B 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 Qwen3.7 Max and Qwen3.6-35B-A3B?

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

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