Model Comparison

Qwen3.6-35B-A3B vs DeepSeek-V4-Flash-MaxWhich is better in 2026?

DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks.

Verdict: Qwen3.6-35B-A3B vs DeepSeek-V4-Flash-Max — which is better?

Qwen3.6-35B-A3B (by Alibaba Cloud / Qwen Team) and DeepSeek-V4-Flash-Max (by DeepSeek) 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 DeepSeek-V4-Flash-Max is better at 12 benchmarks (GDPval-AA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, MCP Atlas, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0, Toolathlon). DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks.

Choose Qwen3.6-35B-A3B if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose DeepSeek-V4-Flash-Max if…

  • you want the strongest raw capability — it leads on 12 of 12 shared benchmarks
  • you want the most recent training data — it shipped Apr 2026

Performance Benchmarks

Comparative analysis across standard metrics

12 benchmarks

Qwen3.6-35B-A3B outperforms in 0 benchmarks, while DeepSeek-V4-Flash-Max is better at 12 benchmarks (GDPval-AA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, MCP Atlas, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0, Toolathlon).

DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

249.0B diff

DeepSeek-V4-Flash-Max has 249.0B more parameters than Qwen3.6-35B-A3B, making it 711.4% larger.

Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
35.0Bparameters
DeepSeek
DeepSeek-V4-Flash-Max
284.0Bparameters
35.0B
Qwen3.6-35B-A3B
284.0B
DeepSeek-V4-Flash-Max

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-Max specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-Max specifies output context (65,536 tokens).

Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V4-Flash-Max
Input1,048,576 tokens
Output65,536 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.6-35B-A3B supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.

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

Qwen3.6-35B-A3B

Text
Images
Audio
Video

DeepSeek-V4-Flash-Max

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.6-35B-A3B is licensed under Apache 2.0, while DeepSeek-V4-Flash-Max 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

DeepSeek-V4-Flash-Max

MIT

Open weights

Release Timeline

When each model was launched

Qwen3.6-35B-A3B was released on 2026-04-16, while DeepSeek-V4-Flash-Max was released on 2026-04-23.

DeepSeek-V4-Flash-Max is 0 month newer than Qwen3.6-35B-A3B.

Qwen3.6-35B-A3B

Apr 16, 2026

3 months ago

DeepSeek-V4-Flash-Max

Apr 23, 2026

2 months ago

1w 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→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.6-35B-A3B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
DeepSeek
Larger context window (1,048,576 tokens)
Higher GDPval-AA score (40.1% vs 35.2%)
Higher GPQA score (88.1% vs 86.0%)
Higher HMMT Feb 26 score (94.8% vs 83.6%)
Higher Humanity's Last Exam score (45.1% vs 21.4%)
Higher IMO-AnswerBench score (88.4% vs 78.9%)
Higher MCP Atlas score (69.0% vs 62.8%)
Higher MMLU-Pro score (86.2% vs 85.2%)
Higher SWE-bench Multilingual score (73.3% vs 67.2%)
Higher SWE-Bench Pro score (52.6% vs 49.5%)
Higher SWE-Bench Verified score (79.0% vs 73.4%)
Higher Terminal-Bench 2.0 score (56.9% vs 51.5%)
Higher Toolathlon score (47.8% vs 26.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.6-35B-A3B and DeepSeek-V4-Flash-Max side-by-side, then vote on the output you prefer.

Qwen3.6-35B-A3B
✓ Preferred
DeepSeek-V4-Flash-Max
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
DeepSeek
DeepSeek-V4-Flash-Max

FAQ

Common questions about Qwen3.6-35B-A3B vs DeepSeek-V4-Flash-Max.

Which is better, Qwen3.6-35B-A3B or DeepSeek-V4-Flash-Max?

DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks. Qwen3.6-35B-A3B is made by Alibaba Cloud / Qwen Team and DeepSeek-V4-Flash-Max is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.6-35B-A3B compare to DeepSeek-V4-Flash-Max 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%. DeepSeek-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%.

What are the context window sizes for Qwen3.6-35B-A3B and DeepSeek-V4-Flash-Max?

Qwen3.6-35B-A3B supports an unknown number of tokens and DeepSeek-V4-Flash-Max supports 1.0M 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 DeepSeek-V4-Flash-Max?

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 DeepSeek-V4-Flash-Max?

Qwen3.6-35B-A3B is developed by Alibaba Cloud / Qwen Team and DeepSeek-V4-Flash-Max is developed by DeepSeek.

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