Model Comparison

DeepSeek VL2 vs Qwen3.8 MaxWhich is better in 2026?

Qwen3.8 Max significantly outperforms across most benchmarks.

Verdict: DeepSeek VL2 vs Qwen3.8 Max — which is better?

DeepSeek VL2 (by DeepSeek) and Qwen3.8 Max (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.

DeepSeek VL2 outperforms in 0 benchmarks, while Qwen3.8 Max is better at 1 benchmark (RealWorldQA). Qwen3.8 Max significantly outperforms across most benchmarks.

Choose DeepSeek VL2 if…

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

Choose Qwen3.8 Max if…

  • 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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek VL2 outperforms in 0 benchmarks, while Qwen3.8 Max is better at 1 benchmark (RealWorldQA).

Qwen3.8 Max significantly outperforms across most benchmarks.

Tue Aug 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2373.0B diff

Qwen3.8 Max has 2373.0B more parameters than DeepSeek VL2, making it 8788.9% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
27.0B
DeepSeek VL2
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input- tokens
Output- tokens
Tue Aug 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Qwen3.8 Max support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Qwen3.8 Max uses a proprietary license.

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

DeepSeek VL2

deepseek

Open weights

Qwen3.8 Max

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 20 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.6 years ago

Qwen3.8 Max

Aug 2, 2026

2 days ago

1.6yr 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

Larger context window (129,280 tokens)
Has open weights
Alibaba Cloud / Qwen Team

Qwen3.8 Max

View details

Alibaba Cloud / Qwen Team

Higher RealWorldQA score (88.0% vs 68.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Qwen3.8 Max side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Qwen3.8 Max
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Alibaba Cloud / Qwen Team
Qwen3.8 Max

FAQ

Common questions about DeepSeek VL2 vs Qwen3.8 Max.

Which is better, DeepSeek VL2 or Qwen3.8 Max?

Qwen3.8 Max significantly outperforms across most benchmarks. DeepSeek VL2 is made by DeepSeek and Qwen3.8 Max 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 DeepSeek VL2 compare to Qwen3.8 Max in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Qwen3.8 Max scores PaperBench: 93.0%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%, Terminal-Bench 2.1: 86.6%.

What are the context window sizes for DeepSeek VL2 and Qwen3.8 Max?

DeepSeek VL2 supports 129K tokens and Qwen3.8 Max 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 DeepSeek VL2 and Qwen3.8 Max?

Key differences include licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Qwen3.8 Max?

DeepSeek VL2 is developed by DeepSeek and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.