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DeepSeek VL2 vs Qwen3 Max

Comparing DeepSeek VL2 and Qwen3 Max across benchmarks, pricing, and capabilities.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek VL2 and Qwen3 Max trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Qwen3 Max also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek VL2

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

Choose Qwen3 Max

  • you process long inputs — it offers a 256,000 token context window
  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$0.50 / M
Output price
— / M
$5.00 / M
Context window
129,280
256,000
Released
Dec 2024
Dec 2025
License
deepseek
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Qwen3 Maxdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

973.0B diff

Qwen3 Max has 973.0B more parameters than DeepSeek VL2, making it 3603.7% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1.0Tparameters
27.0B
DeepSeek VL2
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Qwen3 Max accepts 256,000 input tokens compared to DeepSeek VL2's 129,280 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while DeepSeek VL2 is limited to 129,280 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Qwen3 Max does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

Qwen3 Max

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Qwen3 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 Max

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 12 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.7 years ago

Qwen3 Max

Dec 15, 2025

8 months ago

1.0yr 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

Provider Availability

DeepSeek VL2 is available from Replicate. Qwen3 Max is available from Novita.

DeepSeek VL2

replicate logo
Replicate

Qwen3 Max

novita logo
Novita
Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

DeepSeek VL2
✓ Preferred
Qwen3 Max
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs Qwen3 Max.

Which is better, DeepSeek VL2 or Qwen3 Max?

DeepSeek VL2 (DeepSeek) and Qwen3 Max (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek VL2 compare to Qwen3 Max in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

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

DeepSeek VL2 supports 129K tokens and Qwen3 Max supports 256K 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 Max?

Key differences include context window (129K vs 256K), multimodal support (yes vs no), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Qwen3 Max?

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