DeepSeek VL2 vs Qwen3.5-397B-A17B Comparison

Comparing DeepSeek VL2 and Qwen3.5-397B-A17B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Qwen3.5-397B-A17B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Mar 16 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
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Model Size

Parameter count comparison

370.0B diff

Qwen3.5-397B-A17B has 370.0B more parameters than DeepSeek VL2, making it 1370.4% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
27.0B
DeepSeek VL2
397.0B
Qwen3.5-397B-A17B

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Mon Mar 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Qwen3.5-397B-A17B support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Qwen3.5-397B-A17B uses Apache 2.0.

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

DeepSeek VL2

deepseek

Open weights

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Qwen3.5-397B-A17B was released on 2026-02-16.

Qwen3.5-397B-A17B is 14 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.3 years ago

Qwen3.5-397B-A17B

Feb 16, 2026

4 weeks ago

1.2yr 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. Qwen3.5-397B-A17B is available from Novita. The availability of providers can affect quality of the model and reliability.

DeepSeek VL2

replicate logo
Replicate

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B