DeepSeek VL2 vs Step-3.5-Flash Comparison

Comparing DeepSeek VL2 and Step-3.5-Flash across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Step-3.5-Flash 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
Sat Mar 14 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
StepFun
Step-3.5-Flash
Input tokens$0.10
Output tokens$0.40
Best providerStepFun
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

169.0B diff

Step-3.5-Flash has 169.0B more parameters than DeepSeek VL2, making it 625.9% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
StepFun
Step-3.5-Flash
196.0Bparameters
27.0B
DeepSeek VL2
196.0B
Step-3.5-Flash

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Step-3.5-Flash's 65,536 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Step-3.5-Flash is limited to 8,192 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
StepFun
Step-3.5-Flash
Input65,536 tokens
Output8,192 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Step-3.5-Flash 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

Step-3.5-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Step-3.5-Flash 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

Step-3.5-Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Step-3.5-Flash was released on 2026-02-02.

Step-3.5-Flash is 14 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.2 years ago

Step-3.5-Flash

Feb 2, 2026

1 months ago

1.1yr 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. Step-3.5-Flash is available from StepFun. The availability of providers can affect quality of the model and reliability.

DeepSeek VL2

replicate logo
Replicate

Step-3.5-Flash

stepfun logo
StepFun
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (129,280 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
StepFun
Step-3.5-Flash