Model Comparison

DeepSeek-V3.2 (Non-thinking) vs Step3-VL-10B

Comparing DeepSeek-V3.2 (Non-thinking) and Step3-VL-10B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2 (Non-thinking) and Step3-VL-10B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

675.0B diff

DeepSeek-V3.2 (Non-thinking) has 675.0B more parameters than Step3-VL-10B, making it 6750.0% larger.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
685.0Bparameters
StepFun
Step3-VL-10B
10.0Bparameters
685.0B
DeepSeek-V3.2 (Non-thinking)
10.0B
Step3-VL-10B

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2 (Non-thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Non-thinking) specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input131,072 tokens
Output8,192 tokens
StepFun
Step3-VL-10B
Input- tokens
Output- tokens
Tue May 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Step3-VL-10B supports multimodal inputs, whereas DeepSeek-V3.2 (Non-thinking) does not.

Step3-VL-10B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2 (Non-thinking)

Text
Images
Audio
Video

Step3-VL-10B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2 (Non-thinking) is licensed under MIT, while Step3-VL-10B uses Apache 2.0.

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

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

Step3-VL-10B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while Step3-VL-10B was released on 2026-01-15.

Step3-VL-10B is 2 months newer than DeepSeek-V3.2 (Non-thinking).

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

5 months ago

Step3-VL-10B

Jan 15, 2026

4 months ago

1mo 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

DeepSeek
Larger context window (131,072 tokens)
StepFun
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Non-thinking)
StepFun
Step3-VL-10B

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking) vs Step3-VL-10B.

Which is better, DeepSeek-V3.2 (Non-thinking) or Step3-VL-10B?

DeepSeek-V3.2 (Non-thinking) (DeepSeek) and Step3-VL-10B (StepFun) 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-V3.2 (Non-thinking) compare to Step3-VL-10B in benchmarks?

Step3-VL-10B scores MMBench: 91.8%, AIME 2025: 87.7%, MathVista: 84.0%, MMMU: 78.1%, MathVision: 70.8%.

What are the context window sizes for DeepSeek-V3.2 (Non-thinking) and Step3-VL-10B?

DeepSeek-V3.2 (Non-thinking) supports 131K tokens and Step3-VL-10B 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-V3.2 (Non-thinking) and Step3-VL-10B?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2 (Non-thinking) and Step3-VL-10B?

DeepSeek-V3.2 (Non-thinking) is developed by DeepSeek and Step3-VL-10B is developed by StepFun.