Model Comparison

DeepSeek VL2 Small vs DeepSeek R1 Distill Qwen 32B

Comparing DeepSeek VL2 Small and DeepSeek R1 Distill Qwen 32B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Small and DeepSeek R1 Distill Qwen 32B 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
Fri May 01 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Small
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

16.8B diff

DeepSeek R1 Distill Qwen 32B has 16.8B more parameters than DeepSeek VL2 Small, making it 105.0% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
16.0B
DeepSeek VL2 Small
32.8B
DeepSeek R1 Distill Qwen 32B

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Small supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.

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

DeepSeek VL2 Small

Text
Images
Audio
Video

DeepSeek R1 Distill Qwen 32B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while DeepSeek R1 Distill Qwen 32B uses MIT.

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

DeepSeek VL2 Small

deepseek

Open weights

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while DeepSeek R1 Distill Qwen 32B was released on 2025-01-20.

DeepSeek R1 Distill Qwen 32B is 1 month newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.4 years ago

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.3 years 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
Supports multimodal inputs
DeepSeek
Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Small
DeepSeek
DeepSeek R1 Distill Qwen 32B

FAQ

Common questions about DeepSeek VL2 Small vs DeepSeek R1 Distill Qwen 32B

DeepSeek VL2 Small (DeepSeek) and DeepSeek R1 Distill Qwen 32B (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%.
DeepSeek VL2 Small supports an unknown number of tokens and DeepSeek R1 Distill Qwen 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.