Model Comparison

DeepSeek VL2 Tiny vs DeepSeek R1 Distill Qwen 32BWhich is better in 2026?

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

Verdict: DeepSeek VL2 Tiny vs DeepSeek R1 Distill Qwen 32B — which is better?

DeepSeek VL2 Tiny (by DeepSeek) and DeepSeek R1 Distill Qwen 32B (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek VL2 Tiny if…

  • you are already invested in the DeepSeek ecosystem

Choose DeepSeek R1 Distill Qwen 32B if…

  • you want the most recent training data — it shipped Jan 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and DeepSeek R1 Distill Qwen 32Bdon'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

29.8B diff

DeepSeek R1 Distill Qwen 32B has 29.8B more parameters than DeepSeek VL2 Tiny, making it 993.3% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
3.0B
DeepSeek VL2 Tiny
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 Tiny
Input- tokens
Output- tokens
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Thu Jun 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

DeepSeek R1 Distill Qwen 32B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny 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 Tiny

deepseek

Open weights

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny 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 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.5 years ago

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.4 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 Tiny
DeepSeek
DeepSeek R1 Distill Qwen 32B

FAQ

Common questions about DeepSeek VL2 Tiny vs DeepSeek R1 Distill Qwen 32B.

Which is better, DeepSeek VL2 Tiny or DeepSeek R1 Distill Qwen 32B?

DeepSeek VL2 Tiny (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.

How does DeepSeek VL2 Tiny compare to DeepSeek R1 Distill Qwen 32B in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%.

What are the context window sizes for DeepSeek VL2 Tiny and DeepSeek R1 Distill Qwen 32B?

DeepSeek VL2 Tiny 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.

What are the main differences between DeepSeek VL2 Tiny and DeepSeek R1 Distill Qwen 32B?

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

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