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DeepSeek R1 Distill Qwen 32B vs DeepSeek VL2 Small

DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.1 to 1.2.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B leads the overall LLM Stats Score 13.1 to 1.2, ranking #247 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 32B

  • overall performance matters — it scores 13.1 and ranks #247 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

Choose DeepSeek VL2 Small

  • you are already invested in the DeepSeek ecosystem

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek VL2 Small
DeepSeek
Core performance indexes
LLM Stats Score
13.1
#247
1.2
#320
Reasoning
13.3
#236
-4.0
#338
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.12 / M
— / M
Output price
$0.18 / M
— / M
Context window
128,000
—

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 14 for DeepSeek VL2 Small

No common benchmarks found

DeepSeek R1 Distill Qwen 32B and DeepSeek VL2 Smalldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

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

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 R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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 R1 Distill Qwen 32B

Text
Images
Audio
Video

DeepSeek VL2 Small

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

DeepSeek VL2 Small

deepseek

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.6 years ago

1mo newer
DeepSeek VL2 Small

Dec 13, 2024

1.7 years ago

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→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and DeepSeek VL2 Small side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
DeepSeek VL2 Small
Open in Playground

FAQ

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

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

DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.1 to 1.2. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and DeepSeek VL2 Small is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%.

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

DeepSeek R1 Distill Qwen 32B supports 128K tokens and DeepSeek VL2 Small 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 R1 Distill Qwen 32B and DeepSeek VL2 Small?

Key differences include LLM Stats Score (13.1 vs 1.2), multimodal support (no vs yes), licensing (MIT vs deepseek). See the full comparison above for benchmark-by-benchmark results.

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