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DeepSeek R1 Distill Qwen 1.5B vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.6 to -2.7.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.6 to -2.7, ranking #219 overall.

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

Choose DeepSeek R1 Distill Qwen 1.5B

  • you want the most recent training data — it shipped Jan 2025

Choose Qwen2-VL-72B-Instruct

  • overall performance matters — it scores 14.6 and ranks #219 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

Core performance indexes
-2.7
#325
14.6
#219
-2.4
#315
11.9
#235
Cost, coverage & limits
Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 1.5B · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

DeepSeek R1 Distill Qwen 1.5B and Qwen2-VL-72B-Instructdon'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

71.6B diff

Qwen2-VL-72B-Instruct has 71.6B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 4023.6% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
73.4B
Qwen2-VL-72B-Instruct

Input capabilities

Documented input modalities across available providers

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

DeepSeek R1 Distill Qwen 1.5B is 5 months newer than Qwen2-VL-72B-Instruct.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.6 years ago

4mo newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while DeepSeek R1 Distill Qwen 1.5B's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 1.5B and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 1.5B
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Qwen2-VL-72B-Instruct.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Qwen2-VL-72B-Instruct?

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.6 to -2.7. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Qwen2-VL-72B-Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 1.5B compare to Qwen2-VL-72B-Instruct in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the main differences between DeepSeek R1 Distill Qwen 1.5B and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (-2.7 vs 14.6), multimodal support (no vs yes), licensing (MIT vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 1.5B and Qwen2-VL-72B-Instruct?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.