Model Comparison

DeepSeek R1 Distill Llama 70B vs Qwen3 VL 32B Thinking

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 1 benchmark (GPQA).

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

37.6B diff

DeepSeek R1 Distill Llama 70B has 37.6B more parameters than Qwen3 VL 32B Thinking, making it 113.9% larger.

DeepSeek R1 Distill Llama 70B

70.6Bparameters

Qwen3 VL 32B Thinking

33.0Bparameters

70.6B

DeepSeek R1 Distill Llama 70B

33.0B

Qwen3 VL 32B Thinking

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).

DeepSeek R1 Distill Llama 70B

Input128,000 tokens

Output128,000 tokens

Qwen3 VL 32B Thinking

Input- tokens

Output- tokens

Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Thinking supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 70B

Text

Images

Audio

Video

Qwen3 VL 32B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while Qwen3 VL 32B Thinking uses Apache 2.0.

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

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 8 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.3 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

8 months ago

8mo 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

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Key Takeaways

DeepSeek R1 Distill Llama 70B

View details

DeepSeek

Larger context window (128,000 tokens)

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Higher GPQA score (73.1% vs 65.2%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek R1 Distill Llama 70B	Qwen3 VL 32B Thinking

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Qwen3 VL 32B Thinking.

Which is better, DeepSeek R1 Distill Llama 70B or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Llama 70B compare to Qwen3 VL 32B Thinking in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Qwen3 VL 32B Thinking?

DeepSeek R1 Distill Llama 70B supports 128K tokens and Qwen3 VL 32B Thinking 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 Llama 70B and Qwen3 VL 32B Thinking?

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 R1 Distill Llama 70B and Qwen3 VL 32B Thinking?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.