Model Comparison

DeepSeek R1 Distill Llama 8B vs Qwen3 VL 8B Thinking

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 1 benchmark (GPQA).

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Fri May 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

970.0M diff

Qwen3 VL 8B Thinking has 1.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 12.1% larger.

DeepSeek R1 Distill Llama 8B

8.0Bparameters

Qwen3 VL 8B Thinking

9.0Bparameters

8.0B

DeepSeek R1 Distill Llama 8B

9.0B

Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

DeepSeek R1 Distill Llama 8B

Input- tokens

Output- tokens

Qwen3 VL 8B Thinking

Input262,144 tokens

Output262,144 tokens

Fri May 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 8B Thinking supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Qwen3 VL 8B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 8B

Text

Images

Audio

Video

Qwen3 VL 8B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Qwen3 VL 8B 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 8B

MIT

Open weights

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Qwen3 VL 8B Thinking was released on 2025-09-22.

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

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.3 years ago

Qwen3 VL 8B 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek R1 Distill Llama 8B

View details

DeepSeek

No standout differentiators in the data we have for this pair.

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Higher GPQA score (69.9% vs 49.0%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek R1 Distill Llama 8B	Qwen3 VL 8B Thinking

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Qwen3 VL 8B Thinking.

Which is better, DeepSeek R1 Distill Llama 8B or Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Qwen3 VL 8B 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 8B compare to Qwen3 VL 8B Thinking in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Qwen3 VL 8B Thinking?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Qwen3 VL 8B Thinking supports 262K 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 8B and Qwen3 VL 8B 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 8B and Qwen3 VL 8B Thinking?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.