Model Comparison

DeepSeek VL2 Small vs Qwen3-Next-80B-A3B-Thinking

Comparing DeepSeek VL2 Small and Qwen3-Next-80B-A3B-Thinking across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Small and Qwen3-Next-80B-A3B-Thinking don'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

64.0B diff

Qwen3-Next-80B-A3B-Thinking has 64.0B more parameters than DeepSeek VL2 Small, making it 400.0% larger.

DeepSeek VL2 Small

16.0Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

16.0B

DeepSeek VL2 Small

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

DeepSeek VL2 Small

Input- tokens

Output- tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Small supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

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

DeepSeek VL2 Small

Text

Images

Audio

Video

Qwen3-Next-80B-A3B-Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Qwen3-Next-80B-A3B-Thinking uses Apache 2.0.

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

DeepSeek VL2 Small

deepseek

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 9 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.4 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 months ago

9mo 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 VL2 Small

View details

DeepSeek

Supports multimodal inputs

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (65,536 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek VL2 Small	Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about DeepSeek VL2 Small vs Qwen3-Next-80B-A3B-Thinking.

Which is better, DeepSeek VL2 Small or Qwen3-Next-80B-A3B-Thinking?

DeepSeek VL2 Small (DeepSeek) and Qwen3-Next-80B-A3B-Thinking (Alibaba Cloud / Qwen Team) 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 Small compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for DeepSeek VL2 Small and Qwen3-Next-80B-A3B-Thinking?

DeepSeek VL2 Small supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K 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 Small and Qwen3-Next-80B-A3B-Thinking?

Key differences include multimodal support (yes vs no), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Qwen3-Next-80B-A3B-Thinking?

DeepSeek VL2 Small is developed by DeepSeek and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.