Model Comparison

DeepSeek VL2 Tiny vs Qwen3-Next-80B-A3B-ThinkingWhich is better in 2026?

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

Verdict: DeepSeek VL2 Tiny vs Qwen3-Next-80B-A3B-Thinking — which is better?

DeepSeek VL2 Tiny (by DeepSeek) and Qwen3-Next-80B-A3B-Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek VL2 Tiny if…

  • you are already invested in the DeepSeek ecosystem

Choose Qwen3-Next-80B-A3B-Thinking if…

  • you want the most recent training data — it shipped Sep 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and Qwen3-Next-80B-A3B-Thinkingdon'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

77.0B diff

Qwen3-Next-80B-A3B-Thinking has 77.0B more parameters than DeepSeek VL2 Tiny, making it 2566.7% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
3.0B
DeepSeek VL2 Tiny
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
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny 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 Tiny

deepseek

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny 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 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.5 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

9 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
Supports multimodal inputs
Alibaba Cloud / Qwen Team
Larger context window (65,536 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking

FAQ

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

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

DeepSeek VL2 Tiny (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 Tiny compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. 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 Tiny and Qwen3-Next-80B-A3B-Thinking?

DeepSeek VL2 Tiny 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 Tiny 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 Tiny and Qwen3-Next-80B-A3B-Thinking?

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

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