Model Comparison

DeepSeek VL2 Tiny vs Qwen3 235B A22BWhich is better in 2026?

Comparing DeepSeek VL2 Tiny and Qwen3 235B A22B across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 Tiny vs Qwen3 235B A22B — which is better?

DeepSeek VL2 Tiny (by DeepSeek) and Qwen3 235B A22B (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 235B A22B if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and Qwen3 235B A22Bdon'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

232.0B diff

Qwen3 235B A22B has 232.0B more parameters than DeepSeek VL2 Tiny, making it 7733.3% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
3.0B
DeepSeek VL2 Tiny
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas Qwen3 235B A22B 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 235B A22B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Qwen3 235B A22B 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 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 5 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.5 years ago

Qwen3 235B A22B

Apr 29, 2025

1.2 years ago

4mo 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

Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 Tiny and Qwen3 235B A22B side-by-side, then vote on the output you prefer.

DeepSeek VL2 Tiny
✓ Preferred
Qwen3 235B A22B
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Alibaba Cloud / Qwen Team
Qwen3 235B A22B

FAQ

Common questions about DeepSeek VL2 Tiny vs Qwen3 235B A22B.

Which is better, DeepSeek VL2 Tiny or Qwen3 235B A22B?

DeepSeek VL2 Tiny (DeepSeek) and Qwen3 235B A22B (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 235B A22B in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

What are the context window sizes for DeepSeek VL2 Tiny and Qwen3 235B A22B?

DeepSeek VL2 Tiny supports an unknown number of tokens and Qwen3 235B A22B supports 128K 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 235B A22B?

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 235B A22B?

DeepSeek VL2 Tiny is developed by DeepSeek and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.