Model Comparison

DeepSeek VL2 Tiny vs Qwen3-235B-A22B-Instruct-2507

Comparing DeepSeek VL2 Tiny and Qwen3-235B-A22B-Instruct-2507 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and Qwen3-235B-A22B-Instruct-2507 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

232.0B diff

Qwen3-235B-A22B-Instruct-2507 has 232.0B more parameters than DeepSeek VL2 Tiny, making it 7733.3% larger.

DeepSeek VL2 Tiny

3.0Bparameters

Qwen3-235B-A22B-Instruct-2507

235.0Bparameters

3.0B

DeepSeek VL2 Tiny

235.0B

Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

DeepSeek VL2 Tiny

Input- tokens

Output- tokens

Qwen3-235B-A22B-Instruct-2507

Input262,144 tokens

Output131,072 tokens

Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 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-Instruct-2507

Text

Images

Audio

Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Qwen3-235B-A22B-Instruct-2507 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-Instruct-2507

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-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 7 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

10 months ago

7mo 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 Tiny

View details

DeepSeek

Supports multimodal inputs

Qwen3-235B-A22B-Instruct-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek VL2 Tiny	Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about DeepSeek VL2 Tiny vs Qwen3-235B-A22B-Instruct-2507.

Which is better, DeepSeek VL2 Tiny or Qwen3-235B-A22B-Instruct-2507?

DeepSeek VL2 Tiny (DeepSeek) and Qwen3-235B-A22B-Instruct-2507 (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-Instruct-2507 in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for DeepSeek VL2 Tiny and Qwen3-235B-A22B-Instruct-2507?

DeepSeek VL2 Tiny supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 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 VL2 Tiny and Qwen3-235B-A22B-Instruct-2507?

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-Instruct-2507?

DeepSeek VL2 Tiny is developed by DeepSeek and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.