Model Comparison

DeepSeek VL2 Tiny vs GLM-4.5V

Comparing DeepSeek VL2 Tiny and GLM-4.5V across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and GLM-4.5V 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

105.0B diff

GLM-4.5V has 105.0B more parameters than DeepSeek VL2 Tiny, making it 3500.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
3.0B
DeepSeek VL2 Tiny
108.0B
GLM-4.5V

Context Window

Maximum input and output token capacity

Only GLM-4.5V specifies input context (131,072 tokens). Only GLM-4.5V specifies output context (131,072 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and GLM-4.5V support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2 Tiny

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while GLM-4.5V uses MIT.

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

DeepSeek VL2 Tiny

deepseek

Open weights

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while GLM-4.5V was released on 2025-08-11.

GLM-4.5V is 8 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

GLM-4.5V

Aug 11, 2025

9 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

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Key Takeaways

DeepSeek

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

Zhipu AI
Larger context window (131,072 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Zhipu AI
GLM-4.5V

FAQ

Common questions about DeepSeek VL2 Tiny vs GLM-4.5V.

Which is better, DeepSeek VL2 Tiny or GLM-4.5V?

DeepSeek VL2 Tiny (DeepSeek) and GLM-4.5V (Zhipu AI) 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 GLM-4.5V in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%.

What are the context window sizes for DeepSeek VL2 Tiny and GLM-4.5V?

DeepSeek VL2 Tiny supports an unknown number of tokens and GLM-4.5V supports 131K 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 GLM-4.5V?

Key differences include licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and GLM-4.5V?

DeepSeek VL2 Tiny is developed by DeepSeek and GLM-4.5V is developed by Zhipu AI.