Model Comparison

DeepSeek VL2 Tiny vs GPT-4 Turbo

Comparing DeepSeek VL2 Tiny and GPT-4 Turbo across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and GPT-4 Turbo don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas GPT-4 Turbo 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

GPT-4 Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while GPT-4 Turbo uses a proprietary license.

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

DeepSeek VL2 Tiny

deepseek

Open weights

GPT-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while GPT-4 Turbo was released on 2024-04-09.

DeepSeek VL2 Tiny is 8 months newer than GPT-4 Turbo.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

8mo newer
GPT-4 Turbo

Apr 9, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

DeepSeek VL2 Tiny

—

GPT-4 Turbo

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Supports multimodal inputs
Has open weights
OpenAI
Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
OpenAI
GPT-4 Turbo

FAQ

Common questions about DeepSeek VL2 Tiny vs GPT-4 Turbo.

Which is better, DeepSeek VL2 Tiny or GPT-4 Turbo?

DeepSeek VL2 Tiny (DeepSeek) and GPT-4 Turbo (OpenAI) 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 GPT-4 Turbo in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.

What are the context window sizes for DeepSeek VL2 Tiny and GPT-4 Turbo?

DeepSeek VL2 Tiny supports an unknown number of tokens and GPT-4 Turbo 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 GPT-4 Turbo?

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

Who makes DeepSeek VL2 Tiny and GPT-4 Turbo?

DeepSeek VL2 Tiny is developed by DeepSeek and GPT-4 Turbo is developed by OpenAI.