Model Comparison

DeepSeek VL2 Tiny vs GPT-3.5 Turbo

DeepSeek VL2 Tiny significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek VL2 Tiny outperforms in 2 benchmarks (MathVista, MMMU), while GPT-3.5 Turbo is better at 0 benchmarks.

DeepSeek VL2 Tiny significantly outperforms across most benchmarks.

Sun Apr 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sun Apr 19 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Tiny
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Sun Apr 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas GPT-3.5 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-3.5 Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while GPT-3.5 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-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while GPT-3.5 Turbo was released on 2023-03-21.

DeepSeek VL2 Tiny is 21 months newer than GPT-3.5 Turbo.

DeepSeek VL2 Tiny

Dec 13, 2024

1.3 years ago

1.7yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.1 years ago

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

DeepSeek VL2 Tiny

—

GPT-3.5 Turbo

Sep 2021

Outputs Comparison

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Key Takeaways

DeepSeek
Supports multimodal inputs
Has open weights
Higher MathVista score (53.6% vs 0.0%)
Higher MMMU score (40.7% vs 0.0%)
OpenAI
Larger context window (16,385 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
OpenAI
GPT-3.5 Turbo

FAQ

Common questions about DeepSeek VL2 Tiny vs GPT-3.5 Turbo

DeepSeek VL2 Tiny significantly outperforms across most benchmarks. DeepSeek VL2 Tiny is made by DeepSeek and GPT-3.5 Turbo is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.
DeepSeek VL2 Tiny supports an unknown number of tokens and GPT-3.5 Turbo supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 Tiny is developed by DeepSeek and GPT-3.5 Turbo is developed by OpenAI.