Model Comparison

DeepSeek VL2 Tiny vs Gemini 2.0 Flash Thinking

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Gemini 2.0 Flash Thinking is better at 1 benchmark (MMMU).

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and Gemini 2.0 Flash Thinking support multimodal inputs.

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Gemini 2.0 Flash Thinking 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

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Gemini 2.0 Flash Thinking was released on 2025-01-21.

Gemini 2.0 Flash Thinking is 1 month newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.3 years ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

DeepSeek VL2 Tiny

Gemini 2.0 Flash Thinking

Aug 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Has open weights
Higher MMMU score (75.4% vs 40.7%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Google
Gemini 2.0 Flash Thinking

FAQ

Common questions about DeepSeek VL2 Tiny vs Gemini 2.0 Flash Thinking.

Which is better, DeepSeek VL2 Tiny or Gemini 2.0 Flash Thinking?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks. DeepSeek VL2 Tiny is made by DeepSeek and Gemini 2.0 Flash Thinking is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 Tiny compare to Gemini 2.0 Flash Thinking in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%.

What are the main differences between DeepSeek VL2 Tiny and Gemini 2.0 Flash Thinking?

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

Who makes DeepSeek VL2 Tiny and Gemini 2.0 Flash Thinking?

DeepSeek VL2 Tiny is developed by DeepSeek and Gemini 2.0 Flash Thinking is developed by Google.