Model Comparison

DeepSeek VL2 vs Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek VL2 outperforms in 0 benchmarks, while Gemini 2.5 Flash-Lite is better at 1 benchmark (MMMU).

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Gemini 2.5 Flash-Lite accepts 1,048,576 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Gemini 2.5 Flash-Lite is limited to 65,536 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Gemini 2.5 Flash-Lite support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Gemini 2.5 Flash-Lite uses Creative Commons Attribution 4.0 License.

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

DeepSeek VL2

deepseek

Open weights

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Gemini 2.5 Flash-Lite was released on 2025-06-17.

Gemini 2.5 Flash-Lite is 6 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

Gemini 2.5 Flash-Lite

Jun 17, 2025

10 months ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while DeepSeek VL2's cutoff date is not specified.

We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

Gemini 2.5 Flash-Lite

Jan 2025

Provider Availability

DeepSeek VL2 is available from Replicate. Gemini 2.5 Flash-Lite is available from Google.

DeepSeek VL2

replicate logo
Replicate

Gemini 2.5 Flash-Lite

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek

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

Google
Larger context window (1,048,576 tokens)
Higher MMMU score (72.9% vs 51.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Google
Gemini 2.5 Flash-Lite

FAQ

Common questions about DeepSeek VL2 vs Gemini 2.5 Flash-Lite.

Which is better, DeepSeek VL2 or Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks. DeepSeek VL2 is made by DeepSeek and Gemini 2.5 Flash-Lite is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 compare to Gemini 2.5 Flash-Lite in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%.

What are the context window sizes for DeepSeek VL2 and Gemini 2.5 Flash-Lite?

DeepSeek VL2 supports 129K tokens and Gemini 2.5 Flash-Lite supports 1.0M 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 and Gemini 2.5 Flash-Lite?

Key differences include context window (129K vs 1.0M), licensing (deepseek vs Creative Commons Attribution 4.0 License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Gemini 2.5 Flash-Lite?

DeepSeek VL2 is developed by DeepSeek and Gemini 2.5 Flash-Lite is developed by Google.