Model Comparison

Gemini 1.0 Pro vs DeepSeek VL2

DeepSeek VL2 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while DeepSeek VL2 is better at 2 benchmarks (MathVista, MMMU).

DeepSeek VL2 significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Gemini 1.0 Pro does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

Text
Images
Audio
Video

DeepSeek VL2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while DeepSeek VL2 uses deepseek.

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

Gemini 1.0 Pro

Proprietary

Closed source

DeepSeek VL2

deepseek

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while DeepSeek VL2 was released on 2024-12-13.

DeepSeek VL2 is 10 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

DeepSeek VL2

Dec 13, 2024

1.4 years ago

10mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek VL2's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

Gemini 1.0 Pro

Feb 2024

DeepSeek VL2

—

Provider Availability

Gemini 1.0 Pro is available from Google. DeepSeek VL2 is available from Replicate.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

DeepSeek VL2

replicate logo
Replicate
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google

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

DeepSeek
Larger context window (129,280 tokens)
Supports multimodal inputs
Has open weights
Higher MathVista score (62.8% vs 46.6%)
Higher MMMU score (51.1% vs 47.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
DeepSeek
DeepSeek VL2

FAQ

Common questions about Gemini 1.0 Pro vs DeepSeek VL2.

Which is better, Gemini 1.0 Pro or DeepSeek VL2?

DeepSeek VL2 significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and DeepSeek VL2 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.0 Pro compare to DeepSeek VL2 in benchmarks?

Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%.

What are the context window sizes for Gemini 1.0 Pro and DeepSeek VL2?

Gemini 1.0 Pro supports 33K tokens and DeepSeek VL2 supports 129K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and DeepSeek VL2?

Key differences include context window (33K vs 129K), multimodal support (no vs yes), licensing (Proprietary vs deepseek). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and DeepSeek VL2?

Gemini 1.0 Pro is developed by Google and DeepSeek VL2 is developed by DeepSeek.