Model Comparison

DeepSeek VL2 Tiny vs Gemini 1.0 Pro

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek VL2 Tiny outperforms in 1 benchmarks (MathVista), while Gemini 1.0 Pro is better at 1 benchmark (MMMU).

Both models are evenly matched across the benchmarks.

Tue Apr 14 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
Tue Apr 14 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Tiny
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas Gemini 1.0 Pro 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

Gemini 1.0 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Gemini 1.0 Pro 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 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

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

DeepSeek VL2 Tiny is 10 months newer than Gemini 1.0 Pro.

DeepSeek VL2 Tiny

Dec 13, 2024

1.3 years ago

10mo newer
Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek VL2 Tiny'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 Tiny's cutoff date.

DeepSeek VL2 Tiny

—

Gemini 1.0 Pro

Feb 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Supports multimodal inputs
Has open weights
Higher MathVista score (53.6% vs 46.6%)
Google
Larger context window (32,760 tokens)
Higher MMMU score (47.9% vs 40.7%)

Detailed Comparison

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

FAQ

Common questions about DeepSeek VL2 Tiny vs Gemini 1.0 Pro

Both models are evenly matched across the benchmarks. DeepSeek VL2 Tiny is made by DeepSeek and Gemini 1.0 Pro is made by Google. 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%. Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%.
DeepSeek VL2 Tiny supports an unknown number of tokens and Gemini 1.0 Pro supports 33K 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 Gemini 1.0 Pro is developed by Google.