Model Comparison

DeepSeek VL2 Tiny vs Gemini 1.5 Flash 8B

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Gemini 1.5 Flash 8B is better at 2 benchmarks (MathVista, MMMU).

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Fri Apr 17 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
Fri Apr 17 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Tiny
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
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Model Size

Parameter count comparison

5.0B diff

Gemini 1.5 Flash 8B has 5.0B more parameters than DeepSeek VL2 Tiny, making it 166.7% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Google
Gemini 1.5 Flash 8B
8.0Bparameters
3.0B
DeepSeek VL2 Tiny
8.0B
Gemini 1.5 Flash 8B

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash 8B specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash 8B specifies output context (8,192 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and Gemini 1.5 Flash 8B 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 1.5 Flash 8B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Gemini 1.5 Flash 8B 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 1.5 Flash 8B

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Gemini 1.5 Flash 8B was released on 2024-03-15.

DeepSeek VL2 Tiny is 9 months newer than Gemini 1.5 Flash 8B.

DeepSeek VL2 Tiny

Dec 13, 2024

1.3 years ago

9mo newer
Gemini 1.5 Flash 8B

Mar 15, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

DeepSeek VL2 Tiny

—

Gemini 1.5 Flash 8B

Oct 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Has open weights
Google
Larger context window (1,048,576 tokens)
Higher MathVista score (54.7% vs 53.6%)
Higher MMMU score (53.7% vs 40.7%)
DeepSeekDeepSeek VL2 Tiny
GoogleGemini 1.5 Flash 8B
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Google
Gemini 1.5 Flash 8B

FAQ

Common questions about DeepSeek VL2 Tiny vs Gemini 1.5 Flash 8B

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. DeepSeek VL2 Tiny is made by DeepSeek and Gemini 1.5 Flash 8B 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 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%.
DeepSeek VL2 Tiny supports an unknown number of tokens and Gemini 1.5 Flash 8B supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 Tiny is developed by DeepSeek and Gemini 1.5 Flash 8B is developed by Google.