Model Comparison

DeepSeek VL2 vs Gemini 1.5 Flash 8BWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: DeepSeek VL2 vs Gemini 1.5 Flash 8B — which is better?

DeepSeek VL2 (by DeepSeek) and Gemini 1.5 Flash 8B (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek VL2 outperforms in 1 benchmarks (MathVista), while Gemini 1.5 Flash 8B is better at 1 benchmark (MMMU). Both models are evenly matched across the benchmarks.

Gemini 1.5 Flash 8B also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek VL2 if…

  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.5 Flash 8B if…

  • you process long inputs — it offers a 1,048,576 token context window

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek VL2 outperforms in 1 benchmarks (MathVista), while Gemini 1.5 Flash 8B is better at 1 benchmark (MMMU).

Both models are evenly matched across the benchmarks.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

19.0B diff

DeepSeek VL2 has 19.0B more parameters than Gemini 1.5 Flash 8B, making it 237.5% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Google
Gemini 1.5 Flash 8B
8.0Bparameters
27.0B
DeepSeek VL2
8.0B
Gemini 1.5 Flash 8B

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B 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 1.5 Flash 8B is limited to 8,192 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Wed Jul 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 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

Text
Images
Audio
Video

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 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

deepseek

Open weights

Gemini 1.5 Flash 8B

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

DeepSeek VL2

Dec 13, 2024

1.6 years ago

9mo newer
Gemini 1.5 Flash 8B

Mar 15, 2024

2.3 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'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's cutoff date.

DeepSeek VL2

—

Gemini 1.5 Flash 8B

Oct 2024

Provider Availability

DeepSeek VL2 is available from Replicate. Gemini 1.5 Flash 8B is available from Google.

DeepSeek VL2

replicate logo
Replicate

Gemini 1.5 Flash 8B

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Has open weights
Higher MathVista score (62.8% vs 54.7%)
Google
Larger context window (1,048,576 tokens)
Higher MMMU score (53.7% vs 51.1%)
DeepSeekDeepSeek VL2
GoogleGemini 1.5 Flash 8B
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Gemini 1.5 Flash 8B side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Gemini 1.5 Flash 8B
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Google
Gemini 1.5 Flash 8B

FAQ

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

Which is better, DeepSeek VL2 or Gemini 1.5 Flash 8B?

Both models are evenly matched across the benchmarks. DeepSeek VL2 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.

How does DeepSeek VL2 compare to Gemini 1.5 Flash 8B in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%.

What are the context window sizes for DeepSeek VL2 and Gemini 1.5 Flash 8B?

DeepSeek VL2 supports 129K 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.

What are the main differences between DeepSeek VL2 and Gemini 1.5 Flash 8B?

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

Who makes DeepSeek VL2 and Gemini 1.5 Flash 8B?

DeepSeek VL2 is developed by DeepSeek and Gemini 1.5 Flash 8B is developed by Google.

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