Model Comparison

DeepSeek R1 Zero vs Gemini 2.5 Pro Preview 06-05Which is better in 2026?

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

Verdict: DeepSeek R1 Zero vs Gemini 2.5 Pro Preview 06-05 — which is better?

DeepSeek R1 Zero (by DeepSeek) and Gemini 2.5 Pro Preview 06-05 (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 R1 Zero outperforms in 0 benchmarks, while Gemini 2.5 Pro Preview 06-05 is better at 2 benchmarks (GPQA, LiveCodeBench). Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

Choose DeepSeek R1 Zero if…

  • you need open weights you can self-host or fine-tune

Choose Gemini 2.5 Pro Preview 06-05 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Zero outperforms in 0 benchmarks, while Gemini 2.5 Pro Preview 06-05 is better at 2 benchmarks (GPQA, LiveCodeBench).

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro Preview 06-05 specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro Preview 06-05 specifies output context (65,535 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas DeepSeek R1 Zero does not.

Gemini 2.5 Pro Preview 06-05 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Zero

Text
Images
Audio
Video

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while Gemini 2.5 Pro Preview 06-05 uses a proprietary license.

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

DeepSeek R1 Zero

MIT

Open weights

Gemini 2.5 Pro Preview 06-05

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05.

Gemini 2.5 Pro Preview 06-05 is 5 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.4 years ago

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

1.0 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro Preview 06-05 has a documented knowledge cutoff of 2025-01-31, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm Gemini 2.5 Pro Preview 06-05's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.

DeepSeek R1 Zero

—

Gemini 2.5 Pro Preview 06-05

Jan 2025

Outputs Comparison

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Key Takeaways

DeepSeek
Has open weights
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (86.4% vs 73.3%)
Higher LiveCodeBench score (69.0% vs 50.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Zero
Google
Gemini 2.5 Pro Preview 06-05

FAQ

Common questions about DeepSeek R1 Zero vs Gemini 2.5 Pro Preview 06-05.

Which is better, DeepSeek R1 Zero or Gemini 2.5 Pro Preview 06-05?

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks. DeepSeek R1 Zero is made by DeepSeek and Gemini 2.5 Pro Preview 06-05 is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Zero compare to Gemini 2.5 Pro Preview 06-05 in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. Gemini 2.5 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%.

What are the context window sizes for DeepSeek R1 Zero and Gemini 2.5 Pro Preview 06-05?

DeepSeek R1 Zero supports an unknown number of tokens and Gemini 2.5 Pro Preview 06-05 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 R1 Zero and Gemini 2.5 Pro Preview 06-05?

Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Gemini 2.5 Pro Preview 06-05?

DeepSeek R1 Zero is developed by DeepSeek and Gemini 2.5 Pro Preview 06-05 is developed by Google.

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