Model Comparison

DeepSeek-R1-0528 vs Gemini 2.5 Pro Preview 06-05Which is better in 2026?

Gemini 2.5 Pro Preview 06-05 shows notably better performance in the majority of benchmarks. DeepSeek-R1-0528 is 3.8x cheaper per token.

Verdict: DeepSeek-R1-0528 vs Gemini 2.5 Pro Preview 06-05 — which is better?

DeepSeek-R1-0528 (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-R1-0528 outperforms in 2 benchmarks (LiveCodeBench, SimpleQA), while Gemini 2.5 Pro Preview 06-05 is better at 5 benchmarks (Aider-Polyglot, AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified). Gemini 2.5 Pro Preview 06-05 shows notably better performance in the majority of benchmarks.

On price, DeepSeek-R1-0528 is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.5 Pro Preview 06-05 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-R1-0528 if…

  • cost matters — it's about 3.8x cheaper per token
  • 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 5 of 7 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jun 2025
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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-R1-0528 outperforms in 2 benchmarks (LiveCodeBench, SimpleQA), while Gemini 2.5 Pro Preview 06-05 is better at 5 benchmarks (Aider-Polyglot, AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified).

Gemini 2.5 Pro Preview 06-05 shows notably better performance in the majority of benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-R1-0528 costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 2.5x cheaper than Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 4.7x cheaper than Gemini 2.5 Pro Preview 06-05 ($10.00/1M tokens).

In conclusion, Gemini 2.5 Pro Preview 06-05 is more expensive than DeepSeek-R1-0528.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Jun 24 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
Google
Gemini 2.5 Pro Preview 06-05
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro Preview 06-05 accepts 1,048,576 input tokens compared to DeepSeek-R1-0528's 131,072 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while Gemini 2.5 Pro Preview 06-05 is limited to 65,535 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas DeepSeek-R1-0528 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-R1-0528

Text
Images
Audio
Video

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 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-R1-0528

MIT

Open weights

Gemini 2.5 Pro Preview 06-05

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05.

Gemini 2.5 Pro Preview 06-05 is 0 month newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

1.1 years ago

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

1.1 years ago

1w 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-R1-0528'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-R1-0528's cutoff date.

DeepSeek-R1-0528

—

Gemini 2.5 Pro Preview 06-05

Jan 2025

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. Gemini 2.5 Pro Preview 06-05 is available from Google.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

Gemini 2.5 Pro Preview 06-05

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher LiveCodeBench score (73.3% vs 69.0%)
Higher SimpleQA score (92.3% vs 54.0%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher Aider-Polyglot score (82.2% vs 71.6%)
Higher AIME 2025 score (88.0% vs 87.5%)
Higher GPQA score (86.4% vs 81.0%)
Higher Humanity's Last Exam score (21.6% vs 17.7%)
Higher SWE-Bench Verified score (67.2% vs 44.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Google
Gemini 2.5 Pro Preview 06-05

FAQ

Common questions about DeepSeek-R1-0528 vs Gemini 2.5 Pro Preview 06-05.

Which is better, DeepSeek-R1-0528 or Gemini 2.5 Pro Preview 06-05?

Gemini 2.5 Pro Preview 06-05 shows notably better performance in the majority of benchmarks. DeepSeek-R1-0528 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-R1-0528 compare to Gemini 2.5 Pro Preview 06-05 in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. 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%.

Is DeepSeek-R1-0528 cheaper than Gemini 2.5 Pro Preview 06-05?

DeepSeek-R1-0528 is 2.5x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. Gemini 2.5 Pro Preview 06-05 costs $1.25/M input and $10.00/M output via google.

What are the context window sizes for DeepSeek-R1-0528 and Gemini 2.5 Pro Preview 06-05?

DeepSeek-R1-0528 supports 131K 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-R1-0528 and Gemini 2.5 Pro Preview 06-05?

Key differences include context window (131K vs 1.0M), input pricing ($0.50 vs $1.25/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and Gemini 2.5 Pro Preview 06-05?

DeepSeek-R1-0528 is developed by DeepSeek and Gemini 2.5 Pro Preview 06-05 is developed by Google.

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