Model Comparison

DeepSeek-R1 vs Gemini 2.5 Pro Preview 06-05

Comparing DeepSeek-R1 and Gemini 2.5 Pro Preview 06-05 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Gemini 2.5 Pro Preview 06-05 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-R1 costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 2.3x cheaper than Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 4.6x 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.*

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

Lowest available price from all providers
Sun Apr 19 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
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's 131,072 tokens. DeepSeek-R1 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
Input131,072 tokens
Output131,072 tokens
Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Sun Apr 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1 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

MIT

Open weights

Gemini 2.5 Pro Preview 06-05

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1 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.

DeepSeek-R1

Jan 20, 2025

1.2 years ago

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

10 months 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'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's cutoff date.

DeepSeek-R1

Gemini 2.5 Pro Preview 06-05

Jan 2025

Provider Availability

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

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

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

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Has open weights
Larger context window (1,048,576 tokens)
Supports multimodal inputs

Detailed Comparison

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

FAQ

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

DeepSeek-R1 (DeepSeek) and Gemini 2.5 Pro Preview 06-05 (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
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%.
DeepSeek-R1 is 2.3x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. Gemini 2.5 Pro Preview 06-05 costs $1.25/M input and $10.00/M output via google.
DeepSeek-R1 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.
Key differences include context window (131K vs 1.0M), input pricing ($0.55 vs $1.25/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1 is developed by DeepSeek and Gemini 2.5 Pro Preview 06-05 is developed by Google.