Model Comparison

DeepSeek-R1 vs Gemini 1.5 Pro

Comparing DeepSeek-R1 and Gemini 1.5 Pro across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Gemini 1.5 Pro 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 4.5x cheaper than Gemini 1.5 Pro ($2.50/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 4.6x cheaper than Gemini 1.5 Pro ($10.00/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than DeepSeek-R1.*

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

Lowest available price from all providers
Sat Apr 04 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to DeepSeek-R1's 131,072 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Sat Apr 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Pro supports multimodal inputs, whereas DeepSeek-R1 does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1

Text
Images
Audio
Video

Gemini 1.5 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1 is licensed under MIT, while Gemini 1.5 Pro 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 1.5 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Gemini 1.5 Pro was released on 2024-05-01.

DeepSeek-R1 is 9 months newer than Gemini 1.5 Pro.

DeepSeek-R1

Jan 20, 2025

1.2 years ago

8mo newer
Gemini 1.5 Pro

May 1, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while DeepSeek-R1's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without DeepSeek-R1's cutoff date.

DeepSeek-R1

—

Gemini 1.5 Pro

Nov 2023

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Gemini 1.5 Pro 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 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Google
Larger context window (2,097,152 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Google
Gemini 1.5 Pro

FAQ

Common questions about DeepSeek-R1 vs Gemini 1.5 Pro

DeepSeek-R1 (DeepSeek) and Gemini 1.5 Pro (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%.
DeepSeek-R1 is 4.5x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google.
DeepSeek-R1 supports 131K tokens and Gemini 1.5 Pro supports 2.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 2.1M), input pricing ($0.55 vs $2.50/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 1.5 Pro is developed by Google.