Model Comparison

Gemini 3.1 Pro vs DeepSeek-R1-0528

Gemini 3.1 Pro significantly outperforms across most benchmarks. DeepSeek-R1-0528 is 6.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 3.1 Pro outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while DeepSeek-R1-0528 is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-R1-0528 costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 5.0x more expensive than DeepSeek-R1-0528 ($0.50/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 7.0x more expensive than DeepSeek-R1-0528 ($2.15/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than DeepSeek-R1-0528.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
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Context Window

Maximum input and output token capacity

Gemini 3.1 Pro 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 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

DeepSeek-R1-0528

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while DeepSeek-R1-0528 uses MIT.

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

Gemini 3.1 Pro

Proprietary

Closed source

DeepSeek-R1-0528

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while DeepSeek-R1-0528 was released on 2025-05-28.

Gemini 3.1 Pro is 9 months newer than DeepSeek-R1-0528.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

8mo newer
DeepSeek-R1-0528

May 28, 2025

10 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-R1-0528's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.

Gemini 3.1 Pro

Jan 2025

DeepSeek-R1-0528

—

Provider Availability

Gemini 3.1 Pro is available from Google. DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher BrowseComp score (85.9% vs 8.9%)
Higher GPQA score (94.3% vs 81.0%)
Higher Humanity's Last Exam score (51.4% vs 17.7%)
Higher SWE-Bench Verified score (80.6% vs 44.6%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
DeepSeek
DeepSeek-R1-0528

FAQ

Common questions about Gemini 3.1 Pro vs DeepSeek-R1-0528

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and DeepSeek-R1-0528 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%.
DeepSeek-R1-0528 is 5.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra.
Gemini 3.1 Pro supports 1.0M tokens and DeepSeek-R1-0528 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 131K), input pricing ($2.50 vs $0.50/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and DeepSeek-R1-0528 is developed by DeepSeek.