Model Comparison

Gemini 1.5 Flash vs DeepSeek-R1-0528

DeepSeek-R1-0528 significantly outperforms across most benchmarks. Gemini 1.5 Flash is 3.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.5 Flash outperforms in 0 benchmarks, while DeepSeek-R1-0528 is better at 2 benchmarks (GPQA, MMLU-Pro).

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash costs less

For input processing, Gemini 1.5 Flash ($0.15/1M tokens) is 3.3x cheaper than DeepSeek-R1-0528 ($0.50/1M tokens).

For output processing, Gemini 1.5 Flash ($0.60/1M tokens) is 3.6x cheaper than DeepSeek-R1-0528 ($2.15/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than Gemini 1.5 Flash.*

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

Lowest available price from all providers
Sun May 10 2026 • llm-stats.com
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
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 1.5 Flash 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 1.5 Flash is limited to 8,192 tokens.

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

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

Gemini 1.5 Flash

Text
Images
Audio
Video

DeepSeek-R1-0528

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 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 1.5 Flash

Proprietary

Closed source

DeepSeek-R1-0528

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while DeepSeek-R1-0528 was released on 2025-05-28.

DeepSeek-R1-0528 is 13 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

2.0 years ago

DeepSeek-R1-0528

May 28, 2025

11 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while DeepSeek-R1-0528's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.

Gemini 1.5 Flash

Nov 2023

DeepSeek-R1-0528

—

Provider Availability

Gemini 1.5 Flash is available from Google. DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita.

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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
Less expensive input tokens
Less expensive output tokens
DeepSeek
Has open weights
Higher GPQA score (81.0% vs 51.0%)
Higher MMLU-Pro score (85.0% vs 67.3%)
GoogleGemini 1.5 Flash
DeepSeekDeepSeek-R1-0528
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash
DeepSeek
DeepSeek-R1-0528

FAQ

Common questions about Gemini 1.5 Flash vs DeepSeek-R1-0528.

Which is better, Gemini 1.5 Flash or DeepSeek-R1-0528?

DeepSeek-R1-0528 significantly outperforms across most benchmarks. Gemini 1.5 Flash 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.

How does Gemini 1.5 Flash compare to DeepSeek-R1-0528 in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%. DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%.

Is Gemini 1.5 Flash cheaper than DeepSeek-R1-0528?

Gemini 1.5 Flash is 3.3x cheaper for input tokens. Gemini 1.5 Flash costs $0.15/M input and $0.60/M output via google. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra.

What are the context window sizes for Gemini 1.5 Flash and DeepSeek-R1-0528?

Gemini 1.5 Flash 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.

What are the main differences between Gemini 1.5 Flash and DeepSeek-R1-0528?

Key differences include context window (1.0M vs 131K), input pricing ($0.15 vs $0.50/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash and DeepSeek-R1-0528?

Gemini 1.5 Flash is developed by Google and DeepSeek-R1-0528 is developed by DeepSeek.