Model Comparison

DeepSeek-R1-0528 vs Gemini 2.5 Flash-Lite

DeepSeek-R1-0528 significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 5.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-R1-0528 outperforms in 7 benchmarks (Aider-Polyglot, AIME 2025, GPQA, Humanity's Last Exam, LiveCodeBench, SimpleQA, SWE-Bench Verified), while Gemini 2.5 Flash-Lite is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Flash-Lite costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 5.0x more expensive than Gemini 2.5 Flash-Lite ($0.10/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 5.4x more expensive than Gemini 2.5 Flash-Lite ($0.40/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than Gemini 2.5 Flash-Lite.*

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
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Context Window

Maximum input and output token capacity

Gemini 2.5 Flash-Lite 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 Flash-Lite is limited to 65,536 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

Gemini 2.5 Flash-Lite 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 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while Gemini 2.5 Flash-Lite uses Creative Commons Attribution 4.0 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 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Gemini 2.5 Flash-Lite was released on 2025-06-17.

Gemini 2.5 Flash-Lite is 1 month newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

11 months ago

Gemini 2.5 Flash-Lite

Jun 17, 2025

10 months ago

2w newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while DeepSeek-R1-0528's cutoff date is not specified.

We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.

DeepSeek-R1-0528

—

Gemini 2.5 Flash-Lite

Jan 2025

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. Gemini 2.5 Flash-Lite 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 Flash-Lite

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Higher Aider-Polyglot score (71.6% vs 26.7%)
Higher AIME 2025 score (87.5% vs 49.8%)
Higher GPQA score (81.0% vs 64.6%)
Higher Humanity's Last Exam score (17.7% vs 5.1%)
Higher LiveCodeBench score (73.3% vs 33.7%)
Higher SimpleQA score (92.3% vs 10.7%)
Higher SWE-Bench Verified score (44.6% vs 31.6%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Google
Gemini 2.5 Flash-Lite

FAQ

Common questions about DeepSeek-R1-0528 vs Gemini 2.5 Flash-Lite

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and Gemini 2.5 Flash-Lite is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%.
Gemini 2.5 Flash-Lite is 5.0x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. Gemini 2.5 Flash-Lite costs $0.10/M input and $0.40/M output via google.
DeepSeek-R1-0528 supports 131K tokens and Gemini 2.5 Flash-Lite 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 ($0.50 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Creative Commons Attribution 4.0 License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1-0528 is developed by DeepSeek and Gemini 2.5 Flash-Lite is developed by Google.