Model Comparison

DeepSeek-R1 vs Gemini 2.5 Flash-Lite

Comparing DeepSeek-R1 and Gemini 2.5 Flash-Lite across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Gemini 2.5 Flash-Lite 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

Gemini 2.5 Flash-Lite costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 5.5x more expensive than Gemini 2.5 Flash-Lite ($0.10/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 5.5x more expensive than Gemini 2.5 Flash-Lite ($0.40/1M tokens).

In conclusion, DeepSeek-R1 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
Mon Apr 13 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas DeepSeek-R1 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

Text
Images
Audio
Video

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1 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

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 was released on 2025-01-20, while Gemini 2.5 Flash-Lite was released on 2025-06-17.

Gemini 2.5 Flash-Lite is 5 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.2 years ago

Gemini 2.5 Flash-Lite

Jun 17, 2025

10 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while DeepSeek-R1'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's cutoff date.

DeepSeek-R1

—

Gemini 2.5 Flash-Lite

Jan 2025

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Gemini 2.5 Flash-Lite 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 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
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
Google
Gemini 2.5 Flash-Lite

FAQ

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

DeepSeek-R1 (DeepSeek) and Gemini 2.5 Flash-Lite (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 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 5.5x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. Gemini 2.5 Flash-Lite costs $0.10/M input and $0.40/M output via google.
DeepSeek-R1 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 ($0.55 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 is developed by DeepSeek and Gemini 2.5 Flash-Lite is developed by Google.