Model Comparison

DeepSeek-V3 vs Gemini 2.5 Flash-Lite

DeepSeek-V3 significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 2.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 outperforms in 4 benchmarks (Aider-Polyglot, LiveCodeBench, SimpleQA, SWE-Bench Verified), while Gemini 2.5 Flash-Lite is better at 1 benchmark (GPQA).

DeepSeek-V3 significantly outperforms across most benchmarks.

Fri May 08 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-V3 ($0.27/1M tokens) is 2.7x more expensive than Gemini 2.5 Flash-Lite ($0.10/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.8x more expensive than Gemini 2.5 Flash-Lite ($0.40/1M tokens).

In conclusion, DeepSeek-V3 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 08 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
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-V3's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Gemini 2.5 Flash-Lite is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Fri May 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas DeepSeek-V3 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-V3

Text
Images
Audio
Video

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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-V3

MIT + Model License (Commercial use allowed)

Open weights

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Gemini 2.5 Flash-Lite was released on 2025-06-17.

Gemini 2.5 Flash-Lite is 6 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

Gemini 2.5 Flash-Lite

Jun 17, 2025

10 months ago

5mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while DeepSeek-V3'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-V3's cutoff date.

DeepSeek-V3

—

Gemini 2.5 Flash-Lite

Jan 2025

Provider Availability

DeepSeek-V3 is available from DeepSeek. Gemini 2.5 Flash-Lite is available from Google.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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 (49.6% vs 26.7%)
Higher LiveCodeBench score (37.6% vs 33.7%)
Higher SimpleQA score (24.9% vs 10.7%)
Higher SWE-Bench Verified score (42.0% vs 31.6%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (64.6% vs 59.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Google
Gemini 2.5 Flash-Lite

FAQ

Common questions about DeepSeek-V3 vs Gemini 2.5 Flash-Lite.

Which is better, DeepSeek-V3 or Gemini 2.5 Flash-Lite?

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 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.

How does DeepSeek-V3 compare to Gemini 2.5 Flash-Lite in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. 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%.

Is DeepSeek-V3 cheaper than Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite is 2.7x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Gemini 2.5 Flash-Lite costs $0.10/M input and $0.40/M output via google.

What are the context window sizes for DeepSeek-V3 and Gemini 2.5 Flash-Lite?

DeepSeek-V3 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.

What are the main differences between DeepSeek-V3 and Gemini 2.5 Flash-Lite?

Key differences include context window (131K vs 1.0M), input pricing ($0.27 vs $0.10/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Creative Commons Attribution 4.0 License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Gemini 2.5 Flash-Lite?

DeepSeek-V3 is developed by DeepSeek and Gemini 2.5 Flash-Lite is developed by Google.