Model Comparison

DeepSeek-V3 vs Gemini 2.0 Flash

Gemini 2.0 Flash shows notably better performance in the majority of benchmarks. Gemini 2.0 Flash is 2.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 outperforms in 1 benchmarks (LiveCodeBench), while Gemini 2.0 Flash is better at 2 benchmarks (GPQA, MMLU-Pro).

Gemini 2.0 Flash shows notably better performance in the majority of benchmarks.

Mon Jun 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 2.7x more expensive than Gemini 2.0 Flash ($0.10/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.8x more expensive than Gemini 2.0 Flash ($0.40/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Gemini 2.0 Flash.*

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

Lowest available price from all providers
Mon Jun 01 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
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Context Window

Maximum input and output token capacity

Gemini 2.0 Flash 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 2.0 Flash is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Mon Jun 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas DeepSeek-V3 does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

Gemini 2.0 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Gemini 2.0 Flash uses a proprietary 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 2.0 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Gemini 2.0 Flash was released on 2024-12-01.

DeepSeek-V3 is 1 month newer than Gemini 2.0 Flash.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

3w newer
Gemini 2.0 Flash

Dec 1, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while DeepSeek-V3's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

DeepSeek-V3

—

Gemini 2.0 Flash

Aug 2024

Provider Availability

DeepSeek-V3 is available from DeepSeek. Gemini 2.0 Flash is available from Google.

DeepSeek-V3

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

Gemini 2.0 Flash

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
Has open weights
Higher LiveCodeBench score (37.6% vs 35.1%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (62.1% vs 59.1%)
Higher MMLU-Pro score (76.4% vs 75.9%)
DeepSeekDeepSeek-V3
GoogleGemini 2.0 Flash
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Google
Gemini 2.0 Flash

FAQ

Common questions about DeepSeek-V3 vs Gemini 2.0 Flash.

Which is better, DeepSeek-V3 or Gemini 2.0 Flash?

Gemini 2.0 Flash shows notably better performance in the majority of benchmarks. DeepSeek-V3 is made by DeepSeek and Gemini 2.0 Flash 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 2.0 Flash in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%.

Is DeepSeek-V3 cheaper than Gemini 2.0 Flash?

Gemini 2.0 Flash is 2.7x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google.

What are the context window sizes for DeepSeek-V3 and Gemini 2.0 Flash?

DeepSeek-V3 supports 131K tokens and Gemini 2.0 Flash 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 2.0 Flash?

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 Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Gemini 2.0 Flash?

DeepSeek-V3 is developed by DeepSeek and Gemini 2.0 Flash is developed by Google.