Model Comparison

DeepSeek-V3 vs Gemini 2.5 Pro

Gemini 2.5 Pro significantly outperforms across most benchmarks. DeepSeek-V3 is 7.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

DeepSeek-V3 outperforms in 1 benchmarks (Aider-Polyglot Edit), while Gemini 2.5 Pro is better at 5 benchmarks (Aider-Polyglot, AIME 2024, GPQA, SimpleQA, SWE-Bench Verified).

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 4.6x cheaper than Gemini 2.5 Pro ($1.25/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 9.1x cheaper than Gemini 2.5 Pro ($10.00/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than DeepSeek-V3.*

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

Lowest available price from all providers
Wed May 13 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
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Context Window

Maximum input and output token capacity

Gemini 2.5 Pro 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 Pro is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas DeepSeek-V3 does not.

Gemini 2.5 Pro 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 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Gemini 2.5 Pro 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 2.5 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Gemini 2.5 Pro was released on 2025-05-20.

Gemini 2.5 Pro is 5 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

Gemini 2.5 Pro

May 20, 2025

11 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V3's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

DeepSeek-V3

—

Gemini 2.5 Pro

Jan 2025

Provider Availability

DeepSeek-V3 is available from DeepSeek. Gemini 2.5 Pro is available from Google.

DeepSeek-V3

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

Gemini 2.5 Pro

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Aider-Polyglot Edit score (79.7% vs 72.7%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher Aider-Polyglot score (76.5% vs 49.6%)
Higher AIME 2024 score (92.0% vs 39.2%)
Higher GPQA score (83.0% vs 59.1%)
Higher SimpleQA score (50.8% vs 24.9%)
Higher SWE-Bench Verified score (63.2% vs 42.0%)
DeepSeekDeepSeek-V3
GoogleGemini 2.5 Pro
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Google
Gemini 2.5 Pro

FAQ

Common questions about DeepSeek-V3 vs Gemini 2.5 Pro.

Which is better, DeepSeek-V3 or Gemini 2.5 Pro?

Gemini 2.5 Pro significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and Gemini 2.5 Pro 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 Pro 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 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%.

Is DeepSeek-V3 cheaper than Gemini 2.5 Pro?

DeepSeek-V3 is 4.6x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google.

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

DeepSeek-V3 supports 131K tokens and Gemini 2.5 Pro 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 Pro?

Key differences include context window (131K vs 1.0M), input pricing ($0.27 vs $1.25/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 2.5 Pro?

DeepSeek-V3 is developed by DeepSeek and Gemini 2.5 Pro is developed by Google.