Model Comparison

DeepSeek-V3 vs GPT-5 nano

GPT-5 nano significantly outperforms across most benchmarks. GPT-5 nano is 3.5x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3 outperforms in 0 benchmarks, while GPT-5 nano is better at 1 benchmark (GPQA).

GPT-5 nano significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 nano costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 5.4x more expensive than GPT-5 nano ($0.05/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.8x more expensive than GPT-5 nano ($0.40/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than GPT-5 nano.*

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

Lowest available price from all providers
Tue May 26 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
OpenAI
GPT-5 nano
Input tokens$0.05
Output tokens$0.40
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 nano accepts 400,000 input tokens compared to DeepSeek-V3's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while GPT-5 nano is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas DeepSeek-V3 does not.

GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

GPT-5 nano

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while GPT-5 nano 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

GPT-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while GPT-5 nano was released on 2025-08-07.

GPT-5 nano is 8 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

GPT-5 nano

Aug 7, 2025

9 months ago

7mo newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while DeepSeek-V3's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

DeepSeek-V3

—

GPT-5 nano

May 2024

Provider Availability

DeepSeek-V3 is available from DeepSeek. GPT-5 nano is available from OpenAI.

DeepSeek-V3

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

GPT-5 nano

openai logo
OpenAI
Input Price:Input: $0.05/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Has open weights
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (71.2% vs 59.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
OpenAI
GPT-5 nano

FAQ

Common questions about DeepSeek-V3 vs GPT-5 nano.

Which is better, DeepSeek-V3 or GPT-5 nano?

GPT-5 nano significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and GPT-5 nano is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 compare to GPT-5 nano in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%.

Is DeepSeek-V3 cheaper than GPT-5 nano?

GPT-5 nano is 5.4x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. GPT-5 nano costs $0.05/M input and $0.40/M output via openai.

What are the context window sizes for DeepSeek-V3 and GPT-5 nano?

DeepSeek-V3 supports 131K tokens and GPT-5 nano supports 400K 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 GPT-5 nano?

Key differences include context window (131K vs 400K), input pricing ($0.27 vs $0.05/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 GPT-5 nano?

DeepSeek-V3 is developed by DeepSeek and GPT-5 nano is developed by OpenAI.