DeepSeek-V4-Pro-0813 vs GPT-4.1 nano
Comparing DeepSeek-V4-Pro-0813 and GPT-4.1 nano across benchmarks, pricing, and capabilities.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and GPT-4.1 nano trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GPT-4.1 nano is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose GPT-4.1 nano
- cost matters — it's about 3.1x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 and GPT-4.1 nanodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 4.3x more expensive than GPT-4.1 nano ($0.10/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 2.2x more expensive than GPT-4.1 nano ($0.40/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than GPT-4.1 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to GPT-4.1 nano's 1,047,576 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while GPT-4.1 nano is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GPT-4.1 nano supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
GPT-4.1 nano
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while GPT-4.1 nano uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while GPT-4.1 nano was released on 2025-04-14.
DeepSeek-V4-Pro-0813 is 16 months newer than GPT-4.1 nano.
Aug 13, 2026
1 weeks ago
1.3yr newerApr 14, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while DeepSeek-V4-Pro-0813's cutoff date is not specified.
We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek-V4-Pro-0813's cutoff date.
—
May 2024
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. GPT-4.1 nano is available from OpenAI.
DeepSeek-V4-Pro-0813
GPT-4.1 nano
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and GPT-4.1 nano side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs GPT-4.1 nano.