DeepSeek-V4-Pro-0813 vs GPT-5.2
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. DeepSeek-V4-Pro-0813 is 8.9x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 outperforms in 2 benchmarks (Humanity's Last Exam, Toolathlon), while GPT-5.2 is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Pro-0813 is roughly 8.9x 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 want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 8.9x cheaper per token
- 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-5.2
- you want predictable pricing at $1.75/M input and $14.00/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 outperforms in 2 benchmarks (Humanity's Last Exam, Toolathlon), while GPT-5.2 is better at 0 benchmarks.
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
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 4.0x cheaper than GPT-5.2 ($1.75/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 16.1x cheaper than GPT-5.2 ($14.00/1M tokens).
In conclusion, GPT-5.2 is more expensive than DeepSeek-V4-Pro-0813.*
* 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-5.2's 400,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while GPT-5.2 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.2 supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
GPT-5.2
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while GPT-5.2 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-5.2 was released on 2025-12-11.
DeepSeek-V4-Pro-0813 is 8 months newer than GPT-5.2.
Aug 13, 2026
1 weeks ago
8mo newerDec 11, 2025
8 months ago
Knowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while DeepSeek-V4-Pro-0813's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without DeepSeek-V4-Pro-0813's cutoff date.
—
Aug 2025
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. GPT-5.2 is available from OpenAI.
DeepSeek-V4-Pro-0813
GPT-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and GPT-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs GPT-5.2.