DeepSeek-V4-Pro-0813 vs o3
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. DeepSeek-V4-Pro-0813 is 6.4x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while o3 is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Pro-0813 is roughly 6.4x 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 1 of 1 shared benchmarks
- cost matters — it's about 6.4x 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 o3
- you want predictable pricing at $2.00/M input and $8.00/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while o3 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 4.6x cheaper than o3 ($2.00/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 9.2x cheaper than o3 ($8.00/1M tokens).
In conclusion, o3 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 o3's 200,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while o3 is limited to 100,000 tokens.
Input Capabilities
Supported data types and modalities
o3 supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
o3
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while o3 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 o3 was released on 2025-04-16.
DeepSeek-V4-Pro-0813 is 16 months newer than o3.
Aug 13, 2026
1 weeks ago
1.3yr newerApr 16, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
o3 has a documented knowledge cutoff of 2024-05-31, while DeepSeek-V4-Pro-0813's cutoff date is not specified.
We can confirm o3'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. o3 is available from OpenAI.
DeepSeek-V4-Pro-0813
o3
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and o3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs o3.