DeepSeek-V4-Pro-0813 vs GPT-6 Rosalind
Comparing DeepSeek-V4-Pro-0813 and GPT-6 Rosalind across benchmarks, pricing, and capabilities.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and GPT-6 Rosalind trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-V4-Pro-0813 is roughly 18.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- cost matters — it's about 18.5x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-6 Rosalind
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
12 reported for DeepSeek-V4-Pro-0813 · 0 for GPT-6 Rosalind
DeepSeek-V4-Pro-0813 and GPT-6 Rosalinddon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($1.30/1M tokens) is 11.5x cheaper than GPT-6 Rosalind ($15.00/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($2.60/1M tokens) is 28.8x cheaper than GPT-6 Rosalind ($75.00/1M tokens).
In conclusion, GPT-6 Rosalind 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
Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
GPT-6 Rosalind supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
GPT-6 Rosalind can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
GPT-6 Rosalind
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while GPT-6 Rosalind 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-6 Rosalind was released on 2026-10-30.
GPT-6 Rosalind is 3 months newer than DeepSeek-V4-Pro-0813.
Aug 13, 2026
2 months ago
Oct 30, 2026
1 weeks ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepInfra, DeepSeek, Novita, Together. GPT-6 Rosalind is available from OpenAI.
DeepSeek-V4-Pro-0813
GPT-6 Rosalind
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and GPT-6 Rosalind side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs GPT-6 Rosalind.