DeepSeek-V4-Pro-0813 vs GPT-5.6 Sol
DeepSeek-V4-Pro-0813 and GPT-5.6 Sol are closely matched at 52.4 and 55.1 on the LLM Stats Score. DeepSeek-V4-Pro-0813 is 20.7x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and GPT-5.6 Sol are closely matched on the overall LLM Stats Score at 52.4 and 55.1.
In the 5 individual benchmarks reported for both models, GPT-5.6 Sol wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Pro-0813 is roughly 20.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- cost matters — it's about 20.7x cheaper per token
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose GPT-5.6 Sol
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for DeepSeek-V4-Pro-0813 · 45 for GPT-5.6 Sol
DeepSeek-V4-Pro-0813 outperforms in 2 benchmarks (AutomationBench, Toolathlon), while GPT-5.6 Sol is better at 3 benchmarks (Agents' Last Exam, DeepSWE, Terminal-Bench 2.1).
GPT-5.6 Sol has a slight edge in benchmark performance.
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 ($0.43/1M tokens) is 11.5x cheaper than GPT-5.6 Sol ($5.00/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 34.5x cheaper than GPT-5.6 Sol ($30.00/1M tokens).
In conclusion, GPT-5.6 Sol 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
GPT-5.6 Sol accepts 1,050,000 input tokens compared to DeepSeek-V4-Pro-0813's 1,048,576 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while GPT-5.6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.6 Sol supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
GPT-5.6 Sol
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while GPT-5.6 Sol 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-5.6 Sol was released on 2026-07-09.
DeepSeek-V4-Pro-0813 is 1 month newer than GPT-5.6 Sol.
Aug 13, 2026
3 weeks ago
1mo newerJul 9, 2026
2 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while DeepSeek-V4-Pro-0813's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without DeepSeek-V4-Pro-0813's cutoff date.
—
Feb 2026
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. GPT-5.6 Sol is available from OpenAI.
DeepSeek-V4-Pro-0813
GPT-5.6 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and GPT-5.6 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs GPT-5.6 Sol.