DeepSeek-V4-Pro-0813 vs GPT-5.6 Luna
DeepSeek-V4-Pro-0813 leads the LLM Stats Score 52.0 to 45.1. GPT-5.6 Luna is 1.2x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 leads the overall LLM Stats Score 52.0 to 45.1, ranking #12 overall.
In the 5 individual benchmarks reported for both models, DeepSeek-V4-Pro-0813 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-5.6 Luna is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Luna 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
- overall performance matters — it scores 52.0 and ranks #12 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- 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 Luna
- cost matters — it's about 1.2x cheaper per token
- 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 Luna
DeepSeek-V4-Pro-0813 outperforms in 3 benchmarks (AutomationBench, Terminal-Bench 2.1, Toolathlon), while GPT-5.6 Luna is better at 2 benchmarks (Agents' Last Exam, DeepSWE).
DeepSeek-V4-Pro-0813 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 2.2x more expensive than GPT-5.6 Luna ($0.20/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 1.4x cheaper than GPT-5.6 Luna ($1.20/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than GPT-5.6 Luna.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Luna 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 Luna is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.6 Luna supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
GPT-5.6 Luna
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while GPT-5.6 Luna 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 Luna was released on 2026-07-09.
DeepSeek-V4-Pro-0813 is 1 month newer than GPT-5.6 Luna.
Aug 13, 2026
1 months ago
1mo newerJul 9, 2026
2 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Luna 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 Luna'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 Luna is available from OpenAI.
DeepSeek-V4-Pro-0813
GPT-5.6 Luna
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and GPT-5.6 Luna side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs GPT-5.6 Luna.