DeepSeek-V4-Pro-0813 vs GPT-5.6 Terra
DeepSeek-V4-Pro-0813 has a slight edge in benchmark performance. DeepSeek-V4-Pro-0813 is 8.3x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 outperforms in 3 benchmarks (AutomationBench, Terminal-Bench 2.1, Toolathlon), while GPT-5.6 Terra is better at 2 benchmarks (Agents' Last Exam, DeepSWE). DeepSeek-V4-Pro-0813 has a slight edge in benchmark performance.
On price, DeepSeek-V4-Pro-0813 is roughly 8.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Terra 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 benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
- cost matters — it's about 8.3x 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 Terra
- you process long inputs — it offers a 1,050,000 token context window
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 outperforms in 3 benchmarks (AutomationBench, Terminal-Bench 2.1, Toolathlon), while GPT-5.6 Terra is better at 2 benchmarks (Agents' Last Exam, DeepSWE).
DeepSeek-V4-Pro-0813 has a slight edge in benchmark performance.
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 GPT-5.6 Terra ($2.00/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 13.8x cheaper than GPT-5.6 Terra ($12.00/1M tokens).
In conclusion, GPT-5.6 Terra 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 Terra 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 Terra is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.6 Terra supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
GPT-5.6 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
GPT-5.6 Terra
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while GPT-5.6 Terra 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 Terra was released on 2026-07-09.
DeepSeek-V4-Pro-0813 is 1 month newer than GPT-5.6 Terra.
Aug 13, 2026
1 weeks ago
1mo newerJul 9, 2026
1 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Terra 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 Terra'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 Terra is available from OpenAI.
DeepSeek-V4-Pro-0813
GPT-5.6 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and GPT-5.6 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs GPT-5.6 Terra.