Model Comparison
DeepSeek-V3.2-Speciale vs GPT-5.6 TerraWhich is better in 2026?
GPT-5.6 Terra significantly outperforms across most benchmarks. DeepSeek-V3.2-Speciale is 17.9x cheaper per token.
Verdict: DeepSeek-V3.2-Speciale vs GPT-5.6 Terra — which is better?
DeepSeek-V3.2-Speciale (by DeepSeek) and GPT-5.6 Terra (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V3.2-Speciale outperforms in 0 benchmarks, while GPT-5.6 Terra is better at 1 benchmark (Toolathlon). GPT-5.6 Terra significantly outperforms across most benchmarks.
On price, DeepSeek-V3.2-Speciale is roughly 17.9x 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.
Choose DeepSeek-V3.2-Speciale if…
- cost matters — it's about 17.9x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-5.6 Terra if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Speciale outperforms in 0 benchmarks, while GPT-5.6 Terra is better at 1 benchmark (Toolathlon).
GPT-5.6 Terra significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 8.9x cheaper than GPT-5.6 Terra ($2.50/1M tokens).
For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 35.7x cheaper than GPT-5.6 Terra ($15.00/1M tokens).
In conclusion, GPT-5.6 Terra is more expensive than DeepSeek-V3.2-Speciale.*
* 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-V3.2-Speciale's 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 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-V3.2-Speciale does not.
GPT-5.6 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2-Speciale
GPT-5.6 Terra
License
Usage and distribution terms
DeepSeek-V3.2-Speciale 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-V3.2-Speciale was released on 2025-12-01, while GPT-5.6 Terra was released on 2026-07-09.
GPT-5.6 Terra is 7 months newer than DeepSeek-V3.2-Speciale.
Dec 1, 2025
7 months ago
Jul 9, 2026
1 weeks ago
7mo newerKnowledge Cutoff
When training data ends
GPT-5.6 Terra has a documented knowledge cutoff of 2026-02-16, while DeepSeek-V3.2-Speciale'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-V3.2-Speciale's cutoff date.
—
Feb 2026
Provider Availability
DeepSeek-V3.2-Speciale is available from DeepSeek. GPT-5.6 Terra is available from OpenAI.
DeepSeek-V3.2-Speciale
GPT-5.6 Terra
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V3.2-Speciale and GPT-5.6 Terra side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about DeepSeek-V3.2-Speciale vs GPT-5.6 Terra.