Model Comparison
DeepSeek-V3.2-Speciale vs GPT-5.2Which is better in 2026?
GPT-5.2 significantly outperforms across most benchmarks. DeepSeek-V3.2-Speciale is 15.3x cheaper per token.
Verdict: DeepSeek-V3.2-Speciale vs GPT-5.2 — which is better?
DeepSeek-V3.2-Speciale (by DeepSeek) and GPT-5.2 (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-5.2 is better at 5 benchmarks (AIME 2025, HMMT 2025, Humanity's Last Exam, SWE-Bench Verified, Toolathlon). GPT-5.2 significantly outperforms across most benchmarks.
On price, DeepSeek-V3.2-Speciale is roughly 15.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.2 also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3.2-Speciale if…
- cost matters — it's about 15.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-5.2 if…
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Dec 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Speciale outperforms in 0 benchmarks, while GPT-5.2 is better at 5 benchmarks (AIME 2025, HMMT 2025, Humanity's Last Exam, SWE-Bench Verified, Toolathlon).
GPT-5.2 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 6.2x cheaper than GPT-5.2 ($1.75/1M tokens).
For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 33.3x cheaper than GPT-5.2 ($14.00/1M tokens).
In conclusion, GPT-5.2 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-5.2 accepts 400,000 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-5.2 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.2 supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.
GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2-Speciale
GPT-5.2
License
Usage and distribution terms
DeepSeek-V3.2-Speciale is licensed under MIT, while GPT-5.2 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-5.2 was released on 2025-12-11.
GPT-5.2 is 0 month newer than DeepSeek-V3.2-Speciale.
Dec 1, 2025
7 months ago
Dec 11, 2025
7 months ago
1w newerKnowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while DeepSeek-V3.2-Speciale's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without DeepSeek-V3.2-Speciale's cutoff date.
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Aug 2025
Provider Availability
DeepSeek-V3.2-Speciale is available from DeepSeek. GPT-5.2 is available from OpenAI.
DeepSeek-V3.2-Speciale
GPT-5.2
Outputs Comparison
Key Takeaways
GPT-5.2
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V3.2-Speciale and GPT-5.2 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V3.2-Speciale vs GPT-5.2.