Model Comparison
GPT-4o vs DeepSeek-V3.2 (Thinking)Which is better in 2026?
DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) is 13.9x cheaper per token.
Verdict: GPT-4o vs DeepSeek-V3.2 (Thinking) — which is better?
GPT-4o (by OpenAI) and DeepSeek-V3.2 (Thinking) (by DeepSeek) 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.
GPT-4o outperforms in 0 benchmarks, while DeepSeek-V3.2 (Thinking) is better at 4 benchmarks (GPQA, Humanity's Last Exam, MMLU-Pro, SWE-Bench Verified). DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.
On price, DeepSeek-V3.2 (Thinking) is roughly 13.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3.2 (Thinking) also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4o if…
- you want predictable pricing at $2.50/M input and $10.00/M output
Choose DeepSeek-V3.2 (Thinking) if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- cost matters — it's about 13.9x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Dec 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 0 benchmarks, while DeepSeek-V3.2 (Thinking) is better at 4 benchmarks (GPQA, Humanity's Last Exam, MMLU-Pro, SWE-Bench Verified).
DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 8.9x more expensive than DeepSeek-V3.2 (Thinking) ($0.28/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 23.8x more expensive than DeepSeek-V3.2 (Thinking) ($0.42/1M tokens).
In conclusion, GPT-4o is more expensive than DeepSeek-V3.2 (Thinking).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V3.2 (Thinking) accepts 131,072 input tokens compared to GPT-4o's 128,000 tokens. DeepSeek-V3.2 (Thinking) can generate longer responses up to 65,536 tokens, while GPT-4o is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas DeepSeek-V3.2 (Thinking) does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
DeepSeek-V3.2 (Thinking)
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while DeepSeek-V3.2 (Thinking) uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-08-06, while DeepSeek-V3.2 (Thinking) was released on 2025-12-01.
DeepSeek-V3.2 (Thinking) is 16 months newer than GPT-4o.
Aug 6, 2024
1.9 years ago
Dec 1, 2025
6 months ago
1.3yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. DeepSeek-V3.2 (Thinking) is available from DeepSeek.
GPT-4o
DeepSeek-V3.2 (Thinking)
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about GPT-4o vs DeepSeek-V3.2 (Thinking).