GPT-5.2 vs DeepSeek-V3.2 (Non-thinking) Comparison

Comparing GPT-5.2 and DeepSeek-V3.2 (Non-thinking) across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.2 and DeepSeek-V3.2 (Non-thinking) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Non-thinking) costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 6.2x more expensive than DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 33.3x more expensive than DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens).

In conclusion, GPT-5.2 is more expensive than DeepSeek-V3.2 (Non-thinking).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
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Context Window

Maximum input and output token capacity

GPT-5.2 accepts 400,000 input tokens compared to DeepSeek-V3.2 (Non-thinking)'s 131,072 tokens. GPT-5.2 can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2 (Non-thinking) is limited to 8,192 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input131,072 tokens
Output8,192 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas DeepSeek-V3.2 (Non-thinking) does not.

GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.2

Text
Images
Audio
Video

DeepSeek-V3.2 (Non-thinking)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while DeepSeek-V3.2 (Non-thinking) uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.2

Proprietary

Closed source

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01.

GPT-5.2 is 0 month newer than DeepSeek-V3.2 (Non-thinking).

GPT-5.2

Dec 11, 2025

3 months ago

1w newer
DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

3 months ago

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while DeepSeek-V3.2 (Non-thinking)'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 (Non-thinking)'s cutoff date.

GPT-5.2

Aug 2025

DeepSeek-V3.2 (Non-thinking)

Provider Availability

GPT-5.2 is available from OpenAI. DeepSeek-V3.2 (Non-thinking) is available from DeepSeek. The availability of providers can affect quality of the model and reliability.

GPT-5.2

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

DeepSeek-V3.2 (Non-thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
DeepSeek
DeepSeek-V3.2 (Non-thinking)