DeepSeek-V3.2-Exp vs GPT-5.2 Comparison

Comparing DeepSeek-V3.2-Exp and GPT-5.2 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

DeepSeek-V3.2-Exp outperforms in 0 benchmarks, while GPT-5.2 is better at 6 benchmarks (AIME 2025, BrowseComp, GPQA, HMMT 2025, Humanity's Last Exam, SWE-Bench Verified).

GPT-5.2 significantly outperforms across most benchmarks.

Sun Mar 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 6.5x cheaper than GPT-5.2 ($1.75/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 34.1x cheaper than GPT-5.2 ($14.00/1M tokens).

In conclusion, GPT-5.2 is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Sun Mar 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
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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-Exp's 163,840 tokens. GPT-5.2 can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
Sun Mar 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas DeepSeek-V3.2-Exp 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-Exp

Text
Images
Audio
Video

GPT-5.2

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp 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.

DeepSeek-V3.2-Exp

MIT

Open weights

GPT-5.2

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while GPT-5.2 was released on 2025-12-11.

GPT-5.2 is 2 months newer than DeepSeek-V3.2-Exp.

DeepSeek-V3.2-Exp

Sep 29, 2025

5 months ago

GPT-5.2

Dec 11, 2025

3 months ago

2mo newer

Knowledge Cutoff

When training data ends

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

DeepSeek-V3.2-Exp

GPT-5.2

Aug 2025

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. GPT-5.2 is available from OpenAI. The availability of providers can affect quality of the model and reliability.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

GPT-5.2

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Has open weights
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (100.0% vs 89.3%)
Higher BrowseComp score (65.8% vs 40.1%)
Higher GPQA score (92.4% vs 79.9%)
Higher HMMT 2025 score (99.4% vs 83.6%)
Higher Humanity's Last Exam score (34.5% vs 19.8%)
Higher SWE-Bench Verified score (80.0% vs 67.8%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
OpenAI
GPT-5.2