DeepSeek-V3 vs GPT-5.2 Comparison

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

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 outperforms in 0 benchmarks, while GPT-5.2 is better at 2 benchmarks (GPQA, SWE-Bench Verified).

GPT-5.2 significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

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

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 12.7x cheaper than GPT-5.2 ($14.00/1M tokens).

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

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5.2 accepts 400,000 input tokens compared to DeepSeek-V3's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while GPT-5.2 is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas DeepSeek-V3 does not.

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

DeepSeek-V3

Text
Images
Audio
Video

GPT-5.2

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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

MIT + Model License (Commercial use allowed)

Open weights

GPT-5.2

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while GPT-5.2 was released on 2025-12-11.

GPT-5.2 is 12 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.2 years ago

GPT-5.2

Dec 11, 2025

3 months ago

11mo newer

Knowledge Cutoff

When training data ends

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

DeepSeek-V3

GPT-5.2

Aug 2025

Provider Availability

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

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Less expensive input tokens
Less expensive output tokens
Has open weights
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher GPQA score (92.4% vs 59.1%)
Higher SWE-Bench Verified score (80.0% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
OpenAI
GPT-5.2