DeepSeek-V3.2-Speciale vs GPT-5 High Comparison

Comparing DeepSeek-V3.2-Speciale and GPT-5 High across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.2-Speciale outperforms in 1 benchmarks (AIME 2025), while GPT-5 High is better at 0 benchmarks.

DeepSeek-V3.2-Speciale 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-Speciale costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 4.5x cheaper than GPT-5 High ($1.25/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 23.8x cheaper than GPT-5 High ($10.00/1M tokens).

In conclusion, GPT-5 High is more expensive than DeepSeek-V3.2-Speciale.*

* 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-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
OpenAI
GPT-5 High
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

GPT-5 High 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 High is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-5 High
Input400,000 tokens
Output128,000 tokens
Sun Mar 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 High supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

GPT-5 High can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Speciale

Text
Images
Audio
Video

GPT-5 High

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while GPT-5 High uses a proprietary license.

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

DeepSeek-V3.2-Speciale

MIT

Open weights

GPT-5 High

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while GPT-5 High was released on 2025-08-07.

DeepSeek-V3.2-Speciale is 4 months newer than GPT-5 High.

DeepSeek-V3.2-Speciale

Dec 1, 2025

3 months ago

3mo newer
GPT-5 High

Aug 7, 2025

7 months ago

Knowledge Cutoff

When training data ends

GPT-5 High has a documented knowledge cutoff of 2024-09-30, while DeepSeek-V3.2-Speciale's cutoff date is not specified.

We can confirm GPT-5 High's training data extends to 2024-09-30, but cannot make a direct comparison without DeepSeek-V3.2-Speciale's cutoff date.

DeepSeek-V3.2-Speciale

GPT-5 High

Sep 2024

Provider Availability

DeepSeek-V3.2-Speciale is available from DeepSeek. GPT-5 High is available from OpenAI. The availability of providers can affect quality of the model and reliability.

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

GPT-5 High

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* 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
Higher AIME 2025 score (96.0% vs 94.6%)
Larger context window (400,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Speciale
OpenAI
GPT-5 High