Model Comparison

DeepSeek-V3.2-Speciale vs GPT-4.1

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks. DeepSeek-V3.2-Speciale is 11.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3.2-Speciale outperforms in 4 benchmarks (AIME 2025, HMMT 2025, Humanity's Last Exam, SWE-Bench Verified), while GPT-4.1 is better at 0 benchmarks.

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks.

Tue May 12 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 7.1x cheaper than GPT-4.1 ($2.00/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 19.0x cheaper than GPT-4.1 ($8.00/1M tokens).

In conclusion, GPT-4.1 is more expensive than DeepSeek-V3.2-Speciale.*

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

Lowest available price from all providers
Tue May 12 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
OpenAI
GPT-4.1
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

GPT-4.1 accepts 1,047,576 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-4.1 is limited to 32,768 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

GPT-4.1 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-4.1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while GPT-4.1 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-4.1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while GPT-4.1 was released on 2025-04-14.

DeepSeek-V3.2-Speciale is 8 months newer than GPT-4.1.

DeepSeek-V3.2-Speciale

Dec 1, 2025

5 months ago

7mo newer
GPT-4.1

Apr 14, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3.2-Speciale's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V3.2-Speciale's cutoff date.

DeepSeek-V3.2-Speciale

—

GPT-4.1

Jun 2024

Provider Availability

DeepSeek-V3.2-Speciale is available from DeepSeek. GPT-4.1 is available from OpenAI.

DeepSeek-V3.2-Speciale

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

GPT-4.1

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (96.0% vs 46.4%)
Higher HMMT 2025 score (99.2% vs 28.9%)
Higher Humanity's Last Exam score (30.6% vs 5.4%)
Higher SWE-Bench Verified score (73.1% vs 54.6%)
OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
DeepSeekDeepSeek-V3.2-Speciale
OpenAIGPT-4.1
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Speciale
OpenAI
GPT-4.1

FAQ

Common questions about DeepSeek-V3.2-Speciale vs GPT-4.1.

Which is better, DeepSeek-V3.2-Speciale or GPT-4.1?

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks. DeepSeek-V3.2-Speciale is made by DeepSeek and GPT-4.1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.2-Speciale compare to GPT-4.1 in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%.

Is DeepSeek-V3.2-Speciale cheaper than GPT-4.1?

DeepSeek-V3.2-Speciale is 7.1x cheaper for input tokens. DeepSeek-V3.2-Speciale costs $0.28/M input and $0.42/M output via deepseek. GPT-4.1 costs $2.00/M input and $8.00/M output via openai.

What are the context window sizes for DeepSeek-V3.2-Speciale and GPT-4.1?

DeepSeek-V3.2-Speciale supports 131K tokens and GPT-4.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Speciale and GPT-4.1?

Key differences include context window (131K vs 1.0M), input pricing ($0.28 vs $2.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Speciale and GPT-4.1?

DeepSeek-V3.2-Speciale is developed by DeepSeek and GPT-4.1 is developed by OpenAI.