Model Comparison

GPT-5.2 vs DeepSeek-R1

Comparing GPT-5.2 and DeepSeek-R1 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.2 and DeepSeek-R1 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-R1 costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 3.2x more expensive than DeepSeek-R1 ($0.55/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 6.4x more expensive than DeepSeek-R1 ($2.19/1M tokens).

In conclusion, GPT-5.2 is more expensive than DeepSeek-R1.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
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-R1's 131,072 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while GPT-5.2 is limited to 128,000 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas DeepSeek-R1 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-R1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while DeepSeek-R1 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-R1

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while DeepSeek-R1 was released on 2025-01-20.

GPT-5.2 is 11 months newer than DeepSeek-R1.

GPT-5.2

Dec 11, 2025

4 months ago

10mo newer
DeepSeek-R1

Jan 20, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while DeepSeek-R1'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-R1's cutoff date.

GPT-5.2

Aug 2025

DeepSeek-R1

—

Provider Availability

GPT-5.2 is available from OpenAI. DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks.

GPT-5.2

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

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

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

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
DeepSeek
DeepSeek-R1

FAQ

Common questions about GPT-5.2 vs DeepSeek-R1

GPT-5.2 (OpenAI) and DeepSeek-R1 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%.
DeepSeek-R1 is 3.2x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek.
GPT-5.2 supports 400K tokens and DeepSeek-R1 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 131K), input pricing ($1.75 vs $0.55/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
GPT-5.2 is developed by OpenAI and DeepSeek-R1 is developed by DeepSeek.