Model Comparison

GPT-5.2 vs DeepSeek-V2.5

GPT-5.2 significantly outperforms across most benchmarks. DeepSeek-V2.5 is 27.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.2 outperforms in 1 benchmarks (SWE-Bench Verified), while DeepSeek-V2.5 is better at 0 benchmarks.

GPT-5.2 significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V2.5 costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 12.5x more expensive than DeepSeek-V2.5 ($0.14/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 50.0x more expensive than DeepSeek-V2.5 ($0.28/1M tokens).

In conclusion, GPT-5.2 is more expensive than DeepSeek-V2.5.*

* 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-V2.5
Input tokens$0.14
Output tokens$0.28
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-V2.5's 8,192 tokens. GPT-5.2 can generate longer responses up to 128,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas DeepSeek-V2.5 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-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while DeepSeek-V2.5 uses deepseek.

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

GPT-5.2

Proprietary

Closed source

DeepSeek-V2.5

deepseek

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while DeepSeek-V2.5 was released on 2024-05-08.

GPT-5.2 is 19 months newer than DeepSeek-V2.5.

GPT-5.2

Dec 11, 2025

4 months ago

1.6yr newer
DeepSeek-V2.5

May 8, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while DeepSeek-V2.5'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-V2.5's cutoff date.

GPT-5.2

Aug 2025

DeepSeek-V2.5

—

Provider Availability

GPT-5.2 is available from OpenAI. DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic.

GPT-5.2

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

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher SWE-Bench Verified score (80.0% vs 16.8%)
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-V2.5

FAQ

Common questions about GPT-5.2 vs DeepSeek-V2.5

GPT-5.2 significantly outperforms across most benchmarks. GPT-5.2 is made by OpenAI and DeepSeek-V2.5 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%.
DeepSeek-V2.5 is 12.5x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek.
GPT-5.2 supports 400K tokens and DeepSeek-V2.5 supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 8K), input pricing ($1.75 vs $0.14/M), multimodal support (yes vs no), licensing (Proprietary vs deepseek). See the full comparison above for benchmark-by-benchmark results.
GPT-5.2 is developed by OpenAI and DeepSeek-V2.5 is developed by DeepSeek.