GPT-4o vs DeepSeek-V2.5 Comparison
Comparing GPT-4o and DeepSeek-V2.5 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 2 benchmarks (MMLU, SWE-Bench Verified), while DeepSeek-V2.5 is better at 0 benchmarks.
GPT-4o significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 17.9x more expensive than DeepSeek-V2.5 ($0.14/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 35.7x more expensive than DeepSeek-V2.5 ($0.28/1M tokens).
In conclusion, GPT-4o is more expensive than DeepSeek-V2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4o accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. GPT-4o can generate longer responses up to 16,384 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas DeepSeek-V2.5 does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
DeepSeek-V2.5
License
Usage and distribution terms
GPT-4o 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.
Proprietary
Closed source
deepseek
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-08-06, while DeepSeek-V2.5 was released on 2024-05-08.
GPT-4o is 3 months newer than DeepSeek-V2.5.
Aug 6, 2024
1.6 years ago
3mo newerMay 8, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. The availability of providers can affect quality of the model and reliability.
GPT-4o
DeepSeek-V2.5
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
DeepSeek-V2.5
View detailsDeepSeek
Detailed Comparison
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