Model Comparison
DeepSeek-V2.5 vs GPT-4o miniWhich is better in 2026?
DeepSeek-V2.5 shows notably better performance in the majority of benchmarks. DeepSeek-V2.5 is 1.5x cheaper per token.
Verdict: DeepSeek-V2.5 vs GPT-4o mini — which is better?
DeepSeek-V2.5 (by DeepSeek) and GPT-4o mini (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V2.5 outperforms in 3 benchmarks (HumanEval, MATH, SWE-Bench Verified), while GPT-4o mini is better at 1 benchmark (MMLU). DeepSeek-V2.5 shows notably better performance in the majority of benchmarks.
On price, DeepSeek-V2.5 is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4o mini also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V2.5 if…
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- cost matters — it's about 1.5x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-4o mini if…
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Jul 2024
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 outperforms in 3 benchmarks (HumanEval, MATH, SWE-Bench Verified), while GPT-4o mini is better at 1 benchmark (MMLU).
DeepSeek-V2.5 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 1.1x cheaper than GPT-4o mini ($0.15/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 2.1x cheaper than GPT-4o mini ($0.60/1M tokens).
In conclusion, GPT-4o mini 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 mini accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. GPT-4o mini 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 mini supports multimodal inputs, whereas DeepSeek-V2.5 does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V2.5
GPT-4o mini
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while GPT-4o mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while GPT-4o mini was released on 2024-07-18.
GPT-4o mini is 2 months newer than DeepSeek-V2.5.
May 8, 2024
2.1 years ago
Jul 18, 2024
1.9 years ago
2mo newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V2.5's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.
—
Oct 2023
Provider Availability
DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. GPT-4o mini is available from Azure.
DeepSeek-V2.5
GPT-4o mini
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
GPT-4o mini
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek-V2.5 vs GPT-4o mini.