Model Comparison
GPT-4o mini vs DeepSeek-V2.5Which 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: GPT-4o mini vs DeepSeek-V2.5 — which is better?
GPT-4o mini (by OpenAI) and DeepSeek-V2.5 (by DeepSeek) 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.
GPT-4o mini outperforms in 1 benchmarks (MMLU), while DeepSeek-V2.5 is better at 3 benchmarks (HumanEval, MATH, SWE-Bench Verified). 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 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
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
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o mini outperforms in 1 benchmarks (MMLU), while DeepSeek-V2.5 is better at 3 benchmarks (HumanEval, MATH, SWE-Bench Verified).
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, GPT-4o mini ($0.15/1M tokens) is 1.1x more expensive than DeepSeek-V2.5 ($0.14/1M tokens).
For output processing, GPT-4o mini ($0.60/1M tokens) is 2.1x more expensive than DeepSeek-V2.5 ($0.28/1M 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.
GPT-4o mini
DeepSeek-V2.5
License
Usage and distribution terms
GPT-4o mini 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 mini was released on 2024-07-18, while DeepSeek-V2.5 was released on 2024-05-08.
GPT-4o mini is 2 months newer than DeepSeek-V2.5.
Jul 18, 2024
1.9 years ago
2mo newerMay 8, 2024
2.1 years ago
Knowledge 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
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Provider Availability
GPT-4o mini is available from Azure. DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic.
GPT-4o mini
DeepSeek-V2.5
Outputs Comparison
Key Takeaways
GPT-4o mini
View detailsOpenAI
DeepSeek-V2.5
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about GPT-4o mini vs DeepSeek-V2.5.