Model Comparison
GPT-4o mini vs DeepSeek-R1Which is better in 2026?
Comparing GPT-4o mini and DeepSeek-R1 across benchmarks, pricing, and capabilities.
Verdict: GPT-4o mini vs DeepSeek-R1 — which is better?
GPT-4o mini (by OpenAI) and DeepSeek-R1 (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.
On price, GPT-4o mini is roughly 3.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-R1 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4o mini if…
- cost matters — it's about 3.7x cheaper per token
Choose DeepSeek-R1 if…
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o mini and DeepSeek-R1don'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
For input processing, GPT-4o mini ($0.15/1M tokens) is 3.7x cheaper than DeepSeek-R1 ($0.55/1M tokens).
For output processing, GPT-4o mini ($0.60/1M tokens) is 3.6x cheaper than DeepSeek-R1 ($2.19/1M tokens).
In conclusion, DeepSeek-R1 is more expensive than GPT-4o mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-R1 accepts 131,072 input tokens compared to GPT-4o mini's 128,000 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
GPT-4o mini supports multimodal inputs, whereas DeepSeek-R1 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-R1
License
Usage and distribution terms
GPT-4o mini 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.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-4o mini was released on 2024-07-18, while DeepSeek-R1 was released on 2025-01-20.
DeepSeek-R1 is 6 months newer than GPT-4o mini.
Jul 18, 2024
2.0 years ago
Jan 20, 2025
1.4 years ago
6mo newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while DeepSeek-R1'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-R1's cutoff date.
Oct 2023
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Provider Availability
GPT-4o mini is available from Azure. DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks.
GPT-4o mini
DeepSeek-R1
Outputs Comparison
Key Takeaways
GPT-4o mini
View detailsOpenAI
DeepSeek-R1
View detailsDeepSeek
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-4o mini and DeepSeek-R1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-4o mini vs DeepSeek-R1.