Model Comparison
DeepSeek-R1 vs GPT-4.1 miniWhich is better in 2026?
Comparing DeepSeek-R1 and GPT-4.1 mini across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-R1 vs GPT-4.1 mini — which is better?
DeepSeek-R1 (by DeepSeek) and GPT-4.1 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.
On price, GPT-4.1 mini is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 mini also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-R1 if…
- you need open weights you can self-host or fine-tune
Choose GPT-4.1 mini if…
- cost matters — it's about 1.4x cheaper per token
- you process long inputs — it offers a 1,047,576 token context window
- you want the most recent training data — it shipped Apr 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1 and GPT-4.1 minidon'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, DeepSeek-R1 ($0.55/1M tokens) is 1.4x more expensive than GPT-4.1 mini ($0.40/1M tokens).
For output processing, DeepSeek-R1 ($2.19/1M tokens) is 1.4x more expensive than GPT-4.1 mini ($1.60/1M tokens).
In conclusion, DeepSeek-R1 is more expensive than GPT-4.1 mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 mini accepts 1,047,576 input tokens compared to DeepSeek-R1's 131,072 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while GPT-4.1 mini is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GPT-4.1 mini supports multimodal inputs, whereas DeepSeek-R1 does not.
GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1
GPT-4.1 mini
License
Usage and distribution terms
DeepSeek-R1 is licensed under MIT, while GPT-4.1 mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-R1 was released on 2025-01-20, while GPT-4.1 mini was released on 2025-04-14.
GPT-4.1 mini is 3 months newer than DeepSeek-R1.
Jan 20, 2025
1.4 years ago
Apr 14, 2025
1.2 years ago
2mo newerKnowledge Cutoff
When training data ends
GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while DeepSeek-R1's cutoff date is not specified.
We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek-R1's cutoff date.
—
May 2024
Provider Availability
DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. GPT-4.1 mini is available from OpenAI.
DeepSeek-R1
GPT-4.1 mini
Outputs Comparison
Key Takeaways
DeepSeek-R1
View detailsDeepSeek
GPT-4.1 mini
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek-R1 vs GPT-4.1 mini.