DeepSeek-V3.2-Exp vs GPT-4.1
DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 11.5x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V3.2-Exp outperforms in 6 benchmarks (Aider-Polyglot, AIME 2025, GPQA, HMMT 2025, Humanity's Last Exam, SWE-Bench Verified), while GPT-4.1 is better at 0 benchmarks. DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.
On price, DeepSeek-V3.2-Exp is roughly 11.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V3.2-Exp
- you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
- cost matters — it's about 11.5x cheaper per token
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
Choose GPT-4.1
- you process long inputs — it offers a 1,047,576 token context window
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Exp outperforms in 6 benchmarks (Aider-Polyglot, AIME 2025, GPQA, HMMT 2025, Humanity's Last Exam, SWE-Bench Verified), while GPT-4.1 is better at 0 benchmarks.
DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 7.4x cheaper than GPT-4.1 ($2.00/1M tokens).
For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 19.5x cheaper than GPT-4.1 ($8.00/1M tokens).
In conclusion, GPT-4.1 is more expensive than DeepSeek-V3.2-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 accepts 1,047,576 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. DeepSeek-V3.2-Exp can generate longer responses up to 65,536 tokens, while GPT-4.1 is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GPT-4.1 supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.
GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2-Exp
GPT-4.1
License
Usage and distribution terms
DeepSeek-V3.2-Exp is licensed under MIT, while GPT-4.1 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-V3.2-Exp was released on 2025-09-29, while GPT-4.1 was released on 2025-04-14.
DeepSeek-V3.2-Exp is 6 months newer than GPT-4.1.
Sep 29, 2025
11 months ago
5mo newerApr 14, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3.2-Exp's cutoff date is not specified.
We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V3.2-Exp's cutoff date.
—
Jun 2024
Provider Availability
DeepSeek-V3.2-Exp is available from Novita. GPT-4.1 is available from OpenAI.
DeepSeek-V3.2-Exp
GPT-4.1
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3.2-Exp and GPT-4.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.2-Exp vs GPT-4.1.