GPT-4.1 nano vs Hy4 preview
Hy4 preview leads the LLM Stats Score 51.5 to 1.9.
OpenAI · Tencent · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.5 to 1.9, ranking #10 overall.
In the 1 individual benchmarks reported for both models, Hy4 preview wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4.1 nano
- you want predictable pricing at $0.10/M input and $0.40/M output
Choose Hy4 preview
- overall performance matters — it scores 51.5 and ranks #10 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for GPT-4.1 nano · 32 for Hy4 preview
GPT-4.1 nano outperforms in 0 benchmarks, while Hy4 preview is better at 1 benchmark (GPQA).
Hy4 preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GPT-4.1 nano specifies input context (1,047,576 tokens). Only GPT-4.1 nano specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
GPT-4.1 nano supports multimodal inputs, whereas Hy4 preview does not.
GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4.1 nano
Hy4 preview
License
Usage and distribution terms
GPT-4.1 nano is licensed under a proprietary license, while Hy4 preview uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4.1 nano was released on 2025-04-14, while Hy4 preview was released on 2026-08-28.
Hy4 preview is 17 months newer than GPT-4.1 nano.
Apr 14, 2025
1.4 years ago
Aug 28, 2026
2 days ago
1.4yr newerKnowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Hy4 preview's cutoff date is not specified.
We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Hy4 preview's cutoff date.
May 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 nano and Hy4 preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 nano vs Hy4 preview.