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GPT-5 nano vs Hy4 preview

Hy4 preview leads the LLM Stats Score 51.0 to 19.5.

OpenAI · Tencent · Updated for 2026

Which is better?

Hy4 preview leads the overall LLM Stats Score 51.0 to 19.5, ranking #14 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-5 nano

  • you want predictable pricing at $0.05/M input and $0.40/M output

Choose Hy4 preview

  • overall performance matters — it scores 51.0 and ranks #14 on LLM Stats
  • your work emphasizes reasoning — 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.

Core performance indexes
19.5
#204
51.0
#14
18.9
#204
50.8
#10
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.05 / M
— / M
Output price
$0.40 / M
— / M
Context window
400,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5 nano
Hy4 preview
19.2#169
41.0#11
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-5 nano · 32 for Hy4 preview

1 shared

GPT-5 nano outperforms in 0 benchmarks, while Hy4 preview is better at 1 benchmark (GPQA).

Hy4 preview significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).

OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Tencent
Hy4 preview
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5 nano supports multimodal inputs, whereas Hy4 preview does not.

GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 nano

Text
Images
Audio
Video

Hy4 preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 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.

GPT-5 nano

Proprietary

Closed source

Hy4 preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 nano was released on 2025-08-07, while Hy4 preview was released on 2026-08-28.

Hy4 preview is 13 months newer than GPT-5 nano.

GPT-5 nano

Aug 7, 2025

1.1 years ago

Hy4 preview

Aug 28, 2026

3 weeks ago

1.1yr newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Hy4 preview's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Hy4 preview's cutoff date.

GPT-5 nano

May 2024

Hy4 preview

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5 nano and Hy4 preview side-by-side, then vote on the output you prefer.

GPT-5 nano
✓ Preferred
Hy4 preview
Open in Playground

FAQ

Common questions about GPT-5 nano vs Hy4 preview.

Which is better, GPT-5 nano or Hy4 preview?

Hy4 preview leads the LLM Stats Score 51.0 to 19.5. GPT-5 nano is made by OpenAI and Hy4 preview is made by Tencent. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5 nano compare to Hy4 preview in benchmarks?

GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%. Hy4 preview scores GPQA: 92.3%, Terminal-Bench 2.1: 85.4%, WideSearch: 83.9%, MCP Atlas: 83.7%, SWE-bench Multilingual: 82.9%.

What are the context window sizes for GPT-5 nano and Hy4 preview?

GPT-5 nano supports 400K tokens and Hy4 preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5 nano and Hy4 preview?

Key differences include LLM Stats Score (19.5 vs 51.0), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 nano and Hy4 preview?

GPT-5 nano is developed by OpenAI and Hy4 preview is developed by Tencent.