Model Comparison

GPT-5.6 Luna vs Hy3Which is better in 2026?

GPT-5.6 Luna significantly outperforms across most benchmarks.

Verdict: GPT-5.6 Luna vs Hy3 — which is better?

GPT-5.6 Luna (by OpenAI) and Hy3 (by Tencent) 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.

GPT-5.6 Luna outperforms in 5 benchmarks (DeepSWE, GPQA, SWE-Bench Pro, Terminal-Bench 2.1, Toolathlon), while Hy3 is better at 1 benchmark (BrowseComp). GPT-5.6 Luna significantly outperforms across most benchmarks.

Choose GPT-5.6 Luna if…

  • you want the strongest raw capability — it leads on 5 of 6 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Choose Hy3 if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-5.6 Luna outperforms in 5 benchmarks (DeepSWE, GPQA, SWE-Bench Pro, Terminal-Bench 2.1, Toolathlon), while Hy3 is better at 1 benchmark (BrowseComp).

GPT-5.6 Luna significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.6 Luna specifies input context (1,050,000 tokens). Only GPT-5.6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Tencent
Hy3
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.6 Luna supports multimodal inputs, whereas Hy3 does not.

GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Luna

Text
Images
Audio
Video

Hy3

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Luna is licensed under a proprietary license, while Hy3 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.6 Luna

Proprietary

Closed source

Hy3

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while Hy3 was released on 2026-07-06.

GPT-5.6 Luna is 0 month newer than Hy3.

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

3d newer
Hy3

Jul 6, 2026

1 weeks ago

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Hy3's cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Hy3's cutoff date.

GPT-5.6 Luna

Feb 2026

Hy3

—

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (1,050,000 tokens)
Supports multimodal inputs
Higher DeepSWE score (67.2% vs 28.0%)
Higher GPQA score (92.3% vs 90.4%)
Higher SWE-Bench Pro score (62.7% vs 57.9%)
Higher Terminal-Bench 2.1 score (84.7% vs 71.7%)
Higher Toolathlon score (53.4% vs 48.5%)
Tencent
Has open weights
Higher BrowseComp score (84.2% vs 83.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and Hy3 side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
Hy3
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Luna
Tencent
Hy3

FAQ

Common questions about GPT-5.6 Luna vs Hy3.

Which is better, GPT-5.6 Luna or Hy3?

GPT-5.6 Luna significantly outperforms across most benchmarks. GPT-5.6 Luna is made by OpenAI and Hy3 is made by Tencent. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.6 Luna compare to Hy3 in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%.

What are the context window sizes for GPT-5.6 Luna and Hy3?

GPT-5.6 Luna supports 1.1M tokens and Hy3 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-5.6 Luna and Hy3?

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

Who makes GPT-5.6 Luna and Hy3?

GPT-5.6 Luna is developed by OpenAI and Hy3 is developed by Tencent.

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