GPT-6 Luna vs Hy3
GPT-6 Luna and Hy3 are closely matched at 44.5 and 42.9 on the LLM Stats Score. GPT-6 Luna is 1.3x cheaper per token.
OpenAI · Tencent · Updated for 2026
Which is better?
GPT-6 Luna and Hy3 are closely matched on the overall LLM Stats Score at 44.5 and 42.9.
On price, GPT-6 Luna is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Luna
- your work emphasizes agents — it leads those capability indexes
- cost matters — it's about 1.3x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Hy3
- 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
5 reported for GPT-6 Luna · 31 for Hy3
GPT-6 Luna and Hy3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Luna ($0.10/1M tokens) is 1.4x cheaper than Hy3 ($0.14/1M tokens).
For output processing, GPT-6 Luna ($0.50/1M tokens) is 1.2x cheaper than Hy3 ($0.58/1M tokens).
In conclusion, Hy3 is more expensive than GPT-6 Luna.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to Hy3's 262,144 tokens. Hy3 can generate longer responses up to 262,144 tokens, while GPT-6 Luna is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Luna supports multimodal inputs, whereas Hy3 does not.
GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Luna
Hy3
License
Usage and distribution terms
GPT-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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-6 Luna was released on 2026-09-22, while Hy3 was released on 2026-07-06.
GPT-6 Luna is 3 months newer than Hy3.
Sep 22, 2026
0 days ago
2mo newerJul 6, 2026
2 months ago
Knowledge Cutoff
When training data ends
GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Hy3's cutoff date is not specified.
We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without Hy3's cutoff date.
May 2026
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Provider Availability
GPT-6 Luna is available from OpenAI. Hy3 is available from DeepInfra.
GPT-6 Luna
Hy3
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Luna and Hy3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Luna vs Hy3.