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GPT-5.6 Luna vs Hy3

GPT-5.6 Luna and Hy3 are closely matched at 45.3 and 43.0 on the LLM Stats Score. Hy3 is 1.8x cheaper per token.

OpenAI · Tencent · Updated for 2026

Which is better?

GPT-5.6 Luna and Hy3 are closely matched on the overall LLM Stats Score at 45.3 and 43.0.

In the 6 individual benchmarks reported for both models, GPT-5.6 Luna wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, Hy3 is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.6 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-5.6 Luna

  • you value its reported benchmark strengths — it wins 5 of 6 exact shared results
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Hy3

  • cost matters — it's about 1.8x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
45.3
#34
43.0
#46
43.9
#38
43.0
#44
36.8
#20
33.0
#38
31.9
#30
27.0
#47
Cost, coverage & limits
Benchmark wins
5 of 6
1 of 6
Input price
$0.20 / M
$0.14 / M
Output price
$1.20 / M
$0.58 / M
Context window
1,050,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-5.6 Luna
Hy3
28.8#90
36.9#33
22.8#40
19.1#60
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for GPT-5.6 Luna · 31 for Hy3

6 shared

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.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Hy3 costs less

For input processing, GPT-5.6 Luna ($0.20/1M tokens) is 1.4x more expensive than Hy3 ($0.14/1M tokens).

For output processing, GPT-5.6 Luna ($1.20/1M tokens) is 2.1x more expensive than Hy3 ($0.58/1M tokens).

In conclusion, GPT-5.6 Luna is more expensive than Hy3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
OpenAI
GPT-5.6 Luna
Input tokens$0.20
Output tokens$1.20
Best providerOpenAI
Tencent
Hy3
Input tokens$0.14
Output tokens$0.58
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5.6 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-5.6 Luna is limited to 128,000 tokens.

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Tencent
Hy3
Input262,144 tokens
Output262,144 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

2 months ago

3d newer
Hy3

Jul 6, 2026

2 months 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

Provider Availability

GPT-5.6 Luna is available from OpenAI. Hy3 is available from DeepInfra.

GPT-5.6 Luna

openai logo
OpenAI
Input Price:Input: $0.20/1MOutput Price:Output: $1.20/1M

Hy3

deepinfra logo
Deepinfra
Input Price:Input: $0.14/1MOutput Price:Output: $0.58/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

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

FAQ

Common questions about GPT-5.6 Luna vs Hy3.

Which is better, GPT-5.6 Luna or Hy3?

GPT-5.6 Luna and Hy3 are closely matched on the LLM Stats Score at 45.3 and 43.0. GPT-5.6 Luna is made by OpenAI and Hy3 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-5.6 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%.

Is GPT-5.6 Luna cheaper than Hy3?

Hy3 is 1.4x cheaper for input tokens. GPT-5.6 Luna costs $0.20/M input and $1.20/M output via openai. Hy3 costs $0.14/M input and $0.58/M output via deepinfra.

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

GPT-5.6 Luna supports 1.1M tokens and Hy3 supports 262K 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 LLM Stats Score (45.3 vs 43.0), context window (1.1M vs 262K), input pricing ($0.20 vs $0.14/M), 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.