AI model comparison
GPT-5.6 Luna vs Hy3
Side by side comparison of GPT-5.6 Luna and Hy3 on pricing, benchmark scores, context window, and more.
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.
- Input / 1M
- $0.20
- Output / 1M
- $1.20
- Context
- 1.05M
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use.
- Input / 1M
- $0.08
- Output / 1M
- $0.33
- Context
- 262K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Hy3
3.0x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
GPT-5.6 Luna
1.05M vs 262K tokens
Newer release
GPT-5.6 Luna
Released July 9, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-5.6 LunaNot availableCoding index
GPT-5.6 Luna71.4Agentic index
GPT-5.6 Luna42.1Pricing
GPT-5.6 Luna vs Hy3 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-5.6 Luna | |
|---|---|---|
| Input tokensPer 1M tokens | $0.20 | $0.08 |
| Output tokensPer 1M tokens | $1.20 | $0.33 |
| Cached input (read)Per 1M tokens | $0.02 | $0.02 |
| Cache writePer 1M tokens | $0.25 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $0.40 in / $1.80 out above 272K | Same rate at any length |
| Web searchPer request | $0.01 | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-5.6 Luna$1Coding task
30K in, 4K out
GPT-5.6 Luna$10.80$5.40 cachedLong document summary
150K in, 2K out
GPT-5.6 Luna$32.40$5.40 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-5.6 Luna | |
|---|---|---|
| Context window | 1.05M tokens | 262K tokens |
| Max output | 128K tokens | 128K tokens |
| Input types | File, Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, None | High, Low, None |
| Default reasoning effort | Medium | High |
| Release date | July 9, 2026 | July 6, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-5.6 Luna | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
GPT-5.6 LunaView full model details- GPT-5.6 Luna vs DeepSeek V4.1 Flash 1017
- GPT-5.6 Luna vs DeepSeek V4.1 Flash
- GPT-5.6 Luna vs GLM 5.3 Flash
- GPT-5.6 Luna vs GPT-6 Luna
- GPT-5.6 Luna vs Claude Opus 5.5
- GPT-5.6 Luna vs Step 5 Preview
- GPT-5.6 Luna vs MiniMax M3.1 Flash
- GPT-5.6 Luna vs GPT-6.1 Sol
- GPT-5.6 Luna vs DeepSeek V4 Flash 0731
- GPT-5.6 Luna vs GLM 5.3
- GPT-5.6 Luna vs Hy4
- GPT-5.6 Luna vs GPT-6.1 Terra
- GPT-5.6 Luna vs GPT-6 Luna Pro
- GPT-5.6 Luna vs DeepSeek V4 Pro 0423
- GPT-5.6 Luna vs Gemini 3.1 Flash Lite
- GPT-5.6 Luna vs MiniMax M3
- GPT-5.6 Luna vs Step 3.7 Flash
- GPT-5.6 Luna vs gpt-oss-120b
- GPT-5.6 Luna vs Gemini 2.5 Flash
- GPT-5.6 Luna vs GPT-4o-mini
- GPT-5.6 Luna vs Qwen3.6 35B A3B
- GPT-5.6 Luna vs GLM 5.3 FlashX
- GPT-5.6 Luna vs GPT-5.6 Luna Pro
- GPT-5.6 Luna vs Beam 1.0 501B A23B
- GPT-5.6 Luna vs MiMo-V2.5
- GPT-5.6 Luna vs Muse Glimmer 30B
- GPT-5.6 Luna vs MiMo-V2.5-Pro
- GPT-5.6 Luna vs Mistral Small 4
- GPT-5.6 Luna vs Inkling Small
- GPT-5.6 Luna vs Command A+
- Hy3 vs DeepSeek V4.1 Flash 1017
- Hy3 vs DeepSeek V4.1 Flash
- Hy3 vs GLM 5.3 Flash
- Hy3 vs GPT-6 Luna
- Hy3 vs Claude Opus 5.5
- Hy3 vs Step 5 Preview
- Hy3 vs MiniMax M3.1 Flash
- Hy3 vs GPT-6.1 Sol
- Hy3 vs DeepSeek V4 Flash 0731
- Hy3 vs GLM 5.3
- Hy3 vs Claude Haiku 5.5
- Hy3 vs MiMo-V2.6-Flash
- Hy3 vs Muse Spark 1.3 Contributor
- Hy3 vs Solar Mini 4
- Hy3 vs Hy4
- Hy3 vs Qwen3.8 Flash
- Hy3 vs GPT-6 Luna Pro
- Hy3 vs Gemma 4 31B
- Hy3 vs gpt-oss-120b
- Hy3 vs Gemma 4 26B A4B
- Hy3 vs Gemini 2.5 Flash Lite
- Hy3 vs DeepSeek V3.2
- Hy3 vs GPT-4o-mini
- Hy3 vs Ling 3.1 Flash
- Hy3 vs Mistral Small 4
- Hy3 vs Granite 4.2 8B
Our take
Hy3 is 3.0x cheaper for a typical chat. GPT-5.6 Luna has the larger context window (1.05M vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GPT-5.6 Luna or Hy3 cheaper?
Hy3 is cheaper for a typical chat (2K input tokens and 500 output tokens). Hy3 costs $0.08 per 1M input tokens and $0.33 per 1M output tokens, while GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens.
Which has a bigger context window, GPT-5.6 Luna or Hy3?
GPT-5.6 Luna supports up to 1.05M tokens of context, compared with 262K for Hy3.
Can I use GPT-5.6 Luna and Hy3 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-5.6 Luna and Hy3 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-5.6 Luna and Hy3 at the same time. Compare the answers side by side and keep the best one.