Hy3 is $0.07 cheaper per 1M input tokens (34% lower; 1.52x difference).
API cost decision in 10 seconds
🔥Hy3 vs GPT-5.6 Luna Pro
Pick Hy3 for lower cost; pick GPT-5.6 Luna Pro only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Hy3 for lower cost; pick GPT-5.6 Luna Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Hy3 is estimated at $0.4 vs $0.8 for GPT-5.6 Luna Pro, saving $0.4 (50.5% lower).
Cost-first pickHy3
Context-first pickGPT-5.6 Luna Pro
Sample savings$0.450.5%
10x traffic gap$4.04
GPT-5.6 Luna Pro has more context, but Hy3 saves $0.4 on the standard workload. At 10x that traffic, the same price gap is about $4.04. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Hy3 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Hy3 | GPT-5.6 Luna Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Hy3 | $0.92 | $1.6 |
| Balanced workload | 1M input + 1M output | Hy3 | $0.66 | $1.4 |
| Output-heavy chatbot | 1M input + 5M output | Hy3 | $2.77 | $6.2 |
Hy3 is $0.67 cheaper per 1M output tokens (56% lower; 2.27x difference).
GPT-5.6 Luna Pro has 787.86K more context (4.01x larger).
Hy3 is $0.4 cheaper on the standard workload (50.5% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Hy3 has the lower input price; Hy3 has the lower output price; GPT-5.6 Luna Pro offers the larger context window. For the 1M input plus 500K output sample, Hy3 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for Hy3 and $0.8 for GPT-5.6 Luna Pro.
Choose Hy3 when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.6 Luna Pro when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Hy3 is estimated at $0.4 vs $0.8 for GPT-5.6 Luna Pro, saving $0.4 (50.5% lower).
- Hy3 is $0.4 cheaper on the standard workload (50.5% lower).
- Hy3 is $0.07 cheaper per 1M input tokens (34% lower; 1.52x difference).
- Hy3 is $0.67 cheaper per 1M output tokens (56% lower; 2.27x difference).
- GPT-5.6 Luna Pro has 787.86K more context (4.01x larger).
| Feature | 🔥Hy3 (Tencent) | GPT-5.6 Luna Pro (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.132 | $0.2 |
| Completion Price per 1M tokens | $0.528 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $0.4 | $0.8 |
| Context Window | 262.14K | 1.05M |
| Release Date | ||
| Popularity | #3 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Hy3 | On the standard 1M input plus 500K output workload, Hy3 is estimated at $0.4 vs $0.8 for GPT-5.6 Luna Pro, saving $0.4 (50.5% lower). |
| High-volume input processing | Hy3 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Hy3 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.6 Luna Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Hy3 (free) can replace Hy3 when lower sample workload cost matters most: $0.
- Hy-MT2-1.8B can replace Hy3 when lower sample workload cost matters most: $0.13.
- Hy-MT2-30B-A3B can replace Hy3 when lower sample workload cost matters most: $0.22.
- Hy-MT2-7B can replace Hy3 when lower sample workload cost matters most: $0.22.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Ox Alpha · stealth · #4
- DeepSeek V4 Flash 0423 · DeepSeek · #5
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Open OpenAI modelsHy3 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. It supports a configurable reasoning effort:...
GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode