Hy3 preview is $4.93 cheaper per 1M input tokens (98.7% lower; 75.8x difference).
API cost decision in 10 seconds
🔥Hy3 preview vs 🔥GPT-5.5
Pick Hy3 preview for lower cost; pick GPT-5.5 only if the larger context window matters more.
Budget verdict
Pick Hy3 preview for lower cost; pick GPT-5.5 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Hy3 preview is estimated at $0.2 vs $20 for GPT-5.5, saving $19.8 (99% lower).
GPT-5.5 has more context, but Hy3 preview saves $19.8 on the standard workload. At 10x that traffic, the same price gap is about $198.04. Use the calculator below to replace the sample workload with your own token volume.
Hy3 preview is $29.74 cheaper per 1M output tokens (99.1% lower; 115.4x difference).
GPT-5.5 has 787.86K more context (4.01x larger).
Hy3 preview is $19.8 cheaper on the standard workload (99% 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 preview has the lower input price; Hy3 preview has the lower output price; GPT-5.5 offers the larger context window. For the 1M input plus 500K output sample, Hy3 preview is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.2 for Hy3 preview and $20 for GPT-5.5.
Choose Hy3 preview when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.5 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Hy3 preview is estimated at $0.2 vs $20 for GPT-5.5, saving $19.8 (99% lower).
- Hy3 preview is $19.8 cheaper on the standard workload (99% lower).
- Hy3 preview is $4.93 cheaper per 1M input tokens (98.7% lower; 75.8x difference).
- Hy3 preview is $29.74 cheaper per 1M output tokens (99.1% lower; 115.4x difference).
- GPT-5.5 has 787.86K more context (4.01x larger).
| Feature | 🔥Hy3 preview (Tencent) | 🔥GPT-5.5 (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.066 | $5 |
| Completion Price per 1M tokens | $0.26 | $30 |
| Sample Workload Cost 1M input + 500K output | $0.2 | $20 |
| Context Window | 262.14K | 1.05M |
| Release Date | 2026-04-22 | 2026-04-24 |
| Popularity Rank current rank | #1 | #19 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Hy3 preview | On the standard 1M input plus 500K output workload, Hy3 preview is estimated at $0.2 vs $20 for GPT-5.5, saving $19.8 (99% lower). |
| High-volume input processing | Hy3 preview | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Hy3 preview | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
Cheaper alternatives
Review low-cost models ranked by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsTencent catalog
Review all tracked Tencent models before deciding whether this matchup is the right shortlist.
Open Tencent modelsOpenAI catalog
Check other OpenAI models with comparable pricing, context, or release timing.
Open OpenAI modelsHy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...