API cost decision in 10 seconds
Laguna M.1 (free) vs 🔥Hy3 preview
Pick Laguna M.1 (free) for lower cost; pick Hy3 preview only if the larger context window matters more.
Budget verdict
Pick Laguna M.1 (free) for lower cost; pick Hy3 preview only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $0.2 for Hy3 preview, saving $0.2 (100% lower).
Hy3 preview has more context, but Laguna M.1 (free) saves $0.2 on the standard workload. At 10x that traffic, the same price gap is about $1.96. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Laguna M.1 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Laguna M.1 (free) | Hy3 preview |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Laguna M.1 (free) | $0 | $0.46 |
| Balanced workload | 1M input + 1M output | Laguna M.1 (free) | $0 | $0.33 |
| Output-heavy chatbot | 1M input + 5M output | Laguna M.1 (free) | $0 | $1.37 |
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
Laguna M.1 (free) has the lower input price, Laguna M.1 (free) has the lower output price, and Hy3 preview offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Laguna M.1 (free) and $0.2 for Hy3 preview.
Choose Laguna M.1 (free) when you care most about lower input-token price, and lower output-token price.
Choose Hy3 preview when you care most about larger context window.
| Feature | Laguna M.1 (free) (Poolside) | 🔥Hy3 preview (Tencent) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.07 |
| Completion Price per 1M tokens | $0 | $0.26 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.2 |
| Context Window | 131.07K | 262.14K |
| Release Date | 2026-04-28 | 2026-04-22 |
| Popularity | #2 |
Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 128K...
Hy3 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...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Laguna M.1 (free) | On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $0.2 for Hy3 preview, saving $0.2 (100% lower). |
| High-volume input processing | Laguna M.1 (free) | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Laguna M.1 (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Hy3 preview | A larger context window leaves more room for retrieved passages and source files. |