Schematron V2 Turbo is $0.04 cheaper per 1M input tokens (59.5% lower; 2.47x difference).
API cost decision in 10 seconds
NewSchematron V2 Turbo vs Hy-MT2-30B-A3B
Pick Schematron V2 Turbo when budget and context both matter.
Budget verdict
Pick Schematron V2 Turbo when budget and context both matter.
On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.22 for Hy-MT2-30B-A3B, saving $0.12 (52.6% lower).
Schematron V2 Turbo is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.16. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Schematron V2 Turbo stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Schematron V2 Turbo | Hy-MT2-30B-A3B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Schematron V2 Turbo | $0.22 | $0.52 |
| Balanced workload | 1M input + 1M output | Schematron V2 Turbo | $0.18 | $0.37 |
| Output-heavy chatbot | 1M input + 5M output | Schematron V2 Turbo | $0.78 | $1.55 |
Schematron V2 Turbo is $0.14 cheaper per 1M output tokens (49.2% lower; 1.97x difference).
Schematron V2 Turbo has 119.81K more context (15.6x larger).
Schematron V2 Turbo is $0.12 cheaper on the standard workload (52.6% 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
Schematron V2 Turbo has the lower input price; Schematron V2 Turbo has the lower output price; Schematron V2 Turbo offers the larger context window. For the 1M input plus 500K output sample, Schematron V2 Turbo is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.1 for Schematron V2 Turbo and $0.22 for Hy-MT2-30B-A3B.
Choose Schematron V2 Turbo when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Hy-MT2-30B-A3B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.22 for Hy-MT2-30B-A3B, saving $0.12 (52.6% lower).
- Schematron V2 Turbo is $0.12 cheaper on the standard workload (52.6% lower).
- Schematron V2 Turbo is $0.04 cheaper per 1M input tokens (59.5% lower; 2.47x difference).
- Schematron V2 Turbo is $0.14 cheaper per 1M output tokens (49.2% lower; 1.97x difference).
- Schematron V2 Turbo has 119.81K more context (15.6x larger).
| Feature | NewSchematron V2 Turbo (Inference.net) | Hy-MT2-30B-A3B (Tencent) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.03 | $0.074 |
| Completion Price per 1M tokens | $0.15 | $0.295 |
| Sample Workload Cost 1M input + 500K output | $0.1 | $0.22 |
| Context Window | 128K | 8.19K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Schematron V2 Turbo | On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.22 for Hy-MT2-30B-A3B, saving $0.12 (52.6% lower). |
| High-volume input processing | Schematron V2 Turbo | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Schematron V2 Turbo | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Schematron V2 Turbo | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Hy3 (free) can replace Hy-MT2-30B-A3B when lower sample workload cost matters most: $0.
- Hy-MT2-1.8B can replace Hy-MT2-30B-A3B when lower sample workload cost matters most: $0.13.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.08 sample workload cost.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.08 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- Hy4 preview · Tencent · #1
- GPT-5.6 Luna · OpenAI · #2
- GLM 5.3 Flash · Z.ai · #3
- DeepSeek V4 Flash 0731 · DeepSeek · #4
Cheaper alternatives
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