API cost decision in 10 seconds

Schematron V2 Turbo vs Hy3

Pick Schematron V2 Turbo for lower cost; pick Hy3 only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Schematron V2 Turbo for lower cost; pick Hy3 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.4 for Hy3, saving $0.29 (73.5% lower).

Cost-first pickSchematron V2 Turbo
Context-first pickHy3
Sample savings$0.2973.5%
10x traffic gap$2.91

Hy3 has more context, but Schematron V2 Turbo saves $0.29 on the standard workload. At 10x that traffic, the same price gap is about $2.91. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Schematron V2 Turbo stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickSchematron V2 TurboHy3
Input-heavy / RAG5M input + 500K outputSchematron V2 Turbo$0.22$0.92
Balanced workload1M input + 1M outputSchematron V2 Turbo$0.18$0.66
Output-heavy chatbot1M input + 5M outputSchematron V2 Turbo$0.78$2.77
Cheaper input Schematron V2 Turbo $0.03 vs $0.132 / 1M

Schematron V2 Turbo is $0.1 cheaper per 1M input tokens (77.3% lower; 4.4x difference).

Cheaper output Schematron V2 Turbo $0.15 vs $0.528 / 1M

Schematron V2 Turbo is $0.38 cheaper per 1M output tokens (71.6% lower; 3.52x difference).

Larger context Hy3 128K vs 262.14K

Hy3 has 134.14K more context (2.05x larger).

Sample workload Schematron V2 Turbo $0.1 vs $0.4

Schematron V2 Turbo is $0.29 cheaper on the standard workload (73.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Schematron V2 Turbo Calculating… Estimated API cost
Hy3 Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Schematron V2 Turbo has the lower input price; Schematron V2 Turbo has the lower output price; Hy3 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 $0.4 for Hy3.

Best Fit

Choose Schematron V2 Turbo when you care most about lower input-token price, and lower output-token price.

Choose Hy3 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.4 for Hy3, saving $0.29 (73.5% lower).
  • Schematron V2 Turbo is $0.29 cheaper on the standard workload (73.5% lower).
  • Schematron V2 Turbo is $0.1 cheaper per 1M input tokens (77.3% lower; 4.4x difference).
  • Schematron V2 Turbo is $0.38 cheaper per 1M output tokens (71.6% lower; 3.52x difference).
  • Hy3 has 134.14K more context (2.05x larger).
Head-to-Head Specs
FeatureSchematron V2 Turbo
(Inference.net)
Hy3
(Tencent)
Input Price
prompt tokens per 1M
$0.03$0.132
Completion Price
per 1M tokens
$0.15$0.528
Sample Workload Cost
1M input + 500K output
$0.1$0.4
Context Window128K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionSchematron V2 TurboOn the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $0.4 for Hy3, saving $0.29 (73.5% lower).
High-volume input processingSchematron V2 TurboLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsSchematron V2 TurboLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workHy3A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • 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.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Inference.net catalog

Review all tracked Inference.net models before deciding whether this matchup is the right shortlist.

Open Inference.net models

Tencent catalog

Check other Tencent models with comparable pricing, context, or release timing.

Open Tencent models
Schematron V2 Turbo

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...

Hy3

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. It supports a configurable reasoning effort:...