Ox Alpha is free for input tokens while Schematron V2 Turbo costs $0.03 per 1M tokens.
API cost decision in 10 seconds
NewSchematron V2 Turbo vs Ox Alpha
Pick Ox Alpha when budget and context both matter.
Budget verdict
Pick Ox Alpha when budget and context both matter.
On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $0.1 for Schematron V2 Turbo, saving $0.1 (100% lower).
Ox Alpha is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.05. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ox Alpha stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Schematron V2 Turbo | Ox Alpha |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ox Alpha | $0.22 | $0 |
| Balanced workload | 1M input + 1M output | Ox Alpha | $0.18 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Ox Alpha | $0.78 | $0 |
Ox Alpha is free for output tokens while Schematron V2 Turbo costs $0.15 per 1M tokens.
Ox Alpha has 920.58K more context (8.19x larger).
Ox Alpha is free for the standard workload while the other model is estimated at $0.1.
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
Ox Alpha has the lower input price; Ox Alpha has the lower output price; Ox Alpha offers the larger context window. For the 1M input plus 500K output sample, Ox Alpha 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 for Ox Alpha.
Choose Schematron V2 Turbo when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Ox Alpha when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $0.1 for Schematron V2 Turbo, saving $0.1 (100% lower).
- Ox Alpha is free for the standard workload while the other model is estimated at $0.1.
- Ox Alpha is free for input tokens while Schematron V2 Turbo costs $0.03 per 1M tokens.
- Ox Alpha is free for output tokens while Schematron V2 Turbo costs $0.15 per 1M tokens.
- Ox Alpha has 920.58K more context (8.19x larger).
| Feature | NewSchematron V2 Turbo (Inference.net) | Ox Alpha (stealth) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.03 | $0 |
| Completion Price per 1M tokens | $0.15 | $0 |
| Sample Workload Cost 1M input + 500K output | $0.1 | $0 |
| Context Window | 128K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ox Alpha | On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $0.1 for Schematron V2 Turbo, saving $0.1 (100% lower). |
| High-volume input processing | Ox Alpha | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ox Alpha | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ox Alpha | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- No lower-cost same-provider swap is currently tracked for this pair.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.08 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.08 sample workload cost.
- Owl Alpha offers 1.05M context with $0 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
Review low-cost models sorted 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 hubsInference.net catalog
Review all tracked Inference.net models before deciding whether this matchup is the right shortlist.
Open Inference.net modelsstealth catalog
Check other stealth models with comparable pricing, context, or release timing.
Open stealth modelsSchematron 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...
Ox Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with...