Nemotron 3.5 Super VL (free) is free for input tokens while Schematron V2 Small costs $0.05 per 1M tokens.
API cost decision in 10 seconds
NewNemotron 3.5 Super VL (free) vs Schematron V2 Small
Pick Nemotron 3.5 Super VL (free) when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Nemotron 3.5 Super VL (free) when budget and context both matter.
On the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL (free) is estimated at $0 vs $0.17 for Schematron V2 Small, saving $0.17 (100% lower).
Cost-first pickNemotron 3.5 Super VL (free)
Context-first pickNemotron 3.5 Super VL (free)
Sample savings$0.17100%
10x traffic gap$1.65
Nemotron 3.5 Super VL (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.65. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3.5 Super VL (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Nemotron 3.5 Super VL (free) | Schematron V2 Small |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3.5 Super VL (free) | $0 | $0.36 |
| Balanced workload | 1M input + 1M output | Nemotron 3.5 Super VL (free) | $0 | $0.28 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3.5 Super VL (free) | $0 | $1.2 |
Nemotron 3.5 Super VL (free) is free for output tokens while Schematron V2 Small costs $0.23 per 1M tokens.
Nemotron 3.5 Super VL (free) has 872K more context (7.81x larger).
Nemotron 3.5 Super VL (free) is free for the standard workload while the other model is estimated at $0.17.
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
Nemotron 3.5 Super VL (free) has the lower input price; Nemotron 3.5 Super VL (free) has the lower output price; Nemotron 3.5 Super VL (free) offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3.5 Super VL (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron 3.5 Super VL (free) and $0.17 for Schematron V2 Small.
Choose Nemotron 3.5 Super VL (free) when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Schematron V2 Small 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, Nemotron 3.5 Super VL (free) is estimated at $0 vs $0.17 for Schematron V2 Small, saving $0.17 (100% lower).
- Nemotron 3.5 Super VL (free) is free for the standard workload while the other model is estimated at $0.17.
- Nemotron 3.5 Super VL (free) is free for input tokens while Schematron V2 Small costs $0.05 per 1M tokens.
- Nemotron 3.5 Super VL (free) is free for output tokens while Schematron V2 Small costs $0.23 per 1M tokens.
- Nemotron 3.5 Super VL (free) has 872K more context (7.81x larger).
| Feature | NewNemotron 3.5 Super VL (free) (NVIDIA) | Schematron V2 Small (Inference.net) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.05 |
| Completion Price per 1M tokens | $0 | $0.23 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.17 |
| Context Window | 1M | 128K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3.5 Super VL (free) | On the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL (free) is estimated at $0 vs $0.17 for Schematron V2 Small, saving $0.17 (100% lower). |
| High-volume input processing | Nemotron 3.5 Super VL (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron 3.5 Super VL (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Nemotron 3.5 Super VL (free) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Schematron V2 Turbo can replace Schematron V2 Small when lower sample workload cost matters most: $0.1.
- GPT-6 Luna Pro (batch) offers 1.05M context with $0.17 sample workload cost.
- GPT-6 Luna (batch) offers 1.05M context with $0.17 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Muse Spark 1.3 Contributor offers 1.05M context with $0.2 sample workload cost.
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Cheaper alternatives
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Open Inference.net modelsNVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...