API cost decision in 10 seconds

NewNemotron 3.5 Super VL vs NewExtract

Pick Extract for lower cost; pick Nemotron 3.5 Super VL 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 Extract for lower cost; pick Nemotron 3.5 Super VL only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.4 for Nemotron 3.5 Super VL, saving $0.36 (90% lower).

Cost-first pickExtract
Context-first pickNemotron 3.5 Super VL
Sample savings$0.3690%
10x traffic gap$3.6

Nemotron 3.5 Super VL has more context, but Extract saves $0.36 on the standard workload. At 10x that traffic, the same price gap is about $3.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Extract stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNemotron 3.5 Super VLExtract
Input-heavy / RAG5M input + 500K outputExtract$1$0.2
Balanced workload1M input + 1M outputExtract$0.65$0.04
Output-heavy chatbot1M input + 5M outputExtract$2.65$0.04
Cheaper input Extract $0.15 vs $0.04 / 1M

Extract is $0.11 cheaper per 1M input tokens (73.3% lower; 3.75x difference).

Cheaper output Extract $0.5 vs $0 / 1M

Extract is free for output tokens while Nemotron 3.5 Super VL costs $0.5 per 1M tokens.

Larger context Nemotron 3.5 Super VL 1.05M vs 1M

Nemotron 3.5 Super VL has 48.58K more context (1.05x larger).

Sample workload Extract $0.4 vs $0.04

Extract is $0.36 cheaper on the standard workload (90% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3.5 Super VL Calculating… Estimated API cost
Extract 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

Extract has the lower input price; Extract has the lower output price; Nemotron 3.5 Super VL offers the larger context window. For the 1M input plus 500K output sample, Extract is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for Nemotron 3.5 Super VL and $0.04 for Extract.

Best Fit

Choose Nemotron 3.5 Super VL when you care most about larger context window.

Choose Extract when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.4 for Nemotron 3.5 Super VL, saving $0.36 (90% lower).
  • Extract is $0.36 cheaper on the standard workload (90% lower).
  • Extract is $0.11 cheaper per 1M input tokens (73.3% lower; 3.75x difference).
  • Extract is free for output tokens while Nemotron 3.5 Super VL costs $0.5 per 1M tokens.
  • Nemotron 3.5 Super VL has 48.58K more context (1.05x larger).
Head-to-Head Specs
FeatureNewNemotron 3.5 Super VL
(NVIDIA)
NewExtract
(ScaleDown)
Input Price
prompt tokens per 1M
$0.15$0.04
Completion Price
per 1M tokens
$0.5$0
Sample Workload Cost
1M input + 500K output
$0.4$0.04
Context Window1.05M1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionExtractOn the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.4 for Nemotron 3.5 Super VL, saving $0.36 (90% lower).
High-volume input processingExtractLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsExtractLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workNemotron 3.5 Super VLA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
  • MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
  • GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
  • GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.

Cheaper alternatives

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

Open cheapest models

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

NVIDIA catalog

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

Open NVIDIA models

ScaleDown catalog

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

Open ScaleDown models
Nemotron 3.5 Super VL

NVIDIA 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...

Extract

Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through `provider.options.scaledown.entities`, and the...