API cost decision in 10 seconds

Nemotron 3.5 Content Safety (free) vs Perceptron Mk1

Pick Nemotron 3.5 Content Safety (free) when budget and context both matter.

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

Budget verdict

Pick Nemotron 3.5 Content Safety (free) when budget and context both matter.

On the standard 1M input plus 500K output workload, Nemotron 3.5 Content Safety (free) is estimated at $0 vs $0.9 for Perceptron Mk1, saving $0.9 (100% lower).

Cost-first pickNemotron 3.5 Content Safety (free)
Context-first pickNemotron 3.5 Content Safety (free)
Sample savings$0.9100%
10x traffic gap$9

Nemotron 3.5 Content Safety (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $9. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nemotron 3.5 Content Safety (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNemotron 3.5 Content Safety (free)Perceptron Mk1
Input-heavy / RAG5M input + 500K outputNemotron 3.5 Content Safety (free)$0$1.5
Balanced workload1M input + 1M outputNemotron 3.5 Content Safety (free)$0$1.65
Output-heavy chatbot1M input + 5M outputNemotron 3.5 Content Safety (free)$0$7.65
Cheaper input Nemotron 3.5 Content Safety (free) $0 vs $0.15 / 1M

Nemotron 3.5 Content Safety (free) is free for input tokens while Perceptron Mk1 costs $0.15 per 1M tokens.

Cheaper output Nemotron 3.5 Content Safety (free) $0 vs $1.5 / 1M

Nemotron 3.5 Content Safety (free) is free for output tokens while Perceptron Mk1 costs $1.5 per 1M tokens.

Larger context Nemotron 3.5 Content Safety (free) 128K vs 32.77K

Nemotron 3.5 Content Safety (free) has 95.23K more context (3.91x larger).

Sample workload Nemotron 3.5 Content Safety (free) $0 vs $0.9

Nemotron 3.5 Content Safety (free) is free for the standard workload while the other model is estimated at $0.9.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3.5 Content Safety (free) Calculating… Estimated API cost
Perceptron Mk1 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

Nemotron 3.5 Content Safety (free) has the lower input price; Nemotron 3.5 Content Safety (free) has the lower output price; Nemotron 3.5 Content Safety (free) offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3.5 Content Safety (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 Content Safety (free) and $0.9 for Perceptron Mk1.

Best Fit

Choose Nemotron 3.5 Content Safety (free) when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Perceptron Mk1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nemotron 3.5 Content Safety (free) is estimated at $0 vs $0.9 for Perceptron Mk1, saving $0.9 (100% lower).
  • Nemotron 3.5 Content Safety (free) is free for the standard workload while the other model is estimated at $0.9.
  • Nemotron 3.5 Content Safety (free) is free for input tokens while Perceptron Mk1 costs $0.15 per 1M tokens.
  • Nemotron 3.5 Content Safety (free) is free for output tokens while Perceptron Mk1 costs $1.5 per 1M tokens.
  • Nemotron 3.5 Content Safety (free) has 95.23K more context (3.91x larger).
Head-to-Head Specs
FeatureNemotron 3.5 Content Safety (free)
(NVIDIA)
Perceptron Mk1
(Perceptron)
Input Price
prompt tokens per 1M
$0$0.15
Completion Price
per 1M tokens
$0$1.5
Sample Workload Cost
1M input + 500K output
$0$0.9
Context Window128K32.77K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron 3.5 Content Safety (free)On the standard 1M input plus 500K output workload, Nemotron 3.5 Content Safety (free) is estimated at $0 vs $0.9 for Perceptron Mk1, saving $0.9 (100% lower).
High-volume input processingNemotron 3.5 Content Safety (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNemotron 3.5 Content Safety (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workNemotron 3.5 Content Safety (free)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • No lower-cost same-provider swap is currently tracked for this pair.

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

Perceptron catalog

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

Open Perceptron models
Nemotron 3.5 Content Safety (free)

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...

Perceptron Mk1

Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...