Nemotron 3.5 Content Safety (free) is free for input tokens while Ling-3.0-flash costs $0.02 per 1M tokens.
API cost decision in 10 seconds
Ling-3.0-flash vs Nemotron 3.5 Content Safety (free)
Pick Nemotron 3.5 Content Safety (free) for lower cost; pick Ling-3.0-flash only if the larger context window matters more.
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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 Content Safety (free) for lower cost; pick Ling-3.0-flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nemotron 3.5 Content Safety (free) is estimated at $0 vs $0.05 for Ling-3.0-flash, saving $0.05 (100% lower).
Cost-first pickNemotron 3.5 Content Safety (free)
Context-first pickLing-3.0-flash
Sample savings$0.05100%
10x traffic gap$0.53
Ling-3.0-flash has more context, but Nemotron 3.5 Content Safety (free) saves $0.05 on the standard workload. At 10x that traffic, the same price gap is about $0.53. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3.5 Content Safety (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ling-3.0-flash | Nemotron 3.5 Content Safety (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3.5 Content Safety (free) | $0.14 | $0 |
| Balanced workload | 1M input + 1M output | Nemotron 3.5 Content Safety (free) | $0.08 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3.5 Content Safety (free) | $0.34 | $0 |
Nemotron 3.5 Content Safety (free) is free for output tokens while Ling-3.0-flash costs $0.06 per 1M tokens.
Ling-3.0-flash has 134.14K more context (2.05x larger).
Nemotron 3.5 Content Safety (free) is free for the standard workload while the other model is estimated at $0.05.
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 Content Safety (free) has the lower input price; Nemotron 3.5 Content Safety (free) has the lower output price; Ling-3.0-flash 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 $0.05 for Ling-3.0-flash and $0 for Nemotron 3.5 Content Safety (free).
Choose Ling-3.0-flash when you care most about larger context window.
Choose Nemotron 3.5 Content Safety (free) when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Nemotron 3.5 Content Safety (free) is estimated at $0 vs $0.05 for Ling-3.0-flash, saving $0.05 (100% lower).
- Nemotron 3.5 Content Safety (free) is free for the standard workload while the other model is estimated at $0.05.
- Nemotron 3.5 Content Safety (free) is free for input tokens while Ling-3.0-flash costs $0.02 per 1M tokens.
- Nemotron 3.5 Content Safety (free) is free for output tokens while Ling-3.0-flash costs $0.06 per 1M tokens.
- Ling-3.0-flash has 134.14K more context (2.05x larger).
| Feature | Ling-3.0-flash (inclusionAI) | Nemotron 3.5 Content Safety (free) (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.021 | $0 |
| Completion Price per 1M tokens | $0.063 | $0 |
| Sample Workload Cost 1M input + 500K output | $0.05 | $0 |
| Context Window | 262.14K | 128K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 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 $0.05 for Ling-3.0-flash, saving $0.05 (100% lower). |
| High-volume input processing | Nemotron 3.5 Content Safety (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron 3.5 Content Safety (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ling-3.0-flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Ling 3.0 Tiny (free) can replace Ling-3.0-flash when lower sample workload cost matters most: $0.
- Ling-3.0-flash (free) can replace Ling-3.0-flash when lower sample workload cost matters most: $0.
- Ling-2.6-flash can replace Ling-3.0-flash when lower sample workload cost matters most: $0.03.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Ox Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
- Lyria 3 Pro Preview offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open largest context modelsProvider catalogs
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Open provider hubsinclusionAI catalog
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Open inclusionAI modelsNVIDIA catalog
Check other NVIDIA models with comparable pricing, context, or release timing.
Open NVIDIA models*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...
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...