Nemotron 3 Super is $0.11 cheaper per 1M input tokens (55% lower; 2.22x difference).
API cost decision in 10 seconds
GPT-5.4 Nano vs Nemotron 3 Super
Pick Nemotron 3 Super when budget and context both matter.
Budget verdict
Pick Nemotron 3 Super when budget and context both matter.
On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.82 for GPT-5.4 Nano, saving $0.51 (61.8% lower).
Nemotron 3 Super is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $5.1. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3 Super stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.4 Nano | Nemotron 3 Super |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3 Super | $1.62 | $0.68 |
| Balanced workload | 1M input + 1M output | Nemotron 3 Super | $1.45 | $0.54 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3 Super | $6.45 | $2.34 |
Nemotron 3 Super is $0.8 cheaper per 1M output tokens (64% lower; 2.78x difference).
Nemotron 3 Super has 600K more context (2.5x larger).
Nemotron 3 Super is $0.51 cheaper on the standard workload (61.8% lower).
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 Super has the lower input price; Nemotron 3 Super has the lower output price; Nemotron 3 Super offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Super is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.82 for GPT-5.4 Nano and $0.32 for Nemotron 3 Super.
Choose GPT-5.4 Nano when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Nemotron 3 Super 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, Nemotron 3 Super is estimated at $0.32 vs $0.82 for GPT-5.4 Nano, saving $0.51 (61.8% lower).
- Nemotron 3 Super is $0.51 cheaper on the standard workload (61.8% lower).
- Nemotron 3 Super is $0.11 cheaper per 1M input tokens (55% lower; 2.22x difference).
- Nemotron 3 Super is $0.8 cheaper per 1M output tokens (64% lower; 2.78x difference).
- Nemotron 3 Super has 600K more context (2.5x larger).
| Feature | GPT-5.4 Nano (OpenAI) | Nemotron 3 Super (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.2 | $0.09 |
| Completion Price per 1M tokens | $1.25 | $0.45 |
| Sample Workload Cost 1M input + 500K output | $0.82 | $0.32 |
| Context Window | 400K | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3 Super | On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.82 for GPT-5.4 Nano, saving $0.51 (61.8% lower). |
| High-volume input processing | Nemotron 3 Super | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron 3 Super | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Nemotron 3 Super | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- No popular competitor is currently available.
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 OpenAI modelsNVIDIA catalog
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