Nemotron 3 Super is $0.01 cheaper per 1M input tokens (10% lower; 1.11x difference).
API cost decision in 10 seconds
GPT-4.1 Nano vs Nemotron 3 Super
Pick GPT-4.1 Nano 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 GPT-4.1 Nano when budget and context both matter.
On the standard 1M input plus 500K output workload, GPT-4.1 Nano is estimated at $0.3 vs $0.32 for Nemotron 3 Super, saving $0.01 (4.8% lower).
Cost-first pickGPT-4.1 Nano
Context-first pickGPT-4.1 Nano
Sample savings$0.014.8%
10x traffic gap$0.15
GPT-4.1 Nano is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.15. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Nemotron 3 Super, balanced workload favors GPT-4.1 Nano, and output-heavy chatbot favors GPT-4.1 Nano.
| Workload shape | Token mix | Better pick | GPT-4.1 Nano | Nemotron 3 Super |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3 Super | $0.7 | $0.68 |
| Balanced workload | 1M input + 1M output | GPT-4.1 Nano | $0.5 | $0.54 |
| Output-heavy chatbot | 1M input + 5M output | GPT-4.1 Nano | $2.1 | $2.34 |
GPT-4.1 Nano is $0.05 cheaper per 1M output tokens (11.1% lower; 1.12x difference).
GPT-4.1 Nano has 47.58K more context (1.05x larger).
GPT-4.1 Nano is $0.01 cheaper on the standard workload (4.8% 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; GPT-4.1 Nano has the lower output price; GPT-4.1 Nano offers the larger context window. For the 1M input plus 500K output sample, GPT-4.1 Nano is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.3 for GPT-4.1 Nano and $0.32 for Nemotron 3 Super.
Choose GPT-4.1 Nano when you care most about lower output-token price, and larger context window.
Choose Nemotron 3 Super when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, GPT-4.1 Nano is estimated at $0.3 vs $0.32 for Nemotron 3 Super, saving $0.01 (4.8% lower).
- GPT-4.1 Nano is $0.01 cheaper on the standard workload (4.8% lower).
- Nemotron 3 Super is $0.01 cheaper per 1M input tokens (10% lower; 1.11x difference).
- GPT-4.1 Nano is $0.05 cheaper per 1M output tokens (11.1% lower; 1.12x difference).
- GPT-4.1 Nano has 47.58K more context (1.05x larger).
| Feature | GPT-4.1 Nano (OpenAI) | Nemotron 3 Super (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $0.09 |
| Completion Price per 1M tokens | $0.4 | $0.45 |
| Sample Workload Cost 1M input + 500K output | $0.3 | $0.32 |
| Context Window | 1.05M | 1M |
| Release Date | ||
| Popularity | #73 | #99 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-4.1 Nano | On the standard 1M input plus 500K output workload, GPT-4.1 Nano is estimated at $0.3 vs $0.32 for Nemotron 3 Super, saving $0.01 (4.8% 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 | GPT-4.1 Nano | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-4.1 Nano | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-4.1 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.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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