Nemotron 3.5 Lightning is $0.02 cheaper per 1M input tokens (20% lower; 1.25x difference).
API cost decision in 10 seconds
NewNemotron 3.5 Lightning vs GPT-5.6 Luna Pro (batch)
Pick Nemotron 3.5 Lightning for lower cost; pick GPT-5.6 Luna Pro (batch) 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 Lightning for lower cost; pick GPT-5.6 Luna Pro (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nemotron 3.5 Lightning is estimated at $0.18 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.22 (55% lower).
Cost-first pickNemotron 3.5 Lightning
Context-first pickGPT-5.6 Luna Pro (batch)
Sample savings$0.2255%
10x traffic gap$2.2
GPT-5.6 Luna Pro (batch) has more context, but Nemotron 3.5 Lightning saves $0.22 on the standard workload. At 10x that traffic, the same price gap is about $2.2. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3.5 Lightning stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Nemotron 3.5 Lightning | GPT-5.6 Luna Pro (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3.5 Lightning | $0.5 | $0.8 |
| Balanced workload | 1M input + 1M output | Nemotron 3.5 Lightning | $0.28 | $0.7 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3.5 Lightning | $1.08 | $3.1 |
Nemotron 3.5 Lightning is $0.4 cheaper per 1M output tokens (66.7% lower; 3x difference).
GPT-5.6 Luna Pro (batch) has 787.86K more context (4.01x larger).
Nemotron 3.5 Lightning is $0.22 cheaper on the standard workload (55% 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 3.5 Lightning has the lower input price; Nemotron 3.5 Lightning has the lower output price; GPT-5.6 Luna Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3.5 Lightning is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.18 for Nemotron 3.5 Lightning and $0.4 for GPT-5.6 Luna Pro (batch).
Choose Nemotron 3.5 Lightning when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.6 Luna Pro (batch) when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Nemotron 3.5 Lightning is estimated at $0.18 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.22 (55% lower).
- Nemotron 3.5 Lightning is $0.22 cheaper on the standard workload (55% lower).
- Nemotron 3.5 Lightning is $0.02 cheaper per 1M input tokens (20% lower; 1.25x difference).
- Nemotron 3.5 Lightning is $0.4 cheaper per 1M output tokens (66.7% lower; 3x difference).
- GPT-5.6 Luna Pro (batch) has 787.86K more context (4.01x larger).
| Feature | NewNemotron 3.5 Lightning (NVIDIA) | GPT-5.6 Luna Pro (batch) (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.08 | $0.1 |
| Completion Price per 1M tokens | $0.2 | $0.6 |
| Sample Workload Cost 1M input + 500K output | $0.18 | $0.4 |
| Context Window | 262.14K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3.5 Lightning | On the standard 1M input plus 500K output workload, Nemotron 3.5 Lightning is estimated at $0.18 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.22 (55% lower). |
| High-volume input processing | Nemotron 3.5 Lightning | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron 3.5 Lightning | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.6 Luna Pro (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Nemotron 3 Ultra (free) can replace Nemotron 3.5 Lightning when lower sample workload cost matters most: $0.
- Nemotron 3.5 Lightning (free) can replace Nemotron 3.5 Lightning when lower sample workload cost matters most: $0.
- Nemotron 3.5 Content Safety (free) can replace Nemotron 3.5 Lightning when lower sample workload cost matters most: $0.
- Nemotron 3 Nano Omni (free) can replace Nemotron 3.5 Lightning when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
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Open OpenAI modelsNVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...
GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode