API cost decision in 10 seconds

GPT-5.6 Luna Pro (batch) vs Nemotron 3.5 Content Safety

Pick Nemotron 3.5 Content Safety for lower cost; pick GPT-5.6 Luna Pro (batch) only if the larger context window matters more.

Page updated: 2026-09-04T00:14:07Z Data confirmed: 2026-09-04T01:07:43Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron 3.5 Content Safety 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 Content Safety is estimated at $0.3 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.1 (25% lower).

Cost-first pickNemotron 3.5 Content Safety

Context-first pickGPT-5.6 Luna Pro (batch)

Sample savings$0.125%

10x traffic gap$1

GPT-5.6 Luna Pro (batch) has more context, but Nemotron 3.5 Content Safety saves $0.1 on the standard workload. At 10x that traffic, the same price gap is about $1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.6 Luna Pro (batch), balanced workload favors Nemotron 3.5 Content Safety, and output-heavy chatbot favors Nemotron 3.5 Content Safety.

Workload shape	Token mix	Better pick	GPT-5.6 Luna Pro (batch)	Nemotron 3.5 Content Safety
Input-heavy / RAG	5M input + 500K output	GPT-5.6 Luna Pro (batch)	$0.8	$1.1
Balanced workload	1M input + 1M output	Nemotron 3.5 Content Safety	$0.7	$0.4
Output-heavy chatbot	1M input + 5M output	Nemotron 3.5 Content Safety	$3.1	$1.2

Cheaper input GPT-5.6 Luna Pro (batch) $0.1 vs $0.2 / 1M

GPT-5.6 Luna Pro (batch) is $0.1 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output Nemotron 3.5 Content Safety $0.6 vs $0.2 / 1M

Nemotron 3.5 Content Safety is $0.4 cheaper per 1M output tokens (66.7% lower; 3x difference).

Larger context GPT-5.6 Luna Pro (batch) 1.05M vs 131.07K

GPT-5.6 Luna Pro (batch) has 918.93K more context (8.01x larger).

Sample workload Nemotron 3.5 Content Safety $0.4 vs $0.3

Nemotron 3.5 Content Safety is $0.1 cheaper on the standard workload (25% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-5.6 Luna Pro (batch) Calculating… Estimated API cost

Nemotron 3.5 Content Safety 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

GPT-5.6 Luna Pro (batch) has the lower input price; Nemotron 3.5 Content Safety 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 Content Safety is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for GPT-5.6 Luna Pro (batch) and $0.3 for Nemotron 3.5 Content Safety.

Best Fit

Choose GPT-5.6 Luna Pro (batch) when you care most about lower input-token price, and larger context window.

Choose Nemotron 3.5 Content Safety when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Nemotron 3.5 Content Safety is estimated at $0.3 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.1 (25% lower).
Nemotron 3.5 Content Safety is $0.1 cheaper on the standard workload (25% lower).
GPT-5.6 Luna Pro (batch) is $0.1 cheaper per 1M input tokens (50% lower; 2x difference).
Nemotron 3.5 Content Safety is $0.4 cheaper per 1M output tokens (66.7% lower; 3x difference).
GPT-5.6 Luna Pro (batch) has 918.93K more context (8.01x larger).

Head-to-Head Specs

Feature	GPT-5.6 Luna Pro (batch) (OpenAI)	Nemotron 3.5 Content Safety (NVIDIA)
Input Price prompt tokens per 1M	$0.1	$0.2
Completion Price per 1M tokens	$0.6	$0.2
Sample Workload Cost 1M input + 500K output	$0.4	$0.3
Context Window	1.05M	131.07K
Release Date	2026-07-09	2026-06-04

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Nemotron 3.5 Content Safety	On the standard 1M input plus 500K output workload, Nemotron 3.5 Content Safety is estimated at $0.3 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.1 (25% lower).
High-volume input processing	GPT-5.6 Luna Pro (batch)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Nemotron 3.5 Content Safety	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

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.12.

Larger context near this budget

GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
DeepSeek V4 Flash 0731 offers 1.31M context with $0.15 sample workload cost.
GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.13 sample workload cost.

Popular competitors

GLM 5.3 Flash · Z.ai · #1
GPT-5.6 Luna · OpenAI · #2
DeepSeek V4 Flash 0731 · DeepSeek · #3
Hy4 preview · Tencent · #4

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

OpenAI catalog

Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.

Open OpenAI models

NVIDIA catalog

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

Open NVIDIA models

GPT-5.6 Luna Pro (batch)

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

Nemotron 3.5 Content Safety

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...