GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
GPT 5.6 Luna vs Nemotron 3.5 Content Safety (free)
Compare GPT 5.6 Luna from OpenAI and Nemotron 3.5 Content Safety (free) from Nvidia on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model fine-tuned from Google Gemma-3-4B. Featuring a 128,000 token context length, it is designed to moderate both inputs to and responses from LLMs and VLMs. This model provides an efficient safety layer to filter content and secure interactions across multiple modalities.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
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Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
How large is each context window?
GPT 5.6 Luna accepts 1,050,000 and Nemotron 3.5 Content Safety (free) accepts 131,072 input tokens.
What inputs and capabilities does each model support?
GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs; Nemotron 3.5 Content Safety (free) accepts text and image input and supports reasoning and long context.
Can I call GPT 5.6 Luna and Nemotron 3.5 Content Safety (free) with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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