Compare DeepSeek V4 Flash from DeepSeek 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.
DeepSeek V4 Flash
Nemotron 3.5 Content Safety (free)DeepSeek V4 Flash 0423 is DeepSeek's efficiency-optimized Mixture-of-Experts text model, designed for fast inference and workflows requiring tool use, function calling, and structured outputs. It features 284B total parameters with 13B activated parameters and supports a 1M-token context window with cost-effective pricing.
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.
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.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
DeepSeek V4 Flash accepts 1,000,000 and Nemotron 3.5 Content Safety (free) accepts 131,072 input tokens.
DeepSeek V4 Flash accepts text input and supports tool calling, function calling and structured outputs; Nemotron 3.5 Content Safety (free) accepts text and image input and supports reasoning and long context.
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.
Related model match-ups readers also look at.