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Nemotron 3.5 Content Safety (free) vs Qwen3.8 Max

Compare Nemotron 3.5 Content Safety (free) from Nvidia and Qwen3.8 Max from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

NvidiaNemotron 3.5 Content Safety (free)QwenQwen3.8 Max
Nvidia logo
Nemotron 3.5 Content Safety (free)
Nvidia · text, image → text

Developed by NVIDIA, Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model fine-tuned from Google Gemma-3-4B. Supporting an expansive context length of 128,000 tokens, this model moderates both user inputs and generated responses for LLMs and VLMs. It provides robust safety filtering to ensure aligned and secure interactions across multiple modalities.

Input$0 /M
Output$0 /M
Qwen logo
Qwen3.8 Max
Qwen · text, image, video → text

Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.

Input$1.69 /M
Output$5.07 /M
Cache read$0.169 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Nemotron 3.5 Content Safety (free)
Qwen3.8 Max
Input /M
$0
$1.69
Output /M
$0
$5.07
Cache read /M
-
$0.169
Context length
131,072
1,000,000
Max output
0
131,072
Time to First Token
-
12.5 s
Throughput
-
28.4 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
reasoninglong context
toolsfunction callingstructured outputsweblong contextthinking
API Formats
chat_completions
Released
June 4, 2026
August 3, 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

nemotron-3.5-content-safety-freeqwen3.8-max

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

nemotron-3.5-content-safety-freeqwen3.8-max

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

Estimate your monthly bill for the same workload on each model.

Nemotron 3.5 Content Safety (free)
$0.00 /mo
Qwen3.8 Max
$177 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

How large is each context window?

Nemotron 3.5 Content Safety (free) accepts 131,072 and Qwen3.8 Max accepts 1,000,000 input tokens.

What inputs and capabilities does each model support?

Nemotron 3.5 Content Safety (free) accepts text and image input and supports reasoning and long context; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call Nemotron 3.5 Content Safety (free) and Qwen3.8 Max 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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