Source: https://ailoot.ai/models/en/nvidia-nemotron-3-5-content-safety-u003a-free/ Canonical: https://ailoot.ai/models/en/nvidia-nemotron-3-5-content-safety-u003a-free/ Language: en # NVIDIA: Nemotron 3.5 Content Safety (free) [Markdown](https://ailoot.ai/models/en/nvidia-nemotron-3-5-content-safety-u003a-free/index.md) · [JSON](https://ailoot.ai/models/en/nvidia-nemotron-3-5-content-safety-u003a-free/facts.json) ## [NVIDIA: Nemotron 3.5 Content Safety (free)](https://ailoot.ai/models/en/nvidia-nemotron-3-5-content-safety-u003a-free/) Nemotron 3.5 Content Safety is NVIDIA’s 4B guardrail model for classifying prompts and model responses. This Ailoot edition reads text and returns text, including the model’s safety assessment and category labels. Use it as a focused moderation step in a larger review or application policy workflow. - [**Ailoot Ultra · Chat Completions** `POST /v1/chat/completions` `nvidia/nemotron-3.5-content-safety:free`](https://ailoot.ai/models/en/nvidia-nemotron-3-5-content-safety-u003a-free/#method-0) About the model This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below. Nemotron 3.5 Content Safety is NVIDIA’s 4B-parameter guardrail model, fine-tuned from Gemma-3-4B. Its documented role is prompt and response moderation, content classification and safety-policy workflows. NVIDIA describes outputs that assess a user prompt and response as safe or unsafe, add safety-category labels and optionally include a reasoning trace. The assessment is model output for the application to evaluate and apply. Each message has a role of system, developer, user or assistant and plain string content. An optional name is a string; keep each message to these fields. Send stream:false, or omit stream. Use the exact model ID nvidia/nemotron-3.5-content-safety:free with POST /v1/chat/completions and a nonempty messages array. Put the material to assess in text content and distinguish the user prompt from the model response when both are being reviewed. A practical moderation step can label those two passages explicitly and ask the model to identify the relevant categories while keeping its assessment tied to the supplied content. This Ailoot edition accepts text and returns text. For a review queue, prepare the actual post, support-message draft or generated answer that needs assessment, together with the surrounding context that changes its meaning. Keep application decisions such as routing a flagged item for human review in your own workflow. Media inputs, tool-calling controls and explicit cache controls are outside this edition’s request profile. The model page lists a 128,000-token context window and up to 8,192 completion tokens. Ailoot also requires the entire UTF-8 JSON request body, including instructions and field names, to fit within 128,000 bytes. For an explicit output cap, set exactly one of max\_tokens or max\_completion\_tokens to a positive integer from 1 through 8,192. If neither is supplied, Ailoot forwards a 4,096-token output cap. Account for the complete conversation and the assessment you request. The model description reports coverage of 12 languages; preserve the original wording when the evaluation depends on the source language. If your application expects particular labels, parse and validate the returned text against your chosen handling rules. A requested JSON-looking answer is not a guarantee of schema-enforced output. Use stream:false for a complete JSON conversation response. Read choices\[\].message.content, preserve every returned choice and any supplied reasoning fields, and retain finish\_reason and usage. Store the assessment with the exact prompt and response it evaluates so the decision can be reviewed later. An assessment of one text applies to that supplied text and context; evaluate a materially changed response as its own item. Prepare material that contains no confidential information, as required by this free edition’s documented usage terms. If the request ends without a complete assessment, retain the original request identifier and returned data while checking the existing attempt. This card documents a direct conversation result and supplies no separate asynchronous job or cancellation workflow. **Ailoot Ultra · Chat Completions** `POST /v1/chat/completions` `nvidia/nemotron-3.5-content-safety:free` [`nvidia/nemotron-3.5-content-safety:free`](https://ailoot.ai/models/en/#m=nvidia%2Fnemotron-3.5-content-safety%3Afree&route=Ultra&caller=nvidia%2Fnemotron-3.5-content-safety%3Afree&fmt=chat) NVIDIA /`nvidia/nemotron-3.5-content-safety:free` ### Overview Nemotron 3.5 Content Safety is NVIDIA’s 4B guardrail model for classifying prompts and model responses. This Ailoot edition reads text and returns text, including the model’s safety assessment and category labels. Use it as a focused moderation step in a larger review or application policy workflow. Accepted inputs Text Results Text ### Available in Ailoot · inputs & methods **Ailoot Ultra · Chat Completions** `POST /v1/chat/completions` Input types `text` Output types `text` Context 128,000 tokens Maximum output 8,192 tokens Output format JSON or supported SSE | Field | Type | Requirement | Values & limits | Default | | --- | --- | --- | --- | --- | | Field`model` | Type`string` | RequirementRequired | Values & limits nvidia/nemotron-3.5-content-safety:free | Default— | | Field`messages` | Type`array` | RequirementRequired | Values & limits | Default— | | Field`stream` | Type`boolean` | RequirementOptional | Values & limits false | Defaultfalse | | Field`max_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Maximum: 8,192 | Default— | | Field`max_completion_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Maximum: 8,192 | Default— | | Field`n` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Maximum: 128 | Default— | | Field`temperature` | Type`number` | RequirementOptional | Values & limits | Default— | | Field`top_p` | Type`number` | RequirementOptional | Values & limits | Default— | | Field`seed` | Type`integer` | RequirementOptional | Values & limits | Default— | | Field`stop` | Type`` | RequirementOptional | Values & limits | Default— | | Field`frequency_penalty` | Type`number` | RequirementOptional | Values & limits | Default— | | Field`presence_penalty` | Type`number` | RequirementOptional | Values & limits | Default— | | Field`user` | Type`string` | RequirementOptional | Values & limits | Default— | Method parameters and lifecycle | Parameter | Contract | | --- | --- | | Parameter`content_type` | Contractapplication/json | | Parameter`required` | Contractmodel, messages | | Parameter`optional` | Contractstream, max\_tokens, max\_completion\_tokens, n, temperature, top\_p, seed, stop, frequency\_penalty, presence\_penalty, user | | Parameter`material_types` | Contracttext | | Parameter`conditions` | ContractUse literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method., The complete encoded JSON request must not exceed 128000 bytes. | Lifecycle: `synchronous_json_or_sse` ### Pricing Tariff references do not add request options. Supported parameters are listed for the selected method. Fast mode Standard rate When fast mode is selected Flex mode Standard rate When flex mode is selected Maximum reasoning effort Standard rate When maximum reasoning effort uses the default adjustment Explicit cache pricing Not enabled When explicit cache is requested Text-only zero rates Cache, tools and media follow their separately listed pricing conditions. For text-only input and output #### Ailoot rates #### Prices by configuration | Configuration | Rate schedule | Charge | | --- | --- | --- | | ConfigurationBase token rates | Rate scheduleBase rate | Charge Input · Input tokens **$0** / 1K tokens Output · Output tokens **$0** / 1K tokens Input · Cache read **—** / 1K tokens Input · Cache write **—** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · Chat Completions curl · create once and retain the complete result ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" export AILOOT_API_KEY python3 - <<'PY_REQUEST' import json,os from pathlib import Path p=json.loads('{"model": "nvidia/nemotron-3.5-content-safety:free", "messages": [{"role": "user", "content": "Summarize the supplied text in three concise points."}], "stream": false}') Path("request.json").write_text(json.dumps(p,ensure_ascii=False)) PY_REQUEST curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \ -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o result.json # Submit once. Retain the complete result, original identifiers and every response header. ``` ### Receive and save results #### Ailoot Ultra · Chat Completions JSON or supported SSE ##### Keep all completed results Keep every complete returned response, file and content part. Retain the complete response, all actual results, original identifiers, usage and response headers. ##### If the original response needs checking Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation. ### Aliases #### Model aliases **Ailoot Ultra** [`nvidia/nemotron-3.5-content-safety:free`](https://ailoot.ai/models/en/#m=nvidia%2Fnemotron-3.5-content-safety%3Afree&route=Ultra&caller=nvidia%2Fnemotron-3.5-content-safety%3Afree&fmt=chat) #### Method path aliases Use the method paths shown above. #### Related caller IDs [`nvidia/nemotron-3.5-content-safety:free`](https://ailoot.ai/models/en/#m=nvidia%2Fnemotron-3.5-content-safety%3Afree&route=Ultra&caller=nvidia%2Fnemotron-3.5-content-safety%3Afree&fmt=chat) FAQ · NVIDIA: Nemotron 3.5 Content Safety (free) What inputs and results are available? `POST /v1/chat/completions` · `nvidia/nemotron-3.5-content-safety:free`: `text` → `text` Which fields does the request use? `POST /v1/chat/completions` · `nvidia/nemotron-3.5-content-safety:free`: `model`, `messages`, `stream`, `max_tokens`, `max_completion_tokens`, `n`, `temperature`, `top_p`, `seed`, `stop`, `frequency_penalty`, `presence_penalty`, `user` What limits apply? `POST /v1/chat/completions` · `nvidia/nemotron-3.5-content-safety:free`: `ctx`: `128000`; `max_out`: `8192`; `max_tokens.minimum`: `1`; `max_tokens.maximum`: `8192`; `max_completion_tokens.minimum`: `1`; `max_completion_tokens.maximum`: `8192`; `n.minimum`: `1`; `n.maximum`: `128` Connect Ailoot to Claude Code, OpenCode, Hermes or your own app. ## The company and its project portfolio The company and its project portfolio: millions of customers; monthly sales in the billions. ## Buy tokens at a discount. 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