Open-weight models / Chat & API
Uncensored AI API.
Choose the model.
Use GLM-5.3 Raw through an OpenAI-compatible API, or explore Antislop for writing and conversation. Start in chat, compare answers on your own tasks, and connect the model that fits your workflow.
Models and API pricing
Chat models are billed by token against a prepaid balance. Input and output have separate rates. The table uses the same live registry as the model catalogue; open a model for its output limit and access details.
| Model | Input / 1M | Output / 1M | Context | Tools | Access |
|---|---|---|---|---|---|
| GLM-5.3 Raw | $2.50 | $7.00 | 1M | Yes | Available |
| Qwen3.8 27B Antislop | $0.60 | $5.00 | 262.1K | Yes | Available |
A long conversation sends its history as input on each turn. Your context length, generated output and repeated attempts all affect cost. Check the model's current price and set an output budget before running a larger workload.
Connect an existing API client
Sign in, create a key in API key settings and fund your balance when needed. Set your client's base URL to https://www.rawmodels.ai/v1, supply the key, and use the model ID from the catalogue. The chat completions endpoint supports streamed responses.
curl https://www.rawmodels.ai/v1/chat/completions \
-H "Authorization: Bearer $RAWMODELS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5.3-raw",
"messages": [{"role": "user", "content": "Write a short opening scene for a mystery story."}],
"stream": true,
"max_tokens": 512
}'Use your own interface
Writing and roleplay
Keep your character cards, story and settings in a compatible frontend. Our SillyTavern setup guide covers the base URL, model selection, a first test and common connection errors. For the writing fine-tune, read the Antislop training and release notes.
Apps and coding tools
Use the API directly from your application. For a tool-using workflow, choose a model whose catalogue entry lists tool calling. The Claude Code guide explains model mapping and configuration; the API reference describes supported parameters.
Before you choose a model
- What does “uncensored LLM” mean here?
- The term describes models offered for more direct responses and fewer blanket refusals. Behavior depends on the checkpoint and the request; it is not a guarantee that every prompt will be answered. Antislop's writing focus is a separate characteristic. The service's acceptable-use terms still apply.
- Can I try the models without writing code?
- Yes. Open an available chat model from the catalogue and use the web chat after signing in. Chat and API usage draw from the same account balance.
- Are these the same models as OpenAI's?
- No. OpenAI-compatible describes the API format. The selected RawModels model generates the answer. Its training, capabilities and limitations differ from other models.
- Does “uncensored” mean private or zero retention?
- No. Model behavior and data handling are separate. Review the current data-storage terms before sending content.
- Can OpenJev be used as a chat model?
- OpenJev returns typed decisions rather than generated chat. Use the separate Decisions API for choices, yes/no answers and scores over text and images.