huihui-ai's abliterated Qwen3.8-Flash-Next: the 125B-total, 6B-active MoE with its refusal direction removed, keeping the base model's reasoning (low/medium/xhigh effort) and tool calling. Served by Experiential Cloud on dedicated GPUs. Text only; 262,144-token context, up to 65,536 output tokens.
Context
262K
Max output
66K
Price per million tokens
$0.15in$0.016cached$0.47out
Fastest
60.2 tok/s
Released
-
Waterfall
Quickstart
I want you to route my LLM calls for "qwen3.8-flash-next-uncensored" through the Experiential gateway instead of calling the provider directly. It speaks the OpenAI Chat Completions API, so this is a base-URL and key swap. Please: 1. Point the client at https://api.experientiallabs.ai/v1 as the base URL. 2. Authenticate with my Experiential API key from the EXPLABS_API_KEY environment variable. If it isn't set, stop and tell me to create one under Settings -> API Keys and export it. 3. Use the model id "qwen3.8-flash-next-uncensored" exactly. 4. Update every place my code builds an LLM client for this model to use that base URL and key, leaving streaming and tool-calls as they are. 5. Make one test call and show me the reply plus the token usage, so we confirm it runs on my Experiential credits. Tell me which files you changed.
Sampling
Tools & structure
Reasoning
Streaming
Limits
Sending an unsupported field? See error reference