zerogpu

zerogpu/zerogpu-router

Chat reply via ZeroGPU's default model, gpt-oss-120b (120B MoE, 131K context). Use when the user wants an answer from a ZeroGPU mo...

zerogpu/zerogpu-router

Multi-axis classification using a JSON schema mapping categories to allowed labels (gliner2.5-base-v1). Use when the user wants to...

Custom-label named-entity recognition (gliner2-base-v1). Use when the user wants to extract entities with their own labels — peopl...

zerogpu/zerogpu-router

zerogpu/zerogpu-router

zerogpu/zerogpu-router

zerogpu/zerogpu-router

Chat with ZeroGPU's Thinking variant (LFM2.5-1.2B-Thinking), which returns visible reasoning alongside the answer. Use when the us...

zerogpu/zerogpu-router

zerogpu/zerogpu-router

zerogpu/zerogpu-router

zerogpu/zerogpu-router

zerogpu/zerogpu-router

zerogpu/zerogpu-router

zerogpu/zerogpu-router

zerogpu/zerogpu-router

zerogpu/zerogpu-router

Schema-driven structured JSON extraction (gliner2.5-base-v1). Use when the user wants to pull specific named fields out of free te...

Screen text for unsafe, harmful, or policy-sensitive content and return a safety verdict across OpenAI's 13 moderation categories....

zerogpu/zerogpu-router

Chat with deepseek-v4.1-flash, a sparse MoE model on DeepSeek's Causal Encoder-Decoder architecture (8B active on input, 16B on ou...

Chat with glm-5.3-flash, Z.ai's efficient open-weight model for coding and long-horizon agent tasks, whose hybrid sparse and linea...

Chat with gpt-4.1-mini, OpenAI's fast, cost-efficient GPT-4.1 model, strong at instruction following and tool calling across a 1M-...

Chat with gpt-5.4-nano, the most cost-efficient model in OpenAI's GPT-5.4 family, built for high-volume and latency-sensitive work...

Chat with gpt-5.6-luna, the cost-optimized model of OpenAI's GPT-5.6 family, with a 272K-token context window, adjustable reasonin...

Turn free text into structured signals — topics, keywords, intent, and other contextual attributes — in a single call (zlm-v1-sign...