zlm-v1-signal-extract

Text Classification · ZeroGPU

zlm-v1-signal-extract is a specialized ZeroGPU model for turning unstructured text into structured signals that downstream systems can act on.

zlm-v1-moderation-edge

Text Moderation · ZeroGPU

zlm-v1-moderation-edge is a specialized nano model fine-tuned for moderating chat conversations.

zlm-v2-iab-classify-edge-enriched

Text Classification · ZeroGPU

zlm-v2-iab-classify-edge-enriched is a multilingual content classification model built for contextual intelligence, advertising, and agent workflows.

zlm-v1-iab-domain-classifier

Text Classification · ZeroGPU

zlm-v1-iab-domain-classifier is a low-latency domain classification model built for advertising, contextual intelligence, and large-scale enrichment workflows.

zlm-v1-iab-classify-edge

Text Classification · ZeroGPU

ZeroGPU's IAB classifier maps any text to the industry-standard IAB Content Taxonomy in a single, fast inference call.

whisper-tiny

Speech-to-Text · OpenAI

Whisper Tiny is a lightweight automatic speech recognition model from OpenAI designed for fast and efficient speech-to-text transcription.

Chatterbox Nano

Text-to-Speech · Resemble AI

Chatterbox Nano is a lightweight text-to-speech model from Resemble AI designed for fast, high-quality speech generation.

GLiNER2.5 Base v1

Text Classification · Fastino

GLiNER2.5 Base is an English schema-based information extraction model built on DeBERTa-v3-base.

GLiNER2.5 Multi v1

Text Classification · Fastino

GLiNER2.5 Multi is a 287M-parameter multilingual information extraction model built on mDeBERTa-v3-base.

deberta-v3-small

Text Classification · Microsoft

deberta-v3-small is Microsoft’s lightweight text classification model optimized for fast, low-cost zero-shot classification.

all-minilm-l6-v2

Text Embedding · Sentence Transformers

all-MiniLM-L6-v2 is a lightweight sentence embedding model that converts sentences and short paragraphs into 384-dimensional dense vectors.

bge-small-en-v1.5

Text Embedding · BAAI

bge-small-en-v1.5 is a lightweight English embedding model from BAAI designed for semantic search, retrieval, similarity scoring, ranking, and RAG workflows.

GLiNER2.5 Decide v1

Text Classification · Fastino

GLiNER2.5 Decide is a lightweight, zero-shot decision and classification model built for operational AI workflows.

deepseek-v4.1-flash

Text Generation · DeepSeek

DeepSeek V4.1 Flash is an open-weight sparse mixture-of-experts model and the first built on DeepSeek's Causal Encoder-Decoder (CED) architecture, activating 8B parameters on input and 16B on output.

glm-5.3-flash

Text Generation · Z.ai

GLM-5.3-Flash is Z.ai's efficient open-weight model for coding and long-horizon agent tasks.

gpt-5.6-luna

Text Generation · OpenAI

GPT-5.6 Luna is the cost-optimized model of OpenAI's GPT-5.6 family, designed for cost-sensitive, high-volume workloads.

gpt-5.4-nano

Text Generation · OpenAI

GPT-5.4 nano is the most cost-efficient model in OpenAI's GPT-5.4 family, built for high-volume and latency-sensitive workloads such as classification, extraction, routing and sub-agent tasks.

gpt-4.1-mini

Text Generation · OpenAI

GPT-4.1 mini is OpenAI's fast, cost-efficient GPT-4.1 model.

gpt-oss-120b

Text Generation · OpenAI

gpt-oss-120b is OpenAI’s open-weight reasoning model built for advanced text generation, coding, research, and agentic workflows.

qwen3-30b-a3b-fp8

Text Generation · Qwen

qwen3-30b-a3b-fp8 is Qwen’s open-weight mixture-of-experts model designed for efficient reasoning, coding, multilingual text generation, and agentic workflows.

llama-3.1-8b-instruct-fast

Summarization · Meta

llama-3.1-8b-instruct-fast is Meta’s Llama 3.1 8B Instruct model optimized by ZeroGPU for fast, cost-efficient summarization and text processing at scale.

llama-guard-4-12b

Text Generation · Meta

Llama Guard 4 12B is Meta’s multimodal safety classification model for moderating text, images, and mixed text-image inputs.

LFM2.5-1.2B-Thinking

Text Generation · Liquid AI

LFM2.5-1.2B-Thinking is Liquid AI’s compact 1.2B-parameter reasoning model designed for multi-step problem solving, planning, data extraction, and agentic workflows.

LFM2.5-1.2B-Instruct

Text Generation · Liquid AI

LFM2.5-1.2B-Instruct is Liquid AI’s compact 1.2B-parameter instruction model built for efficient text generation, conversational AI, and lightweight agent workflows.

Qwen3.6 35B A3B

Text Generation · Qwen

Qwen3.6-35B-A3B is a fast, open-weight multimodal model for applications that need to understand text, images, and video.