29 Services from api.zeroreader.com

Runs chat completions using Meta's Llama 3.2 1B model — the smallest and fastest Llama variant, optimized for low-latency, low-cost inference

Runs chat completions against Qwen 2.5 Coder 32B, a 32-billion-parameter model specialized in code generation and programming tasks.

Provides chain-of-thought reasoning via DeepSeek R1 32B for math, logic, and code tasks through an OpenAI-compatible chat completions interface

Runs inference against Meta's Llama 3.3 70B flagship open-source LLM via Cloudflare Workers AI, returning a chat completion response in OpenAI-compatible format

Converts input text to spoken audio using MeloTTS synthesis, returning a WAV audio file

Re-ranks a list of documents against a query to return relevance scores for better search result ordering.

Generates fast, lightweight English text embeddings using the BGE Small EN v1.5 model, returning dense float vectors for semantic similarity and retrieval tasks.

Generates dense vector embeddings for text using the BGE-M3 multilingual model, supporting 100+ languages

Runs chat completions using the SEA-LION 27B model, a large language model specialized in Southeast Asian languages

Runs chat completions using Alibaba's QwQ 32B reasoning-focused language model via a pay-per-call API

Generates images from text prompts in approximately 2 seconds using the FLUX.1 Schnell model, returning a PNG image.

Runs chat completions using Qwen3 30B MoE (3B active parameters) — a fast, capable mixture-of-experts LLM served via pay-per-call x402 micropayment

Runs chat completions using Meta's Llama 4 Scout 17B mixture-of-experts model via ZeroReader's API, paid per call with USDC.

Runs multimodal chat completions using Meta's Llama 3.2 11B Vision model, capable of understanding both images and text

Transcribes audio input into text using OpenAI Whisper, supporting 90+ languages.

Runs fast, ultra-cheap chat completions using IBM Granite 4.0 Micro via a pay-per-call API

Runs chat completions using Mistral 7B, a European open-source model optimized for structured output, via a pay-per-call API

Runs chat completions using Meta's Llama 3.2 3B model, offering a fast and cost-effective balance of speed and quality for straightforward text generation tasks.

Generates high-quality English text embeddings using the BGE Large EN v1.5 model, returning dense vector representations of input text or arrays of texts.

Runs chat completions using Mistral Small 3.1 24B, a strong mid-size European LLM, via a pay-per-call x402 API

Translates text between 100 languages using Meta's M2M100 1.2B model, defaulting to English-to-Japanese translation

Classifies input text as POSITIVE or NEGATIVE with a confidence score using a DistilBERT model.

Runs chat completions using Zhipu AI's GLM-4 Flash multilingual model, optimized for Japanese and other Asian languages

Generates compact vector embeddings from text using Alibaba's Qwen3 0.6B embedding model via the ZeroReader AI API

Runs fast, cost-effective chat completions using Meta's Llama 3.1 8B model via a pay-per-call x402 API

Runs chat completions using OpenAI's open-source 20B language model via a pay-per-call x402 API

Runs chat completions against OpenAI's largest open-source 120B model via a pay-per-call API

Runs chat completions using Google's Gemma 3 12B open model, served via ZeroReader's pay-per-call API with x402 micropayment support

Transcribes audio to text using OpenAI's Whisper Large v3 Turbo model, offering high accuracy and fast inference