api.ai-open-models.com · 11 listed services · provider site
OpenAI-compatible LLM inference and chat completions across seven open-weight reasoning, coding, and vision models. Choose Kimi K3, Qwen3.6, Qwen3.8, GLM-5.2, GLM-5.3, GLM-5.3-Flash, or DeepSeek V4.1 Flash. Use them to g...
Routes requests across open-weight models using task fit, tool calling, vision, JSON format, context, output capacity, provider availability, and price. Send POST application/json with model set to ai-open-models/auto an...
Fusion Model. Internal reviewers examine the conversation and available tool results, then a final model returns the next OpenAI-compatible response, including tool calls when tools are provided. Supports repeated multi-...
Run the same task against several explicitly selected open-weight models in parallel and return every answer separately. No ranking, verification, or synthesis.
Retrieve clean content from one webpage using Exa. Choose full text, query-focused highlights, or an AI-generated summary, with page metadata and retrieval status.
Converts one natural-language task into validated OpenAI-compatible JSON request bodies for multiple open-weight models. Uses the optional models list when supplied; otherwise uses all catalogue models compatible with th...
POST application/json with required non-empty query. Exa-powered search returns ranked URLs and query-relevant highlights. Optional fields are objective, num_results (default 5), category, include_domains, exclude_domain...
Conduct one live-web research task with 2-7 buyer-selected open-weight analyst models, then use a buyer-selected synthesis model to produce one structured, cited research report. Reconciles agreements, disagreements, con...
AI-generated answers powered by Exa web search. Ask a factual or open-ended question and receive a synthesized answer with source citations.
An LLM router for an open-weight inference service. It analyzes your request, selects a suitable compatible model, runs the selected model, and returns its answer in OpenAI-compatible format.
Run one live-web research task through 2–7 buyer-selected open-weight models. Every model receives the same retrieved evidence and returns a separate structured analysis with citations, latency, usage, and validation res...
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