FIG 4.3

Every model, one workflow

Orchestrate OpenAI, Anthropic, Gemini, local models and more in a single flow, the right model for each task.

Don't marry a single model. Use GPT for reasoning, Claude for long-form analysis, a fast model for classification, each node picks its own provider, and you can chain them into a pipeline where every step plays to a model's strengths.

Every major provider

OpenAI, Anthropic, Gemini, Vertex, Bedrock, Groq, Mistral, managed keys or bring your own.

Local & private

Run Ollama or LM Studio models for maximum privacy and control, no data leaves your infra.

Specialized pipelines

One model extracts, another analyzes, a third synthesizes, chain them for more robust results.

Automatic fallback

Configure backup models that kick in if the primary is down or rate-limited, flows keep running.

How it works

01

Pick a model per node

Each LLM node has its own provider and model dropdown, mix freely on one canvas.

02

Chain their strengths

Route the output of one model into the next to build a specialized, multi-model pipeline.

03

Compare & choose

Run the same input through several models to compare answers and pick the best.

Build it on Hiveflow today