tools

Arcee Orchestra

Arcee Orchestra builds AI workflows with models, integrations, code execution, knowledge retrieval, and a chat interface.

In inglese

Arcee Orchestra is a low-code/no-code platform for creating AI workflows that combine language models, external systems, code, and deterministic steps. It includes a chat interface for interacting with models and invoking workflow automations.

Teams can use it as a SaaS service or deploy it in their own environment. Workflows can use Arcee models or OpenAI API-compatible models, and can be called from external applications through an API. Access requires contacting Arcee; no Orchestra subscription tiers were listed on the pricing page reviewed.

Features

Build workflows with model, code, conditional, and knowledge-retrieval nodes
Use Arcee SLMs or bring OpenAI API-compatible models
Connect to external systems through built-in integrations
Run Python code and custom functions inside workflows
Use retrieval-augmented generation, semantic search, and document retrieval
Invoke workflows through an authenticated API
Chat with models and trigger workflow automations from one interface

Use cases

Automate customer-support ticket triage and response drafting
Generate research reports from web and business data
Connect internal documents and knowledge bases to AI workflows
Route requests between specialized models and external systems
Execute custom Python functions as part of business automations

Pros

Cons

Latest updates

2026-08-13 Introducing NAC, an Open-Source Harness for Long-Running Agent Work
An open-source harness for long-running agent work.
2026-08-13 Introducing the Arcee Open Models API Beta
Introduces the Arcee Open Models API Beta.
2026-05-29 Trinity is moving to OpenMDW-1.1 (OpenMDW-1.1)
Trinity is moving to OpenMDW-1.1.

Capabilities

Choice of models — “Model Node is used to send requests to an SLM or LLM.” source
Self-hosted — “The Solution Arcee Orchestra provides all these components in one, easy to use, low-code/no-code UI that can be consumed through SaaS or deployed fully in your environment.” source
API — “https://api.arcee.ai/api/v1/chat/completions” source
Builds agents and workflows — “Arcee Orchestra is an end-to-end agentic platform for building AI workflows.” source
Search over your data — “Knowledge Retrieval provides the capability to store and use your data within workflows.” source
Traces and evaluates — “Arcee Orchestra provides all these components in one, easy to use, low-code/no-code UI” source

Get it

Documentation

Pricing

Prices checked: 2026-09-26

deepseek/deepseek-v4-flash-latest

$0.14 per 1M Tokens (Input)
$0.28 per 1M Tokens (Output)
$0.028 per 1M Tokens (Cached Input)

zai-org/glm-5.3-flash

$0.15 per 1M Tokens (Input)
$0.50 per 1M Tokens (Output)
$0.03 per 1M Tokens (Cached Input)

trinity-large-thinking

$0.25 per 1M Tokens (Input)
$0.80 per 1M Tokens (Output)
$0.06 per 1M Tokens (Cached Input)

thinkingmachines/inkling-small

$0.50 per 1M Tokens (Input)
$1.20 per 1M Tokens (Output)
$0.10 per 1M Tokens (Cached Input)

deepseek/deepseek-v4-pro-0813

$1.32 per 1M Tokens (Input)
$3.96 per 1M Tokens (Output)
$0.044 per 1M Tokens (Cached Input)

deepseek/deepseek-v4-pro

$1.74 per 1M Tokens (Input)
$3.48 per 1M Tokens (Output)
$0.20 per 1M Tokens (Cached Input)

zai-org/glm-5.2

$1.40 per 1M Tokens (Input)
$4.40 per 1M Tokens (Output)
$0.26 per 1M Tokens (Cached Input)

zai-org/glm-5.3

$1.40 per 1M Tokens (Input)
$4.40 per 1M Tokens (Output)
$0.26 per 1M Tokens (Cached Input)

moonshotai/kimi-k3

$3.00 per 1M Tokens (Input)
$15.00 per 1M Tokens (Output)
$0.30 per 1M Tokens (Cached Input)

deepseek/deepseek-v4.1-flash

$0.22 per 1M Tokens (Input)
$0.66 per 1M Tokens (Output)
$0.007 per 1M Tokens (Cached Input)

Official website