BELLISTE / AI COMPARISON

Compare AI models

Choose two models from the same AI category to compare equivalent plans, capabilities and technical details.

CrewAI

81%

StackAI

81%

Estimated Belliste score, based on the available capabilities, quality, features and pricing information. It is an indicative profile estimate, not an independent benchmark.

How this profile estimate is calculated

Capabilities contribute 35%, quality wording 30%, listed features 20%, and pricing 15% when available. When capability fields are absent, specialization breadth supplies a 25% fallback. Missing categories are omitted and the remaining weights are rescaled. The estimate uses each model’s own published profile; it does not measure answer accuracy or replace a hands-on test.

OverviewCrewAIStackAI

PriceFree $0/month · Enterprise customFree $0/month · Enterprise custom

Free planBasic: Free with 50 workflow executions/month, visual editor, AI copilot and GitHub integrationFree: $0/month with 500 runs, 2 projects and 1 seat

Paid plansEnterprise: custom pricing with custom execution capacity, governance, enterprise connectors and flexible deploymentEnterprise: custom pricing with custom runs, projects and seats plus dedicated infrastructure, enterprise security, VPC/on-prem deployment and dedicated support

Usage limitsBasic includes 50 workflow executions/month and 2 automations. Enterprise executions and overage are sized/custom. Open-source CrewAI can be self-hosted independently of AMP.

Pricing

3 specifications

SpecificationCrewAIStackAI

Starting PriceFree $0/month · Enterprise customFree $0/month · Enterprise custom

Free PlanBasic Free: 50 workflow executions/month, 2 automations, Studio visual editor, AI copilot, GitHub integration, tracing and HITLFree $0/month: 500 runs/month, 2 projects, 1 seat and community Discord support

Usage Limits / CreditsBasic: 50 workflow executions/month and maximum 50 executions, 2 automations · Enterprise: custom executions and flexible overageFree: 500 runs/month, 2 projects and 1 seat · Enterprise: custom run capacity; model/token cost varies with provider and workflow complexity

Overview

4 specifications

SpecificationCrewAIStackAI

Primary Use CaseBuild and orchestrate collaborative multi-agent systems and production agentic workflowsEnterprise AI agents and governed workflows for regulated and complex business operations

Best ForDevelopers / AI teams / enterprises building collaborative multi-agent systems and governed agent workflowsFinance / risk / operations / IT and regulated enterprises deploying governed AI agents

DeploymentOpen-source/self-hosted, CrewAI cloud, dedicated VPC or customer-managed infrastructureStackAI cloud / multi-tenant cloud / VPC or private cloud / on-premises

Ease of UseIntermediate; visual Studio lowers entry barrier while Python APIs provide advanced controlBeginner to Intermediate; drag-and-drop no-code/low-code builder with enterprise configuration depth

Automation

13 specifications

SpecificationCrewAIStackAI

AI AgentsRole-based agents with goals, LLM selection, reasoning, memory, tools, skills and checkpointingEnterprise AI agents that analyze data, use tools and execute actions inside governed workflows

No-Code BuilderCrew Studio visual editor and AI copilot; workflows can be exported to PythonDrag-and-drop no-code/low-code workflow builder with prebuilt user interfaces

Workflow AutomationCrews for autonomous collaboration plus Flows for deterministic event-driven orchestrationAgentic workflows combine models, data, tools, logic, integrations and deployment interfaces

Multi-Agent SupportNative Crews coordinate multiple role-based agents; A2A supports collaboration/discovery across agents and crewsAgentic workflows can contain multiple agent/model components; dedicated hierarchical multi-agent orchestration is not prominently specified

Autonomous ExecutionAgents plan, delegate, use tools, recover from errors and execute long-running multi-step tasksAgents can analyze data and take actions through connected enterprise systems and deployed workflows

Human-in-the-LoopHuman-in-the-loop input and approval/intervention gates during workflow executionHuman review/approval can be inserted at critical decision points, including approval interactions in tools such as Slack

Triggers & ActionsStandard tools/triggers, Flows events, integrations, MCP tools and code-driven executionWorkflow/API invocation plus connected-system read/write operations and tool actions

IntegrationsHundreds of open-source tools plus standard integrations; Enterprise adds enterprise connectors300+ enterprise integrations plus MCP servers

Browser AutomationAgents can interact with websites through open-source browser/web tools and MCP integrationsBrowser/Chrome extension is available; web scraping and web-connected tools can be used in workflows

Data Extraction

Developer & Deployment

5 specifications

SpecificationCrewAIStackAI

Custom IntegrationsCustom tools, APIs, MCP servers, code and reusable private tool repositoriesMCP servers and API-based custom tool surfaces for systems outside the native catalog

API AccessCode-first Python framework/API plus deployed workflows can be exposed as services/MCP serversAPI access with Run Flow endpoint for invoking deployed workflows programmatically

WebhooksWebhook/event patterns can be implemented through Flows, APIs and custom tools; dedicated AMP webhook limits are not publicly specifiedIntegration catalog includes webhook-capable systems; custom event/webhook design depends on the connected workflow/system

Custom CodePython-first framework with code-first API; Studio output can be downloaded/exported as PythonPython and JavaScript logic/code modules are available in the workflow platform

Self-HostingOpen-source CrewAI can run on your infrastructure; Enterprise supports CrewAI cloud, dedicated VPC or customer infrastructureEnterprise supports on-premises deployment plus VPC/private-cloud options

AI & Knowledge

4 specifications

SpecificationCrewAIStackAI

LLM SupportModel-agnostic: supports any LLM/model provider configuration; Enterprise supports multi-LLM testing and approved-model governanceLLM-agnostic with providers/models including Anthropic Claude, OpenAI, Google Gemini, Meta, Mistral, AWS Bedrock and Azure OpenAI

Knowledge Base / RAGKnowledge sources, vector databases and retrieval tools can be attached to agents and workflowsNative Knowledge Base nodes support document indexing, retrieval and RAG workflows

MemoryProduction memory layer that remembers context, resolves contradictions and can intentionally forgetWorkflow context and knowledge retrieval are supported; persistent long-term agent memory is not prominently documented as a standalone feature

Supported AI ModelsModel-agnostic; supports configurable LLM providers/models, model swapping and multi-LLM testing rather than locking workflows to one providerLLM-agnostic: Anthropic Claude, OpenAI, Google Gemini, Meta, Mistral, AWS Bedrock, Azure OpenAI and other integrated model providers

Teams & Enterprise

4 specifications

SpecificationCrewAIStackAI

CollaborationGitHub integration, reusable private agent/tool repositories and centrally governed enterprise buildingFree: 1 seat and 2 projects · Enterprise: custom seats/projects with centralized governance and access control

Monitoring & LogsTracing, OpenTelemetry, LLM/tool/memory traces, cost accounting, evaluations and runtime monitoringBuilt-in governance and analytics with runs, users, errors, token usage, audit logs and workflow observability

Enterprise PlanCustom pricing with custom executions, flexible overage, SSO/RBAC, workload identity, PII redaction, policies, enterprise connectors and onboardingCustom runs, projects and seats with dedicated infrastructure, solution engineers, VPC/on-prem, access control, SSO and dedicated support

SSO / Enterprise SecurityEnterprise: SSO, RBAC, workload identity, PII redaction, policies and audit controls; CrewAI maintains SOC 2 Type 2 programEnterprise SSO and access control; SOC 2 Type II, GDPR, HIPAA and ISO 27001 security/compliance capabilities