# Arize AI vs Vellum

Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Vellum records 331,901 monthly visits with -20.8% growth and Freemium, Paid pricing.

| Metric | [Arize AI](https://openaitools.app/tool/arize-com) | [Vellum](https://openaitools.app/tool/vellum) |
| :--- | :--- | :--- |
| Website URL | https://arize.com | https://www.vellum.ai |
| Categories | Large Language Models (LLMs), AI Agent, AI Monitor, AI Developer Tools | AI Developer Tools, AI Workflow, Prompt Engineering |
| Pricing Model | Paid, Contact for Pricing | Freemium, Paid |
| Monthly Visits | 249,028 | 331,901 |
| MoM Growth Rate | +3.2% | -20.8% |
| Primary Market | United States | United States |
| Direct Visits | 107,838 | 70,205 |
| Review Score | 4.6 | 4.2 |
| Saved Count | 1 | 3 |
| Supported Platforms | Website | Website |

## Arize AI

Arize is an AI engineering platform built for teams that run generative AI in production. It is split into two products: Arize AX, a managed environment for agent observability, evaluation, and experimentation, and Phoenix, an open-source tracing and evaluation library that teams can self-host when they need full data control. Both rely on OpenInference, the open-source semantic convention for generative AI tracing that the Arize team founded and that is built on OpenTelemetry.

The workflow follows three questions. Observe answers what an agent actually did by capturing every span, trace, and session; Evaluate answers whether quality is improving or regressing using span-level, trace-level, and session-level evals; Learn answers whether a proposed change will help by letting teams test prompts and harnesses before rollout. A datastore for GenAI traces (ADB) keeps data in open formats that connect to warehouses such as BigQuery, Databricks, and Snowflake, and an in-app AI engineering agent named Alyx surfaces issues and drafts review-ready fixes.

The platform integrates with dozens of models, frameworks, and tools, including OpenAI, Anthropic, Google, Amazon Bedrock, LangChain, LangGraph, LlamaIndex, CrewAI, and DSPy. Arize publishes compliance certifications including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and GDPR, and supports cloud, hybrid, and self-hosted deployment.

**Pricing & Plans:** Arize uses a paid model with a free entry point: teams can start free or book a demo, while enterprise-scale usage, deployment options, and support are quoted through a contact-sales process. The open-source Phoenix project is free to self-host.

- **End-to-end tracing:** Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
- **Scalable evaluation framework:** Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
- **Alyx AI engineering agent:** An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
- **Phoenix open-source toolkit:** Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.
- **Warehouse-native trace storage:** ADB stores traces in open formats that connect natively to BigQuery, Databricks, or Snowflake for joint analytics with business data.

**Strengths:** Covers the full loop of observe, evaluate, and improve rather than stopping at dashboards; Backed by OpenInference and OpenTelemetry standards, limiting vendor lock-in on trace formats; Strong enterprise posture with SOC 2, ISO 27001, HIPAA, and GDPR coverage plus self-hosting options; Integrates with a very wide set of models, frameworks, and agent SDKs

**Limitations:** Self-serve pricing is not published, so cost requires a sales conversation; The breadth of features can be overwhelming for small teams shipping their first LLM feature; Full value depends on disciplined instrumentation across the whole application

[Profile (Markdown)](https://openaitools.app/tool/arize-com.md)

## Vellum

Vellum is a personal AI assistant rather than a chat box. The core idea is ownership: your assistant runs locally on your own machine by default, or in a dedicated cloud container if you prefer Vellum Cloud, and it is yours to shape. You configure how it talks, what it can touch and which models it uses, choosing between OpenAI, Anthropic, Gemini or open-weight models via Ollama. The codebase is open-source, so the privacy claims can be inspected rather than merely trusted.

What separates it from a general-purpose chatbot is memory and autonomy. Vellum's custom memory system tracks you, your people, your preferences and your ongoing work across conversations, so context does not evaporate when a session ends. With built-in skills for Google Workspace, Slack, Notion and your filesystem, plus community and custom plugins, the assistant can send emails, manage calendars, browse the web, generate slides, write code, run deep research, monitor sites and repeat background tasks on a schedule. Because it acts rather than only answers, Vellum ships a fine-grained permission system: actions with real consequences require approval until you mark them trusted.

Availability is broad by design. It is native on Mac and reachable through iOS, Android, a web app, voice, email, Telegram, Slack and the terminal, with the same memory, tasks and schedules on every surface. Vellum is free to download and run locally; cloud subscriptions start at $30/month (Mighty), $100/month (Super) and $200/month (Ultra) with dedicated compute, storage and bundled credits. Note that the company has announced the Personal Assistant Platform is shutting down by December 13, 2026, so verify current availability and export options before committing.

**Pricing & Plans:** Free to download and run locally. Vellum Cloud subscriptions start at $30/month (Mighty), $100/month (Super) and $200/month (Ultra), each with dedicated compute, storage and bundled credits. Credits are consumed by actions. The site also notes the Personal Assistant Platform is shutting down by December 13, 2026, with instructions to download your assistant.

- **Long-term personal memory:** A custom-built memory system that retains you, your people, preferences and work across every conversation, rather than resetting each session.
- **Skills and tool integrations:** Connect Google Workspace, Slack, Notion, your filesystem and community plugins so the assistant can send emails, manage calendars, browse, create slides and run research.
- **Fine-grained permissions:** Set permissions so sensitive actions like emailing new contacts or modifying key files require approval until you mark them trusted.
- **Model choice:** Switch between OpenAI, Anthropic, Gemini or open-weight models via Ollama at any time, keeping you free of a single vendor lock-in.
- **Local-first privacy:** Your assistant runs locally by default with open-source code you can inspect; Vellum Cloud offers an isolated container provisioned just for you.
- **Available everywhere:** Native on Mac and available on iOS, Android, web, voice, email, Telegram, Slack and terminal, all sharing the same identity, memory and schedules.

**Strengths:** Runs locally by default with open-source code you can audit; Genuine long-term memory that persists across every conversation; Model-agnostic: OpenAI, Anthropic, Gemini or local open weights via Ollama; Takes real actions across email, calendar, files and connected tools

**Limitations:** The homepage banner states the Personal Assistant Platform is shutting down by December 13, 2026; Proprietary cloud tiers at $30–$200 per month, and credit-based actions can add cost; High-stakes actions require approval prompts until you mark them trusted, adding friction early on; Mac-first native experience, so non-Apple users depend on web and chat surfaces

[Profile (Markdown)](https://openaitools.app/tool/vellum.md)

## Frequently Asked Questions

### How do Arize AI and Vellum compare in monthly traffic?

Arize AI has 249,028 monthly visits, while Vellum has 331,901. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Arize AI has a month-over-month growth rate of +3.2%; Vellum has -20.8%.

### How does pricing compare?

Arize AI: Paid, Contact for Pricing. Arize uses a paid model with a free entry point: teams can start free or book a demo, while enterprise-scale usage, deployment options, and support are quoted through a contact-sales process. The open-source Phoenix project is free to self-host. Vellum: Freemium, Paid. Free to download and run locally. Vellum Cloud subscriptions start at $30/month (Mighty), $100/month (Super) and $200/month (Ultra), each with dedicated compute, storage and bundled credits. Credits are consumed by actions. The site also notes the Personal Assistant Platform is shutting down by December 13, 2026, with instructions to download your assistant.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Serves as a lightweight backend runtime for running local models, but requires a separate UI or client app. | [.md](https://openaitools.app/tool/ollama.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Excels at node-based workflow automation and agent orchestration, but is less focused on conversational assistant interactions. | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | Offers autonomous personal agent capabilities with persistent memory, but requires more technical setup than Vellum. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 4 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Connects local models directly to messaging apps for task automation, but lacks Vellum's polished desktop assistant interface. | [.md](https://openaitools.app/tool/clawdbot.md) |
| 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Provides visual workflow building and RAG pipelines, but is structured more as a developer platform than a personal assistant. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 6 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Provides a feature-rich self-hosted chat interface for local models, but lacks native background workflow automation. | [.md](https://openaitools.app/tool/open-webui.md) |
| 7 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Focuses heavily on local document RAG and privacy-first chat, whereas Vellum emphasizes broader assistant workflows. | [.md](https://openaitools.app/tool/anythingllm.md) |
| 8 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability. | [.md](https://openaitools.app/tool/prompts.md) |
| 9 | [Jan](https://openaitools.app/tool/jan) | 291,894 | -9.6% | Free | Provides a streamlined desktop app for running local models, but lacks advanced agent memory and workflow integrations. | [.md](https://openaitools.app/tool/jan.md) |
| 10 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Combines visual workflow builders with AI agent connectors, but lacks native local model management out of the box. | [.md](https://openaitools.app/tool/activepieces.md) |

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Source: https://openaitools.app/compare/arize-com-vs-vellum

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)