Head-to-head · LLM Observability Tools
Arize AX vs W&B Weave
Arize AX leads on 1 check, W&B Weave on 0, and 7 are even. Who comes out ahead on the 8 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreArize AX · 9.4/10
- Lowest starting priceArize AX · $50/mo
- Free planboth
- Free trialonly W&B Weave
Arize AX scores higher on our rubric for llm observability tools: 9.4 against 9.0 out of 10; our editors rank them #1 and #5.
Arize AX is cheaper to start at $50/mo against $60/mo.
Arize AX is the better fit for teams wanting broad, production-ready LLM observability. W&B Weave is the better fit for growing teams wanting mature, broad observability.
- Arize AX fits best
Teams wanting broad, production-ready LLM observability
- W&B Weave fits best
Growing teams wanting mature, broad observability
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Side by side
| Feature | Arize AX 9.4/10 Visit ↗ | W&B Weave 9.0/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 9.0 |
| Ranking | #1 in LLM Observability Tools | #5 in LLM Observability Tools |
| Best for | Teams wanting broad, production-ready LLM observability | Growing teams wanting mature, broad observability |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $50/mo (best) | $60/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | 30 days |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Community, Docs | Email, Live chat, Community, Docs |
| Compliance | SOC 2, GDPR, HIPAA, SSO/SAML | SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML |
| Integrations | 18 integrations | 30+ integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Arize AX 6/6 · W&B Weave 6/6 | ||
| LLM tracing | ✓ | ✓ |
| LLM evaluations | ✓ | ✓ |
| Prompt management | ✓ | ✓ |
| Agent tracing | ✓ | ✓ |
| Retrieval tracing | ✓ | ✓ |
| Token cost tracking | ✓ | ✓ |
| Specs | ||
| Deployment options | Both | Both |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Arize AX is an AI engineering platform for teams building AI agents and applications. It captures production traces, evaluates LLM, agent, human, and code quality signals, and supports experiments comparing prompts, models, and agent… Read the review → |
W&B Weave is an observability and evaluation platform for teams building LLM applications and production agents. It records inputs, outputs, metadata, latency, token usage, costs, tool calls, and multi-step agent activity. The platform… Read the review → |
Strengths and trade-offs
Arize AX — where it wins
- Covers tracing, evaluations, prompts, agents, RAG, and cost tracking
- Supports SaaS and self-hosted deployment with Enterprise
- Connects with major LLM providers and agent frameworks
Where it doesn't
- Free plan limits usage to 10 Signal issues per month
- Enterprise pricing is custom
- Self-hosted deployment is available only on Enterprise
W&B Weave — where it wins
- Detailed tracing for LLM calls, agents, RAG steps, costs, and latency
- Evaluations, scorers, prompt versioning, and experimentation in one platform
- Web, API, and self-hosted deployment with broad framework integrations
Where it doesn't
- Weave data ingestion, storage, and some usage are billed separately
- The Free plan has community support rather than priority support
- Its broad feature set may exceed the needs of teams seeking simple tracing
- Arize AX9.4/10 · Free plan
Broad LLM observability with tracing, evaluations, prompts, agents, RAG, and cost tracking.
Visit Arize AXFull verdict → - W&B Weave9.0/10 · Free plan · 30-day trial
A broad observability suite for teams tracing, evaluating, and monitoring LLM applications.
Visit W&B WeaveFull verdict →
More comparisons
- Arize AX vs Langfuse
- Arize AX vs Arize Phoenix
- Arize AX vs Opik
- Arize AX vs LangSmith
- Arize AX vs LangWatch
- Arize AX vs Laminar
- Langfuse vs W&B Weave
- Arize Phoenix vs W&B Weave
All LLM observability tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







