Best Arize Phoenix Alternatives in 2026
The top Arize Phoenix alternatives are Arize AX, Langfuse and Opik: 15 LLM observability tools our editors would look at instead of Arize Phoenix, in our ranking order.
Arize Phoenix: A free platform for tracing, evaluating, and improving LLM applications. Where it falls short: focused on AI applications and agents rather than general observability.
Switching from Arize Phoenix? For most llm observability tools buyers the best Arize Phoenix alternative is Arize AX, built for teams wanting broad, production-ready LLM observability. On a budget, Opik starts at $19/mo.
Why People Look for an Arize Phoenix Alternative
- Focused on AI applications and agents rather than general observability
- Instrumentation coverage centers on Python, TypeScript, and Java
- Hosted Phoenix Cloud is distinct from local-first and self-hosted use
Quick Picks by What You Need
- Best overallArize AX9.4
Teams wanting broad, production-ready LLM observability
Visit Arize AX - Lowest priceOpik9.1
Paid plans from $19/mo
Visit Opik - Best free optionArize AX9.4
Has a free plan
Visit Arize AX
All 15 Arize Phoenix Alternatives, Ranked
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
-
Best forTeams wanting broad, production-ready LLM observability
- Better than Arize Phoenix:
- Editor score 9.4 vs 9.2
Broad LLM observability with tracing, evaluations, prompts, agents, RAG, and cost tracking.
- LLM evaluations
- Prompt management
- Retrieval tracing
9.4/10★★★★★Visit Arize AX -
Best forTeams seeking balanced open-source observability
- Better than Arize Phoenix:
- Editor score 9.3 vs 9.2
A broad observability platform with open-source deployment and accessible paid tiers.
- LLM evaluations
- Prompt management
- Retrieval tracing
9.3/10★★★★★Visit Langfuse -
Best forCost-conscious teams needing full-stack observability
A broad, cost-conscious stack for tracing, evaluation, prompts, monitoring, and agent debugging.
- LLM evaluations
- Prompt management
- Retrieval tracing
9.1/10★★★★★Visit Opik -
Best forGrowing teams wanting mature, broad observability
A broad observability suite for teams tracing, evaluating, and monitoring LLM applications.
- LLM evaluations
- Prompt management
- Retrieval tracing
9.0/10★★★★☆Visit W&B Weave -
Best forLangChain-centric teams needing an integrated platform
A broad LLM observability platform with especially strong LangChain ecosystem fit.
- LLM evaluations
- Prompt management
- Retrieval tracing
8.9/10★★★★☆Visit LangSmith -
Best forTeams needing affordable agent and RAG visibility
Affordable visibility for agents, RAG pipelines, evaluations, and LLM costs.
- LLM evaluations
- Prompt management
- Retrieval tracing
8.8/10★★★★☆Visit LangWatch -
Best forDevelopers focused on deep trace investigation
A broad observability platform for tracing agents, costs, failures, and evaluations.
- LLM evaluations
- Prompt management
- Retrieval tracing
8.7/10★★★★☆Visit Laminar -
Best forTeams wanting observability plus an LLM gateway
A broad LLM monitoring stack with gateway, tracing, evaluations, and self-hosting.
- LLM evaluations
- Prompt management
- Retrieval tracing
8.6/10★★★★☆Visit Helicone -
Best forOrganizations prioritizing guardrails and governance
A governance-focused observability platform for LLMs, agents, retrieval, and predictive models.
- LLM evaluations
- Prompt management
- Retrieval tracing
8.5/10★★★★☆Visit Fiddler AI -
Best forSelf-hosting teams needing broad infrastructure visibility
A broad observability stack for teams comfortable running AI infrastructure themselves.
- LLM evaluations
- Prompt management
- Retrieval tracing
8.4/10★★★★☆Visit OpenLIT -
Best forTeams wanting extensive agent-framework coverage
A broad observability and evaluation suite for teams building LLM agents.
- LLM evaluations
- Prompt management
- Retrieval tracing
8.3/10★★★★☆Visit HoneyHive -
Best forAgent teams needing replay and audit visibility
A focused observability platform for replay, debugging, cost tracking, and audit visibility.
- Retrieval tracing
- Token cost tracking
- LLM tracing
8.2/10★★★★☆Visit AgentOps -
Best forOpen-source teams focused on evaluation and monitoring
A broad open-source toolkit for evaluating, tracing, and monitoring LLM applications.
- LLM evaluations
- Prompt management
- LLM tracing
8.1/10★★★★☆Visit Evidently AI -
Best forEvaluation-led teams needing production observability
A broad evaluation and tracing platform for teams operating LLM and agent workflows.
8.0/10★★★★☆Visit Galileo -
Best forLarge teams centered on evaluation workflows
A strong evaluation-led observability platform, with higher paid-plan costs.
7.9/10★★★★☆Visit Braintrust
Arize Phoenix Alternatives: Common Questions
What is the best alternative to Arize Phoenix?
Arize AX: #1 in our LLM Observability Tools ranking, with an editor score of 9.4 out of 10. Broad LLM observability with tracing, evaluations, prompts, agents, RAG, and cost tracking.
Is there a free alternative to Arize Phoenix?
Yes. Arize AX, Langfuse, Opik, W&B Weave and LangSmith have a free plan or a free tier (15 of the 15 alternatives on this page).
What is the cheapest paid alternative to Arize Phoenix?
Of the alternatives here that publish a price, Opik starts lowest, at $19/mo.
Why do people look for Arize Phoenix alternatives?
Focused on AI applications and agents rather than general observability; Instrumentation coverage centers on Python, TypeScript, and Java; Hosted Phoenix Cloud is distinct from local-first and self-hosted use.
How do I switch from Arize Phoenix?
Export your data from Arize Phoenix (most tools have an export in their settings). Sign up for the alternative; start on its free plan or trial if it has one. Import your export and set up the integrations your team relies on. Run both side by side for a short while, then cancel Arize Phoenix.
How to Switch from Arize Phoenix
- Export your data from Arize Phoenix (most tools have an export in their settings).
- Sign up for the alternative; start on its free plan or trial if it has one.
- Import your export and set up the integrations your team relies on.
- Run both side by side for a short while, then cancel Arize Phoenix.
Arize Phoenix vs Each Alternative
| # | Tool | Free plan | Paid from | LLM tracing | LLM evaluations | Prompt management | Agent tracing | Retrieval tracing | Deployment options | Score |
|---|---|---|---|---|---|---|---|---|---|---|
| 3 | Arize Phoenix | Yes | Free | Yes | Yes | Yes | Yes | Yes | Both | 9.2 |
| 1 | Arize AX | Yes | $50/mo | Yes | Yes | Yes | Yes | Yes | Both | 9.4 |
| 2 | Langfuse | Yes | $29/mo | Yes | Yes | Yes | Yes | Yes | Both | 9.3 |
| 3 | Opik | Yes | $19/mo | Yes | Yes | Yes | Yes | Yes | Both | 9.1 |
| 4 | W&B Weave | Yes | $60/mo | Yes | Yes | Yes | Yes | Yes | Both | 9.0 |
| 5 | LangSmith | Yes | $39/seat/mo | Yes | Yes | Yes | Yes | Yes | Both | 8.9 |
| 6 | LangWatch | Yes | €29/seat/mo | Yes | Yes | Yes | Yes | Yes | Both | 8.8 |
| 7 | Laminar | Yes | $30/mo | Yes | Yes | Yes | Yes | Yes | Both | 8.7 |
| 8 | Helicone | Yes | $79/mo | Yes | Yes | Yes | Yes | Yes | Both | 8.6 |
| 9 | Fiddler AI | Yes | $0.002/unit usage-based | Yes | Yes | Yes | Yes | Yes | Both | 8.5 |
| 10 | OpenLIT | Yes | Free | Yes | Yes | Yes | Yes | Yes | Self_hosted | 8.4 |
| 11 | HoneyHive | Yes | Yes | Yes | Yes | Yes | Yes | Both | 8.3 | |
| 12 | AgentOps | Yes | $40/mo | Yes | Yes | Yes | Both | 8.2 | ||
| 13 | Evidently AI | Yes | Free | Yes | Yes | Yes | Yes | Both | 8.1 | |
| 14 | Galileo | Yes | $100/mo | Both | 8.0 | |||||
| 15 | Braintrust | Yes | $249/mo | Both | 7.9 |
Head-to-Head
- Arize Phoenix vs Arize AX
- Arize Phoenix vs Langfuse
- Arize Phoenix vs Opik
- Arize Phoenix vs W&B Weave
- Arize Phoenix vs LangSmith
- Arize Phoenix vs LangWatch
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update