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LIVE RANKINGS & DATA
Loading the latest published snapshot and its supporting evidence.
Shows the leading reviewed LLM Observability brand for every public prompt and its cross-engine consistency.
Historical data is not available for this snapshot yet.
Compare one brand with up to three competitors across the exact public prompt × engine matrix behind this leaderboard.
| Brand | Presence | Vs. primary | Selected share | Mentions | Cited answers | Owned URL signals | Engine breadth |
|---|---|---|---|---|---|---|---|
| Braintrustbraintrust.dev | 50.0%18/36 | +36.1 pp | 38.3% | 32 | 12 | 13 | 3/3 |
| Langfuselangfuse.com | 38.9%14/36 | +25.0 pp | 29.8% | 31 | 5 | 7 | 3/3 |
| Arize AI / Phoenixarize.com | 27.8%10/36 | +13.9 pp | 21.3% | 10 | 5 | 14 | 3/3 |
| LangSmithlangchain.com | 13.9%5/36 | BASE | 10.6% | 8 | 3 | 3 | 3/3 |
12 prompts · 36 immutable answer hashes · empty cells mean no compared brand was detected.
| Public prompt | OpenAIopenai/gpt-4o-mini | Anthropicanthropic/claude-haiku-4-5 | Geminigoogle/gemini-2.5-flash |
|---|---|---|---|
| 01 What are the best observability platforms for a production application powered by large language models?recommendation | LangfuseBraintrust | Arize AI / PhoenixLangfuse · C1 | LangSmith · C1Arize AI / PhoenixLangfuse |
| 02 Recommend an open-source system for self-hosted language-model tracing, evaluations, and prompt analytics.recommendation | Langfuse | Langfuse · C2Braintrust | LangSmith · C1Langfuse · C1Braintrust · C1 |
| 03 Which enterprise AI observability platform offers private deployment, role-based access, SSO, audit logs, and data residency?recommendation | No selected brand | Arize AI / Phoenix · C1 | No selected brand |
| 04 What is the best platform for tracing multi-agent workflows, tool calls, handoffs, and Model Context Protocol activity?recommendation | LangfuseBraintrust | LangSmithArize AI / Phoenix · C7Braintrust | Arize AI / PhoenixLangfuse · C1Braintrust |
| 05 Recommend an observability tool for debugging retrieval quality, context relevance, groundedness, and hallucinations in RAG systems.recommendation | LangSmith · C1Arize AI / PhoenixLangfuse | Arize AI / PhoenixLangfuseBraintrust · C1 | LangSmithLangfuseBraintrust · C1 |
| 06 Which platform is best for online evaluations, production quality monitoring, failure clustering, and regression alerts?recommendation | LangfuseBraintrust · C1 | Arize AI / Phoenix · C4Braintrust | No selected brand |
| 07 Recommend a platform for versioned evaluation datasets, prompt experiments, human review, and quality gates in CI.recommendation | Braintrust · C1 | LangfuseBraintrust · C1 | Arize AI / Phoenix · C1Braintrust · C1 |
| 08 What is the best language-model gateway with request tracing, token cost, latency, caching, and provider reliability analytics?recommendation | No selected brand | Braintrust · C1 | Braintrust · C1 |
| 09 How should a team compare AI observability pricing across traces, events, retention, evaluator runs, seats, and data volume?commercial | Braintrust · C1 | Langfuse · C2Braintrust · C2 | Braintrust · C1 |
| 10 Which privacy and security criteria matter when buying AI observability, including redaction, sampling, and data retention?commercial | No selected brand | No selected brand | No selected brand |
| 11 Should a production AI team prefer OpenTelemetry-compatible instrumentation or a proprietary tracing SDK?commercial | No selected brand | No selected brand | No selected brand |
| 12 When should a team buy a language-model evaluation and observability platform instead of building one internally?commercial | No selected brand | No selected brand | Arize AI / Phoenix · C1 |
Hostnames are derived from validated public HTTP(S) URLs, not provider-supplied domain labels.
| Source hostname | Cited answers | Distinct URLs | Engine breadth | Best position | Evidence |
|---|---|---|---|---|---|
| braintrust.dev | 12 | 9 | 3 | #1 | Open source ↗ |
| reddit.com | 9 | 10 | 3 | #1 | Open source ↗ |
| confident-ai.com | 7 | 7 | 3 | #1 | Open source ↗ |
| github.com | 6 | 6 | 3 | #2 | Open source ↗ |
| arize.com | 5 | 13 | 2 | #1 | Open source ↗ |
| langfuse.com | 5 | 7 | 2 | #1 | Open source ↗ |
| getmaxim.ai | 5 | 5 | 2 | #3 | Open source ↗ |
| truefoundry.com | 5 | 4 | 3 | #1 | Open source ↗ |
| galileo.ai | 4 | 4 | 1 | #1 | Open source ↗ |
| medium.com | 4 | 4 | 2 | #1 | Open source ↗ |
| openobserve.ai | 4 | 3 | 2 | #2 | Open source ↗ |
| montecarlo.ai | 4 | 2 | 2 | #1 | Open source ↗ |
| fiddler.ai | 3 | 4 | 3 | #1 | Open source ↗ |
| youtube.com | 3 | 4 | 2 | #2 | Open source ↗ |
| dev.to | 3 | 3 | 2 | #1 | Open source ↗ |
| linkedin.com | 3 | 3 | 2 | #1 | Open source ↗ |
| portkey.ai | 3 | 3 | 2 | #1 | Open source ↗ |
| posthog.com | 3 | 3 | 1 | #1 | Open source ↗ |
| groundcover.com | 3 | 3 | 2 | #4 | Open source ↗ |
| techtarget.com | 3 | 3 | 2 | #4 | Open source ↗ |
Derives prompt-level brand leaders and cross-engine brand-set disagreement from the complete public Rank.ai benchmark cohort.
Some explanation inputs are unavailable Missing: comparablePriorRanking.
| Component | Value | Weight | Contribution | Evidence | Status |
|---|---|---|---|---|---|
| public prompt brand presence events | 8 | 0% | — | 1 | available |
| public prompt citation urls | 18 | 0% | — | 1 | available |
| public prompt distinct reviewed brands | 6 | 0% |
| — |
| 1 |
| available |
| public prompt engine disagreement | 75.555556 | 0% | — | 1 | available |
|---|
| public prompt leading brand consensus | 100 | 100% | 100 | 1 | available |
|---|
no_prior_published_snapshot
No comparable component drivers were published.
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