LLM engineering platform that routes calls through one gateway to 500+ models and adds tracing, evaluations and spend monitoring.
Best AI LLM Ops & Observability Tools of 2026
All 67 LLM Ops & Observability tools that are actually alive — cross-checked against multiple directories, liveness-verified, and ranked by real traffic. Dead links and clones removed. Verified means we checked — not that someone paid.
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1 subcategoriesLLM Ops & Observability splits into more focused areas — jump straight to the one you need.
The ranked list
Showing 24 of 67 live tools · ranked by real traffic
AI observability platform for monitoring machine learning models and ensuring AI application security.
GDPR-compliant generative-AI workspace that masks sensitive data and lets regulated firms use top LLMs under IT control.
AI model comparison platform for testing prompts and analyzing AI responses.
Done-for-you service that trains, fine-tunes, and hosts a private LLM on a company's own data.
Enterprise AI governance platform for regulated industries to manage model risk, bias and compliance across the model lifecycle.
OpenAI API cost-tracking dashboard, now non-functional after OpenAI removed the usage endpoints it relied on.
API that counts tokens and estimates OpenAI prompt costs before you send requests, with a free tier.
ML anomaly-detection and monitoring platform for critical infrastructure that cuts false alerts.
AI token calculator and cost estimator for LLMs.
Enterprise AI gateway unifying multiple LLM providers with observability, security controls, and cost-tracking for production AI apps.
A platform for evaluating and optimizing generative AI applications.
AI governance layer that monitors agents and workflows to prevent breakdowns and keep enterprise systems aligned.
Usage-based infrastructure that meters and attributes every AI request by owner, cost and policy, with optional model routing.
Mood Metrics API is a real-time sentiment analysis service with positive/negative/neutral classification, confidence scores, and primary emotion breakdown.
API that compresses LLM prompts to cut input token costs by roughly 30-40% while preserving output quality.
Proxy that sits between your code and LLMs, restructuring context to cut tokens and cost while preserving results.
Platform to evaluate and test LLM-powered applications for faster and reliable product releases.
VisibilityRadar scores brand visibility across 6 AI models and recommends strategies customized to each model's training data sources.
Stigg describes itself as a usage runtime for AI products, but the provided website excerpt contains only cookie consent and analytics tracking details with no substantive product information.
Counts tokens and estimates costs for AI model usage.
ProofWrite AI rewrites AI-generated text to sound more natural and verifies quality against common AI detectors like ZeroGPT and Winston AI.
Open-source tool to track and analyze OpenAI API usage and costs.
Enterprise GenAI platform focused on anti-hallucination analytics over structured data, with built-in LLMOps.
LLM Ops & Observability tools compared
| Tool | Best for | Free tier | Price | Monthly visits |
|---|---|---|---|---|
| Respan | LLM engineering platform that routes calls through one gateway to 500+ models and adds tracing, evaluations and spend monitoring. | Yes | $199/mo | 5.2K |
| WhyLabs AI Observatory | AI observability platform for monitoring machine learning models and ensuring AI application security. | — | $125/mo | 4.9K |
| Omnifact | GDPR-compliant generative-AI workspace that masks sensitive data and lets regulated firms use top LLMs under IT control. | Trial | Free trial | 4.7K |
| thisorthis.ai | AI model comparison platform for testing prompts and analyzing AI responses. | — | Paid | 4.7K |
| Modly | Done-for-you service that trains, fine-tunes, and hosts a private LLM on a company's own data. | — | $5/mo | 4.1K |