An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
ModelOps
$29/mStarting price
0Popularity
About ModelOps
ModelOps provides observability and cost tracking for LLM-powered products. It offers real-time visibility into LLM costs, latency, and token usage across multiple providers and models. The tool supports OpenAI, Anthropic, and Gemini out of the box, requiring no proxy or infrastructure changes. It tracks overhead per request at less than 1 millisecond and breaks down spend by model, provider, user, or feature. Latency tracking monitors p50, p90, and p99 metrics, while token analytics help identify inefficient prompts. Model comparison features enable A/B testing of models based on cost, speed, and quality. Anomaly alerts notify teams of cost spikes, error rate increases, or latency degradation before users are affected. The SDK integrates with existing LLM clients through a one-line change, allowing teams to start tracking in under 60 seconds.
Key features
- Cost visibility by model, provider, user, or feature
- Latency tracking with p50, p90, p99 metrics
- Token analytics for prompt and completion optimization
- Model comparison and A/B testing
- Anomaly alerts for performance and cost issues
- One-line SDK integration
- Client-side privacy maintained
- Dashboard with filtering and insights
Use cases
- Monitoring and optimizing LLM costs in production environments
- Identifying inefficient prompts to improve token usage
- Comparing models to select the best fit for specific use cases
Pros
- Real-time cost, latency, and token usage tracking across multiple providers
- Minimal overhead per request (less than 1ms)
- Supports major LLM providers without infrastructure changes
- One-line SDK integration with existing clients
- Anomaly alerts for cost spikes, errors, and latency issues
Cons
- Free tier limited to 50K tracked events per month
- Growth plan requires subscription at $29/month for higher limits
- No mention of multi-language support beyond English
- Waitlist required for custom rollout plans
Frequently asked questions about ModelOps
What is ModelOps and what does it do?
ModelOps is an observability and cost tracking tool designed for LLM-powered products. It provides real-time visibility into LLM costs, latency, and token usage across multiple providers and models, helping teams monitor performance and spending without infrastructure changes.
Who should use ModelOps?
ModelOps is built for engineering and product teams managing LLM-powered applications. It suits teams looking to optimize costs, improve performance, and gain full visibility into their LLM usage across providers like OpenAI, Anthropic, and Gemini.
How does ModelOps integrate with existing LLM clients?
ModelOps integrates with existing LLM clients through a one-line change using its SDK. The tool wraps the existing client without requiring a proxy or infrastructure modifications, allowing teams to start tracking in under 60 seconds.
What metrics does ModelOps track?
ModelOps tracks LLM costs, latency (p50, p90, p99), token usage, error rates, and model performance. It breaks down spend by model, provider, user, or feature, and provides anomaly alerts for cost spikes, latency degradation, or error rate increases.
Does ModelOps support multiple LLM providers?
Yes, ModelOps supports over five major LLM providers out of the box, including OpenAI, Anthropic, and Gemini. It works with any provider without requiring additional configuration or infrastructure changes.
How can I get started with ModelOps?
To get started, install the ModelOps SDK, wrap your existing LLM client with a one-line change, and begin tracking calls. The setup takes under 60 seconds and requires no credit card or infrastructure modifications.
