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Glama in brief
An LLM API aggregator with monitoring and cost management, useful for teams that want to centralize their multi-model access with observability.
- PriceUsage-based API
- CategoryMCP and infra
- RecommendedWith caveats
The essentials
- API gateway that centralizes access to multiple LLMs (OpenAI, Anthropic, Gemini, etc.)
- OpenAI-compatible API for easy migration
- Cost and usage monitoring dashboard per model
- Integrated MCP (Model Context Protocol servers) directory
What is Glama?
Glama is an LLM gateway that lets you access many models through a single OpenAI-compatible API. The main argument: centralize the costs, usage and logs of all your LLM calls in one dashboard rather than separately managing OpenAI, Anthropic and Google dashboards. Glama also offers a directory of MCP (Model Context Protocol) servers that simplifies discovery and integration of tools for AI agents. Positioned close to OpenRouter but with more emphasis on observability and agent tooling.
Strengths
Centralized observability
One place to see all LLM calls, costs, latencies and errors across your entire AI infrastructure. Useful when you're running multiple models in production.
Integrated MCP directory
Glama maintains a catalog of verified MCP servers. For developers building agents with the MCP protocol, it's a useful discovery resource.
OpenAI-compatible
Like OpenRouter, migration is simple: change the base URL, keep your existing code.
Limits
Less established than OpenRouter
OpenRouter is more well-known, has more models available, and a larger community. Glama is a younger competitor.
Additional intermediary layer
Any gateway adds latency and a potential failure point. For critical applications, evaluate whether centralization is worth that cost.
Pricing
Usage-based API with token markup. Check glama.ai for current rates.
Alternatives
Glama = multi-model LLM gateway. Alternative OpenRouter (openrouter.ai) = more models, larger community, similar positioning. Alternative LiteLLM (litellm.ai) = open source, self-hostable, same use case.
Verdict
Glama is interesting if you're looking for an LLM gateway with an observability focus and integrated MCP directory. For pure model aggregation, OpenRouter is more complete. For self-hosting, LiteLLM is more appropriate.
FAQ
How many models does Glama support?
Glama supports major providers (OpenAI, Anthropic, Google, Mistral, etc.) and their models. Check glama.ai for the exact catalog.
Does Glama add latency?
Any intermediary adds a few milliseconds. In practice, the impact is negligible for the majority of use cases.
Is the Glama MCP directory free?
Yes, the directory is a free discovery service. Usage of third-party MCP servers remains subject to those servers' terms.
Is Glama GDPR compliant?
Check the privacy policy at glama.ai. Data transmitted to models passes through their servers before going to providers.
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Screenshots Glama
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Glama : 0/10.
An LLM API aggregator with monitoring and cost management, useful for teams that want to centralize their multi-model access with observability..
Test Glama yourself
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Glama
Usage-based API