# Itzam vs LiteLLM

Itzam records 0 monthly visits with 0% month-over-month growth and Freemium pricing. LiteLLM records 576,967 monthly visits with +7.9% growth and Freemium, Contact for Pricing pricing.

| Metric | [Itzam](https://openaitools.app/tool/itzam) | [LiteLLM](https://openaitools.app/tool/litellm) |
| :--- | :--- | :--- |
| Website URL | https://itz.am | https://litellm.ai |
| Categories | AI API, AI Developer Tools, Large Language Models (LLMs), AI Models | AI API, Large Language Models (LLMs), AI Developer Tools, Open Source AI Models |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 0 | 576,967 |
| MoM Growth Rate | 0% | +7.9% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 228,967 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 0 | 5 |
| Supported Platforms | Website | Website |

## Itzam

Building an AI feature usually means assembling a stack: a vector store for retrieval, prompt templates somewhere in your codebase, per-provider SDKs, a logging layer and a way to track spend. Itzam's pitch is that all of this belongs in one backend. Developers register their content as context slugs, define prompts and workflows in the dashboard, and then call a single SDK that streams responses back to the app.

The model-and-prompt hot-swap is the centerpiece. A tracked request log shows which model handled each call, how long it took, and what it cost, so teams can compare Claude, GPT and Gemini outputs against each other using real traffic rather than guesswork. Because context slugs stay stable, swapping the underlying model does not require touching application code.

Cost visibility is treated as a first-class feature: the dashboard aggregates requests, tokens and dollars by provider and model, which matters when a single feature can quietly span several paid APIs. Itzam is explicit that it is an open-source-leaning product in beta, and the homepage currently carries a maintenance-mode notice stating that new dashboard access and public API calls are temporarily unavailable — a live project, but one where you should verify current availability before depending on it in production.

**Pricing & Plans:** Itzam runs a freemium beta model: a free tier to get started, with paid usage as you scale. The dashboard centralizes AI spend across providers. Verify current beta plan terms on the official site, as access is temporarily limited during maintenance.

- **Managed retrieval context:** Store documents and knowledge as named 'context slugs' that the platform indexes and retrieves, so RAG pipelines no longer need custom vector-store plumbing.
- **Model and prompt hot-swap:** Change the active model or system prompt instantly from the dashboard; the live slug keeps working so you can test new models without a deploy.
- **Observability by default:** Built-in request logs show status, model, input, per-call cost and latency for every generation, making debugging and load testing straightforward.
- **Unified cost and usage tracking:** Aggregate spend across OpenAI, Anthropic and Google in one view, broken down by provider, model, requests and tokens.
- **Single SDK for 30+ models:** Access 30+ models through one TypeScript SDK with streaming support, so integrating AI into an app can take a handful of lines of code.

**Strengths:** Consolidates retrieval, prompts, model routing and cost tracking into one backend; Swap between Claude, GPT and Gemini without changing application code; Per-request logs with cost and latency built in; Very small SDK surface — a few lines to start streaming

**Limitations:** Public API and new dashboard access are paused while the product sits in maintenance mode; Still labeled Beta, so APIs and features may change without notice; Requires JavaScript/TypeScript familiarity to use the SDK and self-build integrations; Documentation spans two doc sets, which can be confusing for newcomers

[Profile (Markdown)](https://openaitools.app/tool/itzam.md)

## LiteLLM

LiteLLM is an open-source AI gateway and Python SDK designed to remove vendor lock-in from LLM applications. The SDK lets you call models from OpenAI, Anthropic, Google Vertex AI, Bedrock, Mistral, Azure and dozens of other providers using the same OpenAI-style request format, so switching models is a configuration change rather than a code rewrite. The same project ships an AI Gateway (often called the proxy) that turns that abstraction into a shared service for an entire organization.

That gateway is where most platform teams find the value. It issues virtual keys scoped by team, project or application, tracks spend per key against budgets, applies rate limits (TPM and RPM), and exposes dashboards for request volume, token usage and cost per model. Routing features include load balancing across deployments, automatic fallbacks when a provider fails, retries and budget-based rerouting, plus guardrails for PII masking, prompt-injection detection and secret detection.

The project is genuinely open source with the code on GitHub (BerriAI/litellm) and a very active community. Enterprise features add SSO, audit logs, and support for agents and MCP servers through the same gateway. Notably, LiteLLM supports day-zero access to new models so teams can adopt them as soon as they ship, and it can also serve self-hosted, fine-tuned and internal models behind the same key. Companies cited on the site include NVIDIA, Netflix, Okta, Lemonade and AT&T.

**Pricing & Plans:** Freemium and open source. The self-hosted LiteLLM gateway and SDK are free under an open-source licence, and a free tier lets you get started immediately. Enterprise plans with SSO, audit logs, SLAs and advanced support are quoted on request via the sales team.

- **OpenAI-compatible API for 100+ LLMs:** Call 100+ providers and 1,800+ models using one request format, so you can swap models without changing application code.
- **Virtual keys, teams and budgets:** Issue scoped keys per team, project or app, set monthly spend caps and see exactly who is driving usage and cost.
- **Routing, load balancing and fallbacks:** Distribute traffic across deployments, retry on failure and automatically fall back to another model or provider when one goes down.
- **Observability and spend tracking:** Dashboards for request volume, tokens and cost per model, with support for logging and analytics integrations.
- **Guardrails and policy controls:** Plug in PII masking, prompt-injection detection and secret-detection guardrails, and manage policies centrally instead of in every app.

**Strengths:** Truly open source with a large GitHub community and self-hosting option; Very broad provider coverage with an OpenAI-compatible interface; Enterprise-grade controls: virtual keys, budgets, rate limits and audit logs; Day-zero support for new models and easy fallback when providers fail

**Limitations:** Self-hosting means you own deployment, upgrades and uptime; Feature depth varies between the free open-source version and enterprise plan; The breadth of configuration options can be overwhelming for small projects

[Profile (Markdown)](https://openaitools.app/tool/litellm.md)

## Frequently Asked Questions

### How do Itzam and LiteLLM compare in monthly traffic?

Itzam has 0 monthly visits, while LiteLLM has 576,967. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Itzam has a month-over-month growth rate of 0%; LiteLLM has +7.9%.

### How does pricing compare?

Itzam: Freemium. Itzam runs a freemium beta model: a free tier to get started, with paid usage as you scale. The dashboard centralizes AI spend across providers. Verify current beta plan terms on the official site, as access is temporarily limited during maintenance. LiteLLM: Freemium, Contact for Pricing. Freemium and open source. The self-hosted LiteLLM gateway and SDK are free under an open-source licence, and a free tier lets you get started immediately. Enterprise plans with SSO, audit logs, SLAs and advanced support are quoted on request via the sales team.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Provides a massive hosted model catalog with instant access, but requires trusting a third-party platform instead of self-hosting. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Hosts high-performance open-weight models directly on dedicated serverless infrastructure, but does not route across external providers. | [.md](https://openaitools.app/tool/together-ai.md) |
| 3 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | Delivers automated model failover and budget governance through an API gateway, but with less open-source customization. | [.md](https://openaitools.app/tool/orcarouter.md) |
| 4 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | Unified LLM gateway with failover and analytics, but offers less robust open-source developer SDK support. | [.md](https://openaitools.app/tool/zenmux.md) |
| 5 | [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | +1.7% | Freemium, Contact for Pricing | The universal context engine connecting agents to data, tools, and models | [.md](https://openaitools.app/tool/merge-dev.md) |
| 6 | [AI/ML API](https://openaitools.app/tool/ai-ml-api) | 232,946 | -20.1% | Pay-as-you-go credits (free to start); enterprise custom pricing on request | One universal API for 500+ AI models and 1,000+ agentic tools | [.md](https://openaitools.app/tool/ai-ml-api.md) |
| 7 | [APIMaster](https://openaitools.app/tool/apimaster) | 210,182 | +46.3% | Paid | One OpenAI-compatible key for discounted GPT, Claude and Gemini access | [.md](https://openaitools.app/tool/apimaster.md) |
| 8 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | Offers advanced enterprise observability and guardrail tools, but lacks LiteLLM's lightweight self-hosted proxy simplicity. | [.md](https://openaitools.app/tool/portkey-ai.md) |
| 9 | [Eden AI](https://openaitools.app/tool/eden-ai) | 173,828 | +6.5% | Paid, Contact for Pricing | Provides managed multi-provider AI routing and cost tracking, but lacks the native open-source flexibility of LiteLLM. | [.md](https://openaitools.app/tool/eden-ai.md) |
| 10 | [LLM Gateway](https://openaitools.app/tool/llm-gateway) | 168,426 | -14.5% | Freemium, Contact for Pricing | An open-source alternative for unifying LLM providers, but features a less extensive ecosystem of middleware integrations. | [.md](https://openaitools.app/tool/llm-gateway.md) |

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Source: https://openaitools.app/compare/itzam-vs-litellm

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)