# Caveman vs LiteLLM Caveman records 171,826 monthly visits with -15.5% month-over-month growth and Freemium, Contact for Pricing pricing. LiteLLM records 576,967 monthly visits with +7.9% growth and Freemium, Contact for Pricing pricing. | Metric | [Caveman](https://openaitools.app/tool/caveman) | [LiteLLM](https://openaitools.app/tool/litellm) | | :--- | :--- | :--- | | Website URL | https://caveman.so | https://litellm.ai | | Categories | AI Developer Tools, AI Agent, AI Monitor, AI Productivity Tools | AI API, Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | | Pricing Model | Freemium, Contact for Pricing | Freemium, Contact for Pricing | | Monthly Visits | 171,826 | 576,967 | | MoM Growth Rate | -15.5% | +7.9% | | Primary Market | United States | United States | | Direct Visits | 64,225 | 228,967 | | Review Score | 4.7 | 4.8 | | Saved Count | 0 | 5 | | Supported Platforms | Website | Website | ## Caveman Caveman addresses a very concrete problem for teams running AI agents: token bills grow faster than the value the agents produce. The core agent and SDK are free and MIT-oriented, sitting entirely on your machine or inside your production app. When a turn happens, Caveman scans logs, test output, JSON, diffs and documents, shrinks them before the model ever sees them, and keeps the original on disk so the model can ask for it when it genuinely needs the exact text. Beyond reading, Caveman also trims what the agent writes and picks the model per turn. Its output compressor strips filler prose while returning code, commands and error text byte-for-byte, and its routing layer hands each sub-agent task to the cheapest model and effort level that still gets it right. The company publishes benchmark figures such as around 33% fewer input tokens across full sessions and roughly 0.46x cost per task compared with always-frontier-model routing. Caveman Cloud is the paid, hosted layer. It watches live traffic, surfaces where tokens are still wasted, tests each proposed fix against your own work, and only then ships it with proof. The Cloud Free plan covers a single developer, Team is $300 a month with $300 of usage included, and Enterprise runs inside your own VPC via a Helm chart with your KMS and storage. **Pricing & Plans:** Freemium, Contact for Pricing [Profile (Markdown)](https://openaitools.app/tool/caveman.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 Caveman and LiteLLM compare in monthly traffic? Caveman has 171,826 monthly visits, while LiteLLM has 576,967. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Caveman has a month-over-month growth rate of -15.5%; LiteLLM has +7.9%. ### How does pricing compare? Caveman: Freemium, Contact for Pricing. Freemium, Contact for Pricing 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 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Runs parallel CLI coding agents in isolated worktrees, lacking dedicated context compression and cost routing tools. | [.md](https://openaitools.app/tool/orca.md) | | 4 | [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) | | 5 | [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) | | 6 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Provides an enterprise context engine for coding agents, but lacks open-source token compression and custom model routing. | [.md](https://openaitools.app/tool/augment-code.md) | | 7 | [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) | | 8 | [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) | | 9 | [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) | | 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Provides an open-source Python framework for building model-agnostic agents without built-in context compression. | [.md](https://openaitools.app/tool/agno.md) | --- Source: https://openaitools.app/compare/caveman-vs-litellm More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)