LazyLLM VS LiteLLM

Let’s have a side-by-side comparison of LazyLLM vs LiteLLM to find out which one is better. This software comparison between LazyLLM and LiteLLM is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether LazyLLM or LiteLLM fits your business.

LazyLLM

LazyLLM
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LazyLLM: Low-code for multi-agent LLM apps. Build, iterate & deploy complex AI solutions fast, from prototype to production. Focus on algorithms, not engineering.

LiteLLM

LiteLLM
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Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

LazyLLM

Launched
Pricing Model Free
Starting Price
Tech used
Tag Low Code,Mlops

LiteLLM

Launched 2023-08
Pricing Model Free
Starting Price
Tech used Next.js,Vercel,Webpack,HSTS
Tag Gateway

LazyLLM Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

LiteLLM Rank/Visit

Global Rank 102564
Country United States
Month Visit 482337

Top 5 Countries

15.04%
14.77%
8.53%
3.3%
2.72%
United States China India Germany Vietnam

Traffic Sources

1.9%
0.7%
0.07%
11.34%
41.94%
44.03%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing LazyLLM and LiteLLM, you can also consider the following products

TaskingAI - TaskingAI brings Firebase's simplicity to AI-native app development. Start your project by selecting an LLM model, build a responsive assistant supported by stateful APIs, and enhance its capabilities with managed memory, tool integrations, and augmented generation system.

LM Studio - LM Studio is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs). The LM Studio cross platform desktop app allows you to download and run any ggml-compatible model from Hugging Face, and provides a simple yet powerful model configuration and inferencing UI. The app leverages your GPU when possible.

Laminar AI - Laminar is a developer platform that combines orchestration, evaluations, data, and observability to empower AI developers to ship reliable LLM applications 10x faster.

Literal AI - Literal AI: Observability & Evaluation for RAG & LLMs. Debug, monitor, optimize performance & ensure production-ready AI apps.

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