Question 1

Is LiteLLM better than DSPy?

Accepted Answer

It depends on your use case. LiteLLM is known for Unified API proxy for 100+ LLM providers — one interface, any model, while DSPy Programming framework for LLMs — optimize prompts with code, not strings. See our full comparison above for a detailed breakdown.

Question 2

Is LiteLLM free?

Accepted Answer

LiteLLM pricing: Free (open-source), hosted proxy available.

Question 3

Is DSPy free?

Accepted Answer

DSPy pricing: Free (open-source).

Question 4

What are the main differences between LiteLLM and DSPy?

Accepted Answer

LiteLLM and DSPy differ in features, pricing, and platform support. LiteLLM: Unified API proxy for 100+ LLM providers — one interface, any model. DSPy: Programming framework for LLMs — optimize prompts with code, not strings. See the full side-by-side comparison above for details.

Feature	LiteLLM	DSPy
Category	LLM APIs & Inference	Developer Tools
Pricing	Free (open-source), hosted proxy available	Free (open-source)
GitHub Stars	16k	✓ More stars 22k
Platforms	Linux, macOS, Docker	—
Key Features	✓ Unified API for 100+ LLM providers ✓ Load balancing across multiple API keys/providers ✓ Automatic fallbacks when providers fail ✓ Spend tracking and budget alerts per team/project ✓ Rate limiting and retry logic built-in ✓ OpenAI SDK compatible — zero code changes ✓ Self-hostable proxy server ✓ Supports streaming, function calling, vision
Pros	+ One API for 100+ providers + Built-in load balancing and fallbacks + Spend tracking and rate limiting + OpenAI SDK compatible	+ Systematic prompt optimization + Composable and testable LLM programs + Works with any LLM provider + Backed by Stanford NLP
Cons	− Adds a proxy layer (slight latency) − Complex config for advanced features	− Steep learning curve − Different paradigm from traditional prompting
Tags	api-gatewaymulti-providerproxyopen-source

LiteLLMvsDSPy

LiteLLM

DSPy

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