Question 1

Is DSPy better than LiteLLM?

Accepted Answer

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

Question 2

Is DSPy free?

Accepted Answer

DSPy pricing: Free (open-source).

Question 3

Is LiteLLM free?

Accepted Answer

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

Question 4

What are the main differences between DSPy and LiteLLM?

Accepted Answer

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

Feature	DSPy	LiteLLM
Category	Developer Tools	LLM APIs & Inference
Pricing	Free (open-source)	Free (open-source), hosted proxy available
GitHub Stars	✓ More stars 22k	16k
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	+ Systematic prompt optimization + Composable and testable LLM programs + Works with any LLM provider + Backed by Stanford NLP	+ One API for 100+ providers + Built-in load balancing and fallbacks + Spend tracking and rate limiting + OpenAI SDK compatible
Cons	− Steep learning curve − Different paradigm from traditional prompting	− Adds a proxy layer (slight latency) − Complex config for advanced features
Tags		api-gatewaymulti-providerproxyopen-source

DSPyvsLiteLLM

DSPy

LiteLLM

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