DSPyvsLiteLLM

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

DSPy

Developer Tools

Programming framework for LLMs — optimize prompts with code, not strings

LiteLLM

LLM APIs & Inference

Unified API proxy for 100+ LLM providers — one interface, any model

FeatureDSPyLiteLLM
CategoryDeveloper ToolsLLM APIs & Inference
PricingFree (open-source)Free (open-source), hosted proxy available
GitHub Stars
More stars
22k
16k
PlatformsLinux, 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

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