“1. Groq — Best for ultra-low latency”
“Best for ultra-low latency”
“Specialized inference hardware.”
“Very high generation throughput on supported models.”
“Model selection is narrower than general-purpose GPU providers.”
“2. Fireworks AI — Best overall balance”
“Best overall balance”
“Broad open-model selection.”
“Optimized inference and fine-tuning support.”
“Good fit for production applications.”
“3. Together AI — Best for model breadth and predictable capacity”
“Large selection of open-weight models.”
“Best for model breadth and predictable capacity”
“Dedicated inference and reserved throughput options.”
“Fine-tuning capabilities.”
“4. DeepInfra — Best for cost efficiency”
“Best for cost efficiency”
“Competitive per-token pricing.”
“Broad open-model availability.”
“5. Baseten — Best for dedicated production serving”
“Best for dedicated production serving”
“Dedicated model deployments.”
“More control over deployment and scaling.”
“6. Modal — Best for infrastructure flexibility”
“Best for infrastructure flexibility”
“GPU-backed compute.”
“Greater control over the model runtime.”
“Arize AX Best for enterprise evaluation and monitoring”
“Best for enterprise evaluation and monitoring”
“Online evaluators.”
“Production guardrails.”
“DeepEval Best for automated testing”
“Best for automated testing”
“Python-based evaluation framework.”
“Hallucination and faithfulness metrics.”
“CI/CD integration.”
“Ragas Best for RAG evaluation”
“Context precision and recall.”
“Faithfulness.”
“Answer relevance.”
“Best for RAG evaluation”
“Other options worth knowing include Cerebras for very high-speed inference on supported models and OpenRouter for routing across multiple model providers.”
“Cerebras for very high-speed inference on supported models”
“Other options worth knowing include Cerebras for very high-speed inference on supported models and OpenRouter for routing across multiple model providers.”
“Routing | LiteLLM | Provider abstraction”
“Routing | LiteLLM | Provider abstraction”
“LangSmith Best for LangChain ecosystems”
“Best for LangChain ecosystems”
“Execution tracing.”
“Prompt testing.”
“Production monitoring and evaluation.”
“Braintrust Best dedicated evaluation platform”
“Best dedicated evaluation platform”
“Dataset-based evaluations.”
“LLM-as-a-judge scoring.”
“Regression testing.”
“Langfuse Best overall open-source choice”
“Open-source and self-hostable.”
“LLM traces and execution trees.”
“Token usage and cost tracking.”
“Prompt management.”
“Datasets and evaluations.”
“Arize Phoenix Best for debugging complex RAG and agents”
“Best for debugging complex RAG and agents”
“Open-source tracing.”
“Retrieval and embedding analysis.”
“OpenTelemetry-oriented instrumentation.”
“Helicone Best for simple LLM API monitoring”
“Best for simple LLM API monitoring”
“API-level request logging.”
“Latency and cost analytics.”
“Gateway/proxy approach.”