# LangSmith: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 8 judge labels across 2 categories by 7 of 12 models. Page: https://it-ai-index.com/vendors/langsmith/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| LLM gateways and observability | 0% | 32 | 29% | 7 |
| ML platforms | 0% | 43 | 0% | 1 |

## What the models said for it

- "Look at Weights & Biases (tracking/registry) + Braintrust/LangSmith (LLMOps/Evals)" (Gemini 3.5 Flash, ML platforms)
- "LangSmith (If using LangChain/LangGraph)" (Grok 4.1 Fast, LLM gateways)

## And against it

- "Caveat: Can become expensive at high trace volumes, and it has a stronger lock-in effect if you move away from LangChain later." (Qwen 3.7 Flash, LLM gateways)
- "Tradeoff: Less flexible if you use other frameworks" (MiniMax M2.5, LLM gateways)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.