LangSmith vs MathEval

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	LangSmith Evaluation	MathEval Evaluation
Tagline	LangChain's eval + observability platform.	Holistic benchmark suite for evaluating mathematical reasoning in large language models.
Category	Evaluation	Evaluation
Pricing	Freemium· Free starter; Plus $39/mo per seat	Free· Free; open-source benchmark with leaderboard submissions via matheval.ai
Model	Platform (any LLM)	GPT-4 grader / DeepSeek-LLM-7B verifier
Editorial score	8.7 / 10	—
Use cases	LLM tracingevalsLangChain integration	llm-math-benchmarkingmodel-leaderboardsreasoning-evaluationresearchcontamination-resistant-eval
Pros	Tight LangChain integration Strong tracing UX Mature dataset/eval flows Reasonable per-seat pricing	Aggregates 22+ math datasets and ~30K problems in one consistent harness GPT-4 grader (or distilled DeepSeek-7B) avoids brittle regex answer matching Annually refreshed Gaokao problems push back on benchmark contamination Supports HF, API, and custom open-source models with zero/few-shot modes Fully open source on GitHub with a published peer-reviewed paper
Cons	Best value if you're on LangChain UI can feel dense	No instant hosted API; runs are queued and compute-heavy Leaderboard tooling is academic-grade, not a polished SaaS Grader dependency on GPT-4 introduces its own cost and bias surface Focus is narrow: math reasoning only, not general capability
Website	www.langchain.com	matheval.ai

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