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SPECIFICTION
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HELM vs Maxim AI

HELM

crfm.stanford.edu

Maxim AI

getmaxim.ai

Side by side

FigureHELMMaxim AI
Price fromFree$29/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published14
Spec score · LLM Evaluation Tools8.3 (#7)8.1 (#8)
Spec score · AI LLM Evaluation Tools8.4 (#12)8.1 (#15)
Founded20222023
SupportUsers are directed to open GitHub issues for questions, which maintainers address when bandwidth is available.Developer and Professional plans list email support, Business lists private Slack support, and Enterprise lists a dedicated customer success manager.

Plans

HELM

  • HELMFree

HELM pricing →

Maxim AI

  • DeveloperFree
  • Professional$29 a month
  • Business$49 a month
  • EnterprisePriced on request

Maxim AI pricing →

In their own words

HELM

HELM is an open-source Python framework for evaluating foundation models, including large language and multimodal systems. It supplies standardized datasets and benchmarks such as MMLU-Pro, GPQA, IFEval, and WildBench, with a unified interface for models from providers including OpenAI, Anthropic, and Google. Evaluations can examine accuracy, efficiency, bias, and toxicity, and can include custom metrics, LLM-as-a-judge checks, safety evaluations, and human review workflows. Users can configure private checkpoints or model servers, run inference locally, or send requests to an API. A web interface displays individual prompts and responses, while leaderboards compare models and benchmarks across areas such as medicine, finance, multilinguality, and world knowledge. HELM can reproduce published evaluation results and documents commands for running benchmarks, summarizing results, and starting a local server. It is free, Apache-2.0 licensed, and entered maintenance mode on June 1, 2026.

Visit crfm.stanford.edu

Maxim AI

Maxim AI is an evaluation and observability platform for teams building AI agents. Its prompt IDE lets teams try prompts, models, tools, and context, manage prompt versions, create low-code chains, and deploy prompts without code changes. Teams can simulate agents in varied scenarios and assess them with preset or custom metrics. In production, workflow traces, live debugging, online evaluations, and regression alerts help teams monitor agents. Evaluators include LLM-as-a-judge, statistical, programmatic, and human options; teams can use synthetic or custom multimodal datasets. Product managers can define and analyze evaluations in a no-code UI, while developers can use SDKs, a CLI, and webhooks. SDKs are listed for Python, TypeScript, Java, and Go. Maxim supports web, API, and self-hosted deployment, with enterprise VPC deployments available. The Developer plan is free; Professional costs $29/user/mo and a 14-day trial is available. The free plan has up to 3 seats, 1 workspace, 10k monthly logs, and 3-day data retention.

Visit getmaxim.ai