EleutherAI LM Evaluation Harness vs Google Stax

EleutherAI LM Evaluation Harness is free, with no paid plan attached. Google Stax is free, with no paid plan attached. Both are listed under LLM Eval & Observability, so this is a like-for-like comparison. Neither is ranked above the other — Flocci carries no sponsored placement.

EleutherAI LM Evaluation Harness vs Google Stax — straight answers

EleutherAI LM Evaluation Harness vs Google Stax: what is the difference?

EleutherAI LM Evaluation Harness is free, with no paid plan attached and is listed for standard open framework for running hundreds of benchmarks (MMLU, GSM8K and more) against any LLM. Google Stax is free, with no paid plan attached and is listed for build evals with human raters or LLM autoraters on your own data. Both sit in LLM Eval & Observability.

Is EleutherAI LM Evaluation Harness or Google Stax cheaper to start with?

Neither — EleutherAI LM Evaluation Harness and Google Stax are both free, so the choice comes down to capability rather than cost. Both entries list what they uniquely do above.

Which should I choose, EleutherAI LM Evaluation Harness or Google Stax?

Choose EleutherAI LM Evaluation Harness if you need standard open framework for running hundreds of benchmarks (MMLU, GSM8K and more) against any LLM; choose Google Stax if you need build evals with human raters or LLM autoraters on your own data. Flocci AI Tools does not rank one above the other — it shows both feature sets side by side and lets the requirement decide.

EleutherAI LM Evaluation Harness compared with Google Stax: pricing tier, category, listed capabilities and links.
 EleutherAI LM Evaluation HarnessGoogle Stax
Pricing tierFreeFree
Free to startYesYes
CategoryAI Models & Local ExecutionAI Models & Local Execution
TypeLLM Eval & ObservabilityLLM Eval & Observability
Listed capabilities
  • Standard open framework for running hundreds of benchmarks (MMLU, GSM8K and more) against any LLM
  • Backs the Hugging Face Open LLM evaluations
  • MIT licensed CLI and Python library
  • Build evals with human raters or LLM autoraters on your own data
  • Compare models and prompts on quality, latency and token cost
  • Prebuilt and custom evaluators
Tagslm evaluation harness, lm-eval, benchmark open llm locally, eleutherai eval, mmlu evaluation toolgoogle stax, llm evaluation tool, free prompt evaluation, llm as judge autoraters, compare llm prompts
Websitegithub.comstax.withgoogle.com
Full pageEleutherAI LM Evaluation Harness details →Google Stax details →
AlternativesEleutherAI LM Evaluation Harness alternatives →Google Stax alternatives →

Arize Phoenix

LLM Eval & Observability
free
  • Fully open-source, self-hostable with zero setup via `uvx` (pip/conda also supported)
  • Combines tracing, evals, datasets, experiments and prompt playground in one local-first tool
  • AI engineering agent (PXI) built in for automated troubleshooting of traces

DeepEval

LLM Eval & Observability
freeNew
  • Open-source LLM evaluation framework with pytest-style tests and 50+ metrics
  • RAG, agent and conversational metrics; red-teaming module
  • Apache-2.0; optional Confident AI cloud has a free tier

Laminar

LLM Eval & Observability
freeNew
  • Open-source observability and evals platform for AI agents (Apache-2.0)
  • Traces, session replay for browser agents and evaluations
  • Self-hostable

OpenLLMetry (Traceloop)

LLM Eval & Observability
freeNew
  • OpenTelemetry-based instrumentation for LLM calls, vector DBs and frameworks
  • Ships traces to Datadog, Grafana, Honeycomb or any OTel backend
  • Apache-2.0

Braintrust

LLM Eval & Observability
freemium
  • Free Starter plan ships model credits and scored evals with no card required
  • Unlimited users/projects/datasets/playgrounds even on the free tier
  • Built-in playground for side-by-side prompt/model comparison against production traces

Langfuse

LLM Eval & Observability
freemium
  • Fully open-source and self-hostable for free via Docker Compose/Kubernetes, not just a hosted SaaS
  • Hobby cloud plan is free with no credit card, 50k observability units/month
  • Combines tracing, prompt management, evals and datasets in one open platform