Openbenchmarks
Independent benchmarks for build-vs-buy decisions across inference APIs, web search, voice
Openbenchmarks is an independent benchmarking company that runs task-specific evaluations across vendors using the same inputs and conditions, supporting build-versus-buy decisions. Each benchmark measures real work in a domain, with ground truth built from first-party sources before any provider runs, and scoring metrics tailored to the task rather than a single combined scorecard.
Benchmarks cover web search APIs, multi-turn company search, company news, coding-agent search, document processing, company lookalikes, firmographic and funding enrichment, inference providers, voice agent latency, text-to-speech, and speech-to-text. Results are published through a public JSON API, with open eval harnesses, prompts, judges, scoring code, and runners available on GitHub, and public datasets on Hugging Face. Providers are tested through public APIs on documented credentials and the cheapest publicly listed plan.
The company sells evals as a service, giving customers access to public and validation sets with evals run on both, while the leaderboard runs on a private, regularly refreshed dataset. Providers can submit corrections with evidence for re-runs and re-publication.
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