APIUp to 28% cheaper than official pricesTry the API →
Hermes
Back to News

Parallel's PWS-Decisions Benchmark Exposes OpenAI Falling Below Random Accuracy

Parallel open-sourced PWS-Decisions , 300 classification questions whose answers depend on live web facts. Parallel Decisions API scored 76.22% vs Perplexity 50.89%, OpenAI 41.67%, Jev 33.44%. OpenAI Decisions scored 2.2x lower on PWS-Decisions than on static JevBench, exposing a live-web gap.

Parallel's PWS-Decisions Benchmark Exposes OpenAI Falling Below Random Accuracy
Source
Parallel Web Systems
Published
Author
Parallel Web Systems
Read
5 min read

Takeaways

  • Parallel open-sourced PWS-Decisions , 300 classification questions whose answers depend on live web facts.
  • Parallel Decisions API scored 76.22% vs Perplexity 50.89%, OpenAI 41.67%, Jev 33.44%.
  • OpenAI Decisions scored 2.2x lower on PWS-Decisions than on static JevBench, exposing a live-web gap.
  • Parallel ran at 0.56s p50 and $1 per 1,000 requests; Haiku 5.5 plus search hit ~$28.
  • 100 questions are public via gated Hugging Face , 200 kept private to prevent contamination.
  • Deterministic scoring, no LLM judge; refusals count as wrong to prevent abstention gaming.

Developers often need software to return one allowed label for a question whose evidence changed this week: Does a vendor support SAML single sign-on? Is a target account hiring? Has a supplier earned ISO 27001 certification? Parallel has released PWS-Decisions , a 300-question benchmark for APIs that retrieve current web evidence and convert it into structured decisions. Parallel’s own Decisions API leads the company’s full-set evaluation at 76.22% accuracy.

Decision APIs accept a question and a fixed set of outputs, then return a schema-constrained label that pipeline code can consume. Live-web decisions add retrieval, source selection and freshness checks to the final classification, exposing failure modes that prompt-only benchmarks leave unmeasured.

Decision APIWhole-set accuracy
Parallel Decisions API76.22%
Perplexity Decisions50.89%
Baseten Mammoth45.00%
OpenAI Decisions API41.67%
TypeSafe Jev 1.1433.44%
Configurationp50 latencyp95 latencyCost per 1,000 questions
Parallel Decisions API0.56 seconds0.71 seconds$1.00
OpenAI Luna with native web search7.42 seconds19.17 seconds$16.52
Anthropic Haiku 5.5 with native web search6.38 seconds10.95 seconds$27 to $29

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

Read original report

Sources

  1. 01x.com
  2. 02parallel.ai
  3. 03github.com
  4. 04huggingface.co
  5. 05parallel.ai