Run: 2026-04-24-01KQ0MVHPJRNEN2SAD36RNF5YB

Run Details

Model:
GPT-5.5
Duration:
9.5s
Cost:
$0.009480
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
98.71% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
67.7502% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
“Bill, stop drawing the floor plan in frosting.” “It’s not frosting, Molly. It’s tactical icing.” “It’s a napkin from the bakery.” “Exactly. Perfect camouflage.” “We are not calling it Operation Cupcake Thunder.” “Fine. Operation Responsible Redistribution of Wrapped Goods.” “Bill.” “What?” “It’s a children’s party.” “So?” “So we need subtlety. Balloons, face paint, maybe a fake pony.” “I can be the pony.” “You cannot be the pony. You panic near apples.” “That was one time, and the apple looked judgmental.” “Listen. We enter as entertainers.” “I’ll juggle.” “You dropped three oranges into a soup tureen yesterday.” “The soup applauded.” “Molly, what about presents?” “We locate the gift table, create a distraction, and roll everything out in the magician’s trunk.” “Do we have a magician’s trunk?” “No, we have your laundry hamper.” “It has wheels.” “It smells like betrayal.” “Children won’t notice.” “Children notice everything. One of them once asked if my eyebrows were cousins.” “Harsh crowd.” “Exactly. We need charm.” “I’ll make balloon animals.” “You only know balloon snakes.” “Snakes are animals.” “Make them festive snakes.” “Can they wear tiny hats?” “Perfect. While they admire hats, I grab the parcels.” “And if the parents intervene?” “We smile.” “That’s your whole plan?” “No, Bill. Then we run.”
created_at"2026-04-24T21:03:13.128Z" 4/24/2026, 9:03:13 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1091
moderation_latency(null)
generation_time9321
tokens_prompt77
tokens_completion460
native_tokens_prompt66
native_tokens_completion305
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.00948
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0c052d58c1df38c70169ebda913ee48193b692f8524003dc02"
is_byokfalse
latency392
model_permaslug"openai/gpt-5.5-20260423"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777064593-1lp9M8usv2oj0SLWi25X"
session_id(null)
api_type"completions"
id"gen-1777064593-f6gEi2xN6QLR0Aa1Zby3"
upstream_id"resp_0c052d58c1df38c70169ebda913ee48193b692f8524003dc02"
total_cost0.00948
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
98.71% Matches word count n/a
neededCleanfalse
words206
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal206
wordsDialogue206
67.7502%