Run: 2026-04-24-01KQ0P2AT1XBJ5WQ0HY2SXG4XS

Run Details

Model:
GPT-5.5
Duration:
8.6s
Cost:
$0.008790
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
82.08% Dialogue to Total Word Ratio (details)
91.0297% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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
Molly unfolded the crayon-drawn map across the bonnet of their van, weighting the corners with a stale doughnut, a bent screwdriver, and Bill’s emergency kazoo. Across the street, balloons bobbed outside number seventeen, where thirty sugar-crazed children were shrieking beneath a banner reading HAPPY BIRTHDAY, TIMMY. “Clowns first, cake second, presents third,” Molly said. Bill squinted through binoculars held backwards. “That pony looks tactical.” “It’s a donkey in a hat.” The plan was elegant, if one ignored the glitter glue. Molly would enter disguised as Princess Sparkleboots, distract the parents with balloon animals resembling tax forms, and herd the children toward the garden. Bill would slip in as Uncle Kevin, a man nobody remembered inviting but everyone felt too polite to question, and load the presents into the van marked HAPPY FUN MAGICIANS. Inside his satchel, Bill carried labels reading EDUCATIONAL TOYS, the most boring camouflage known to childhood. “What if they ask for a trick?” Bill said. “Pull humility from your sleeve.” He patted his jacket nervously, producing three lollipops, a parking ticket, and a rubber chicken with judgmental eyes. The front door opened. A toddler wearing a cape pointed directly at them and yelled, “Mum, the burglars are here early!”
created_at"2026-04-24T21:24:24.01Z" 4/24/2026, 9:24:24 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency727
moderation_latency(null)
generation_time8545
tokens_prompt77
tokens_completion351
native_tokens_prompt66
native_tokens_completion282
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"
usage0.00879
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_07f0bbca8743e0fc0169ebdf881820819495cc2e146b849730"
is_byokfalse
latency238
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-1777065864-rBVQripGGXfAJ7curTB9"
session_id(null)
api_type"completions"
id"gen-1777065864-ibUXoSGvoKm8HBZtIZiN"
upstream_id"resp_07f0bbca8743e0fc0169ebdf881820819495cc2e146b849730"
total_cost0.00879
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words202
82.08% Dialogue to Total Word Ratio
Ratio: 16.67%, Deviation: 6.67%
neededCleanfalse
wordsTotal204
wordsDialogue34
91.0297%