Run: 2026-04-24-01KQ0NWV6DJD8KYB0PATDCQ4CQ

Run Details

Duration:
11.9s
Cost:
$0.013200
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
95.76% Dialogue to Total Word Ratio (details)
97.8381% 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
Molly unfolded a crayon map on the café table. “Behold, Bill: Operation Birthday Bonanza.” “Why is the house drawn as a cupcake?” “Because it’s a themed party. Stay focused.” “I am focused. I’m focused on the moral weight of robbing six-year-olds.” “Seven-year-olds. Practically adults.” “Last week you cried when a pigeon looked disappointed.” “That pigeon knew what it did.” “So the plan is: we stroll in, mingle, and steal presents?” “Liberate presents.” “From children.” “From capitalism.” “Wrapped in dinosaur paper.” Molly tapped the map. “We enter during musical chairs.” “I hate musical chairs. Too much tension.” “You’ll create a distraction.” “With what?” “Your balloon-animal skills.” “I can make a snake.” “Everyone can make a snake.” “Mine has emotional range.” A waiter passed. Bill lowered his voice. “What about the birthday girl?” “We avoid eye contact.” “She’ll have cake on her face and trust in her heart.” “Fine. We only take suspiciously large boxes.” “Those are usually bicycles.” “Exactly. Evidence of excess.” Bill sighed. “What if the children cry?” Molly paused. “We return everything and become magicians.” “Can we start there instead?” She looked at the crayon map. “Bill, you’re ruining my criminal arc.” “You drew glitter on the getaway van.” “It’s called branding.”
created_at"2026-04-24T21:21:24.182Z" 4/24/2026, 9:21:24 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3765
moderation_latency(null)
generation_time11812
tokens_prompt77
tokens_completion443
native_tokens_prompt66
native_tokens_completion429
native_tokens_completion_images0
native_tokens_reasoning128
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"
usage0.0132
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_00ba335d96524fe80169ebded442e48196814e88bc21f2a692"
is_byokfalse
latency428
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-1777065684-4lYpU01tLmbSfMerRUA0"
session_id(null)
api_type"completions"
id"gen-1777065684-p8WMv7oz73DatlLtRru2"
upstream_id"resp_00ba335d96524fe80169ebded442e48196814e88bc21f2a692"
total_cost0.0132
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words203
95.76% Dialogue to Total Word Ratio
Ratio: 85.44%, Deviation: 4.56%
neededCleanfalse
wordsTotal206
wordsDialogue176
97.8381%