Run: 2026-04-24-01KQ0NF2MRKD45YC159AV89RAH

Run Details

Duration:
49.9s
Cost:
$0.100380
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
97.09% Dialogue to Total Word Ratio (details)
98.5438% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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 alley dumpster. Bill, disguised in a balloon-animal hat, watched the church hall shimmer with streamers, parents, and the terrifying music of sugar. “Right. We enter during pass-the-parcel, blend with the magicians, and liberate the glittery loot.” “Liberate? They’re teddy bears, not prisoners.” “Everything in wrapping paper is oppressed.” “What if a child asks my age?” “Say you’re tall for six.” “I’m thirty-eight.” “Extremely tall.” “What if they make me dance?” “Then dance criminally.” “What if there’s a clown?” “Bill, focus. The bicycle is our crown jewel.” “You don’t ride bicycles.” “I could learn. Crime needs cardio.” “You once got winded opening a biscuit tin.” “That tin was fortified.” A paper crown skittered over and stuck to Molly’s boot. She kicked it off with professional disdain, slipped on a cupcake, and landed in a recycling bin with a small heroic honk. “Maybe the universe objects.” “The universe can queue.” They peered through the window. Beneath HAPPY BIRTHDAY, GRACIE! a girl hugged a three-legged rescue dog. “We’re stealing from a dog girl?” Molly folded the map. “Fine. We steal cake and donate better balloons.” Bill nodded, already calculating whether frosting counted as portable treasure tonight.
created_at"2026-04-24T21:13:53.056Z" 4/24/2026, 9:13:53 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency45907
moderation_latency(null)
generation_time49767
tokens_prompt77
tokens_completion615
native_tokens_prompt66
native_tokens_completion3335
native_tokens_completion_images0
native_tokens_reasoning3041
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"
usage0.10038
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0e58a1ce4732cf900169ebdd112330819091d853b6e3f458bd"
is_byokfalse
latency270
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-1777065233-VLHhqHKgCqYHfHwwVBfF"
session_id(null)
api_type"completions"
id"gen-1777065233-9nCPZV477DHaIxNchDez"
upstream_id"resp_0e58a1ce4732cf900169ebdd112330819091d853b6e3f458bd"
total_cost0.10038
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
97.09% Dialogue to Total Word Ratio
Ratio: 54.15%, Deviation: 4.15%
neededCleanfalse
wordsTotal205
wordsDialogue111
98.5438%