Run: 2026-04-24-01KQ0NVEMA4B4P687KKA5S7B5R

Run Details

Duration:
56.7s
Cost:
$0.118470
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.93% Dialogue to Total Word Ratio (details)
99.9651% 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 whispered, “Bill, the birthday fortress awaits.” “Please stop calling Mrs. Puddleton’s lawn a fortress.” “It has bunting. Bunting is medieval.” “It has toddlers.” “Same thing, with juice boxes.” “Remind me why we’re stealing presents from children?” “Because rich Uncle Nigel wrapped something diamond-shaped, and because you lost our rent betting on a ferret named Mortgage.” “He looked swift.” “He looked asleep.” “Fine. What’s our brilliant plan?” “We stroll in as clowns.” “You hate clowns.” “I hate competition.” “I’m dressed as a pirate.” “Pirates are sea clowns.” “The dog is staring.” “Offer him your wooden leg.” “It’s my real leg.” “Then negotiate.” A balloon popped. “Fearless, aren’t you?” “I’m allergic to surprises.” A child opened the gate. “Yes, darling. We are the emergency laughter.” “And definitely not moral complexity.” The child handed Bill a cone hat. “Great. We need judges for musical chairs.” “Bill, new objective.” “The presents?” “No. Victory.” “Against children?” “Especially children.” “Then cake?” “Then cake. No presents.” “Can I keep the hat?” “Only if you win.” “Molly, if I beat a seven-year-old, is that wrong?” “Bill, it’s character development.” “For whom?” “Whichever one cries less.” “Also, share the cake with the dog first.” “Save me cake, pirate.”
created_at"2026-04-24T21:20:38.546Z" 4/24/2026, 9:20:38 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency54041
moderation_latency(null)
generation_time56361
tokens_prompt77
tokens_completion419
native_tokens_prompt66
native_tokens_completion3938
native_tokens_completion_images0
native_tokens_reasoning3624
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"
usage0.11847
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0d970b46673c089b0169ebdea6a8608196b9aea8e5c6525e7f"
is_byokfalse
latency268
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-1777065638-tuhchk48efcVXbOwsm0w"
session_id(null)
api_type"completions"
id"gen-1777065638-aDTrlvDmxTVh8v7hOJj0"
upstream_id"resp_0d970b46673c089b0169ebdea6a8608196b9aea8e5c6525e7f"
total_cost0.11847
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
99.93% Dialogue to Total Word Ratio
Ratio: 91.63%, Deviation: 1.63%
neededCleanfalse
wordsTotal203
wordsDialogue186
99.9651%