Run: 2026-04-24-01KQ0PCJSAPP48RREBX030HSPK

Run Details

Duration:
11.6s
Cost:
$0.015690
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
68.10% Matches word count (details)
97.70% Dialogue to Total Word Ratio (details)
82.9033% 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. “Bill, behold: the birthday perimeter.” “That’s a placemat.” “It’s tactical stationery. Here’s the cake, here’s the clown, here’s the mountain of presents.” “Why is the clown labeled ‘possible wizard’?” “Because he made three sausages disappear.” “Children ate them, Molly.” “Exactly what a wizard would want us to think.” Bill squinted. “Our disguises?” “I’m going as Aunt Linda.” “You’re thirty-two.” “Aunt Linda is a state of mind.” “And me?” “You’re Balloon Man.” “I don’t know balloons.” “Perfect. Children respect mystery.” Bill tapped the map. “We stroll in, grab the gifts, stroll out?” “No. We mingle first. We compliment the piñata. We sing badly enough to be authentic.” “What if someone asks whose side we’re on?” “We say, ‘The birthday side.’ Works at every party.” Bill sighed. “Molly, stealing from children feels low.” “They’re not children’s presents yet. They’re wrapped potential.” “That is not a legal category.” “It is in my heart.” A waiter arrived. “More tea?” Bill said, “Please. And maybe a conscience.” Molly folded the placemat. “Fine. We’ll steal only the magician’s sausages.” “Now that’s a heist.”
created_at"2026-04-24T21:29:59.855Z" 4/24/2026, 9:29:59 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6321
moderation_latency(null)
generation_time11549
tokens_prompt77
tokens_completion398
native_tokens_prompt66
native_tokens_completion512
native_tokens_completion_images0
native_tokens_reasoning221
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"
usage0.01569
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0705143bb81759450169ebe0d7fa98819498a4a23b30c9560a"
is_byokfalse
latency283
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-1777066199-Ctro3T8BIc9NI0v9Av3y"
session_id(null)
api_type"completions"
id"gen-1777066199-xrFIHN09ZSXqO8P1U7SY"
upstream_id"resp_0705143bb81759450169ebe0d7fa98819498a4a23b30c9560a"
total_cost0.01569
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
68.10% Matches word count n/a
neededCleanfalse
words186
97.70% Dialogue to Total Word Ratio
Ratio: 86.10%, Deviation: 3.90%
neededCleanfalse
wordsTotal187
wordsDialogue161
82.9033%