Run: 2026-03-18-01KM08KZ2K2ZC9S8VKTJ3CJYZP

Run Details

Duration:
6.3s
Cost:
$0.007132
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
93.71% Dialogue to Total Word Ratio (details)
96.7273% 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 peered through the hedge. "There it is, Bill. The annual shriek-fest." Bill adjusted his tie. "You mean the children's party?" "That's what I said. Look at those presents." "Stacked like tiny, colorful regrets," Bill whispered. "Exactly. We go in, blend in, and leave with the loot." "Blend in?" Bill hissed. "I am a six-foot man in a fake mustache carrying a sack." "Then act like a clown." "I resent that." "Good. Resentment is subtle." Inside, a balloon popped. "Did you hear that?" "Yes," Molly said. "The room is full of sugar and panic. Perfect cover." Bill swallowed. "What if they ask questions?" "Children?" Molly scoffed. "Please. Tell them you're the magician." "I can't do magic." "Then do what every magician does: lie with confidence." "And the presents?" "We take the big ones first. Train set, dollhouse, anything that rattles." "Disgusting." "Bill, we are thieves." "Fair. But if I get caught by a toddler, I want it on my gravestone." Molly grinned. "Move quietly." Bill nodded. "And if there's cake?" "Bill." "What?" "No snacking. We're professionals." "Fine," he whispered, "but if there's blue frosting, I'm weak." Molly laughed. "Then don't look at the cake. Look at the exits and the emergency confetti. Now, move."
created_at"2026-03-18T10:42:16.288Z" 3/18/2026, 10:42:16 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5453
moderation_latency(null)
generation_time6092
tokens_prompt77
tokens_completion333
native_tokens_prompt66
native_tokens_completion1574
native_tokens_completion_images0
native_tokens_reasoning1250
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0071325
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_00a6ee27eb70a7fd0169ba818859c48197aba3130fddc1d99f"
is_byokfalse
latency184
model_permaslug"openai/gpt-5.4-mini-20260317"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773830536-4gnUHYEUOSfPMy7dHJ4Q"
upstream_id"resp_00a6ee27eb70a7fd0169ba818859c48197aba3130fddc1d99f"
total_cost0.0071325
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
99.74% Matches word count n/a
neededCleanfalse
words204
93.71% Dialogue to Total Word Ratio
Ratio: 84.95%, Deviation: 5.05%
neededCleanfalse
wordsTotal206
wordsDialogue175
96.7273%