Run: 2026-03-06-01KK1GZ906AS0ENRZ0V8DS18JE

Run Details

Model:
GPT-5.4
Duration:
9.1s
Cost:
$0.004860
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
61.5841% 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, tell me again why we’re robbing a children’s party.” “Because, Bill, nobody suspects two adults in paper hats.” “I suspect us, and I’m one of us.” “Relax. It’s elegant. Balloons, chaos, weak perimeter security.” “It’s a bouncy castle, not Fort Knox.” “Exactly. Their guard is down. Emotionally and architecturally.” “And we’re stealing presents from children.” “We’re liberating boxed goods from minors with no resale discipline.” “That is the grimmest sentence I’ve heard all week.” “Listen. You go in as the magician.” “I don’t do magic.” “You know three card tricks.” “I know one card trick, and it ends with me losing a card.” “Perfect. Low expectations are camouflage. I’ll be the face painter.” “You can’t paint faces.” “I can paint tigers badly. Children love tigers badly.” “What about the parents?” “Distractible. Give them coffee, mention school admissions, they’ll turn on each other.” “And when do we take the presents?” “During the cake. All eyes on sugar and open flame.” “What if the birthday child notices?” “We compliment the child’s crown, create a false sense of monarchy.” “That’s your plan? Flattery and sponge cake?” “Bill, every empire falls to flattery and sponge cake.” “I hate how convincing that sounds.” “Good. Now practice your magician voice.” “Abra-cadaver?” “No. Less felony, more whimsy.”
created_at"2026-03-06T12:11:48.11Z" 3/6/2026, 12:11:48 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency410
moderation_latency(null)
generation_time9027
tokens_prompt77
tokens_completion432
native_tokens_prompt66
native_tokens_completion313
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.00486
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_0ccb276feac2c68e0169aac4842e9c81909bcca76d42fbd7bd"
is_byokfalse
latency159
model_permaslug"openai/gpt-5.4-20260305"
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-1772799108-z3u4E3182A7iFGnFD3IK"
upstream_id"resp_0ccb276feac2c68e0169aac4842e9c81909bcca76d42fbd7bd"
total_cost0.00486
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words211
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal211
wordsDialogue211
61.5841%