Run: 2026-03-18-01KM0A0KDB9HZ3SH3G6XGDYW0Q

Run Details

Duration:
3.7s
Cost:
$0.001741
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
68.10% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
34.0511% 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 crouched behind the hedge, peering at the fairy-lit house. “Right, Bill, tonight we become festive legends.” Bill adjusted his too-small Santa hat. “I’ve always wanted a legend with more tinsel.” “Focus. The party starts at six, the cake arrives at six-thirty, and the presents are piled by the piano.” “Piano? Marvelous. I can only lift with musical accompaniment.” Molly sighed. “You are not lifting with musical accompaniment. You’re carrying the sack.” Bill glanced at the tiny velvet bag. “This sack looks optimistic.” “It’s a children’s party, Bill. The gifts are small, but numerous. Think of it as volume theft.” He nodded solemnly. “My specialty. I once stole twelve jam doughnuts and a brass doorknocker.” “Exactly. We mingle, compliment the balloon animals, and wait for the magician to distract the parents.” Bill grinned. “And then?” “And then we sweep in, collect the presents, and leave before anyone notices the missing train set.” “Brilliant,” Bill whispered. “What if they ask our names?” Molly straightened her gloves. “We’re not names tonight. We’re caterers.” Bill’s eyes widened. “Do caterers usually have one fake moustache?” “No.” “Excellent. I’m already suspicious.”
created_at"2026-03-18T11:06:38.901Z" 3/18/2026, 11:06:38 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1732
moderation_latency(null)
generation_time3594
tokens_prompt77
tokens_completion357
native_tokens_prompt66
native_tokens_completion376
native_tokens_completion_images0
native_tokens_reasoning92
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"
usage0.0017415
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_01b0abf3a3da0f520169ba873f099081949d0558dc58f5f176"
is_byokfalse
latency504
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-1773831998-DRJPnoVebSuCuB7d5T8K"
upstream_id"resp_01b0abf3a3da0f520169ba873f099081949d0558dc58f5f176"
total_cost0.0017415
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
68.10% Matches word count n/a
neededCleanfalse
words186
0.00% Dialogue to Total Word Ratio
Ratio: 78.31%, Deviation: 28.31%
neededCleanfalse
wordsTotal189
wordsDialogue148
34.0511%