Run: 2026-03-06-01KK1GX61RAQ95XHSTDW4TMHTW

Run Details

Duration:
9.3s
Cost:
$0.004695
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
68.3860% 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, this is low even for us.” “Low? Bill, it’s a children’s party, not a monastery.” “Children have tiny lungs and loud opinions.” “Exactly. Chaos is cover. Balloons, cake, sugar hysteria. We stroll in dressed as magicians, bow twice, and vanish with the loot.” “Presents, Molly. They’re presents.” “Loot in bright paper.” “What if the kids notice?” “They’re six. Shake a puppet and they’ll accuse the dog.” “I hate puppets. Their smiles are legal threats.” “Focus. Front gate, one bored dad, one clown with nicotine sadness, and a bouncy castle listing like a doomed yacht.” “I don’t trust castles that wheeze.” “You don’t have to marry it. You distract the clown.” “With what?” “Cigarettes. Sympathy. A better clown philosophy.” “I haven’t got one.” “Make one up. Tell him honking is oppressive.” “And you?” “I slip to the gift table, load the sack, and exit through the garden.” “The garden has those plastic flamingos.” “Excellent. Witnesses nobody believes.” “This feels cursed.” “Bill, all jobs feel cursed until payday.” “What about the birthday child?” “Prime suspect once the cake goes missing.” “We’re not stealing cake.” “Don’t limit the horizon.” “If a seven-year-old bites me again, I’m retiring.” “Then wear thicker trousers and look whimsical.”
created_at"2026-03-06T12:10:39.552Z" 3/6/2026, 12:10:39 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2501
moderation_latency(null)
generation_time9262
tokens_prompt77
tokens_completion414
native_tokens_prompt66
native_tokens_completion302
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"
usage0.004695
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_09d1517d5c410c650169aac43fbc948196b58ee2e4fb3f02c0"
is_byokfalse
latency293
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-1772799039-lrPPdT440ImPVVFY7glh"
upstream_id"resp_09d1517d5c410c650169aac43fbc948196b58ee2e4fb3f02c0"
total_cost0.004695
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words202
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal204
wordsDialogue204
68.3860%