Run: 2026-03-09-01KK9PV6E34H0726DG136B8XFN

Run Details

Duration:
26.9s
Cost:
$0.021675
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
97.47% Dialogue to Total Word Ratio (details)
98.7362% 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 at the bouncing castle, where shrieking children orbited a table piled with presents like gulls around chips. “Bill, tell me that’s not a clown on stilts.” “It is, and I refuse to be intimidated by a man in striped socks.” “You said that about the mall cop.” “He had a Segway, Molly. That’s cavalry.” “Focus. Entry points?” “Front gate disguised as responsible relatives, or back fence disguised as highly athletic shrubs.” “We’ve never been athletic shrubs.” “We’ve been worse. Remember the aquarium job?” “I still smell haddock when I’m nervous. What about the dog?” “Bribed with sausage rolls.” “The magician?” “Easily distracted by mirrors.” “The children?” “Sticky, short, and unpredictable. We avoid them like taxes.” “And the presents?” “Snatch, stack, and vanish before cake.” “What if they sing?” “Happy Birthday?” “No, the alarm. Kids always sing before chaos.” “Then we move on the second ‘to you.’” “Bill, one more issue. That piñata is looking at me.” “Everything looks at you when you owe it money.” Molly straightened her hat and grinned. “Right. We go in smiling, leave jingling, and under no circumstances accept face paint.” “Agreed. Last time the getaway horse laughed all the way.”
created_at"2026-03-09T16:28:21.327Z" 3/9/2026, 4:28:21 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency25726
moderation_latency(null)
generation_time26597
tokens_prompt77
tokens_completion394
native_tokens_prompt66
native_tokens_completion1434
native_tokens_completion_images0
native_tokens_reasoning1140
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"
usage0.021675
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_0620694b4cd566740169aef5256a808196899d8ed55cb882c4"
is_byokfalse
latency169
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-1773073701-woU24YXDeMA7nq3SVSCX"
upstream_id"resp_0620694b4cd566740169aef5256a808196899d8ed55cb882c4"
total_cost0.021675
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
97.47% Dialogue to Total Word Ratio
Ratio: 86.00%, Deviation: 4.00%
neededCleanfalse
wordsTotal200
wordsDialogue172
98.7362%