Run: 2026-03-09-01KK9PZW5EWY37RSD0VEZH2HDY

Run Details

Duration:
13.8s
Cost:
$0.007245
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
51.03% Dialogue to Total Word Ratio (details)
70.7567% 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
“Bill, you cannot wear a fake mustache to a six-year-old’s birthday party.” “Why not? It says ‘trusted uncle.’” “It says ‘discount magician.’” “Close enough. Kids love mystery.” “Kids love cake. We’re there for presents, remember?” “I remember. I also remember last time you said ‘blend in,’ and I ended up in a balloon arch.” “That was one arch, Bill. Stop making it your personality.” “What’s the plan, then?” “We stroll in, smile politely, admire the clown from a safe emotional distance, and locate the gift table.” “Then what?” “Then we improvise dignity, which will be a first for you.” “Harsh. Accurate, but harsh.” “No grabbing, no cackling, no announcing ‘jackpot’ over a pile of dinosaur wrapping paper.” “That happened once.” “At a christening.” “Still got the train set.” “Focus. We wait until the party game starts. All eyes on the children, none on the presents.” “And if a child asks who we are?” “You’re Bill from Face Painting.” “I can’t paint faces.” “You can barely paint sentences. Just hold a brush and look disappointed.” “And you?” “I’m Molly, assistant to the woman wrestling a piñata string.” “Elegant.” “Effective.” “What about the dog?” “Bribeable.” “With what?” “Mini sausage rolls.” Bill grinned. “Molly, this is the classiest crime we’ve ever almost committed.”
created_at"2026-03-09T16:30:54.648Z" 3/9/2026, 4:30:54 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4606
moderation_latency(null)
generation_time13761
tokens_prompt77
tokens_completion431
native_tokens_prompt66
native_tokens_completion472
native_tokens_completion_images0
native_tokens_reasoning157
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"
usage0.007245
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_012a059c12c2e8730169aef5becc60819391a009528db543e4"
is_byokfalse
latency287
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-1773073854-5bp4fqgf1waBeI1tiM5K"
upstream_id"resp_012a059c12c2e8730169aef5becc60819391a009528db543e4"
total_cost0.007245
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
90.48% Matches word count n/a
neededCleanfalse
words210
51.03% Dialogue to Total Word Ratio
Ratio: 99.06%, Deviation: 9.06%
neededCleanfalse
wordsTotal212
wordsDialogue210
70.7567%