Run: 2026-03-18-01KM07KW9FJHC6J8QJ4G22GPGB

Run Details

Duration:
3.5s
Cost:
$0.001647
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
27.17% Matches word count (details)
98.90% Dialogue to Total Word Ratio (details)
63.0336% 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,” whispered Bill, “are you sure this is the right house?” “It has balloons, streamers, and a giant banner that says Happy Birthday, so unless the neighbors are throwing a very confusing divorce, yes.” “Good point. Now, remind me why we’re stealing presents from a children’s party?” “Because the client said the loot was easy, cheerful, and unguarded.” “Your client also once paid us in coupon books.” “And yet I still feel he understands value.” Bill peered through the hedge. “I see a clown.” “That’s not a clown.” “It has a red nose.” “That’s Mrs. Dalton’s husband.” “Oh. He does look like a clown.” “Might be useful.” “Useful how?” “If he asks questions, distract him with balloons. If he asks more questions, give him cake.” “And if he asks where the presents went?” “Molly smiled. “We say the gifts were taken for a surprise.” “A surprise for who?” “For us.” Bill grinned. “I like your style. Quietly in, quietly out?” “Exactly. No fuss, no screams, no glitter.” “Why no glitter?” “Because glitter is the fingerprint of chaos.” Bill nodded solemnly. “And the presents?” “We load them into the van.” “Then?” “Then we become the world’s worst party guests.” Bill sighed. “Molly?” “Yes?” “If there’s a pony, I’m stealing the pony too.” “You always say that.” “And I’m always right.”
created_at"2026-03-18T10:24:44.858Z" 3/18/2026, 10:24:44 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2618
moderation_latency(null)
generation_time3264
tokens_prompt77
tokens_completion431
native_tokens_prompt66
native_tokens_completion355
native_tokens_completion_images0
native_tokens_reasoning38
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"
usage0.001647
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_04146d293daf02330169ba7d6cf1308193889bf2bf9c0f5e01"
is_byokfalse
latency319
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-1773829484-Fs7oK4KUJpJTIS1C5HlG"
upstream_id"resp_04146d293daf02330169ba7d6cf1308193889bf2bf9c0f5e01"
total_cost0.001647
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
27.17% Matches word count n/a
neededCleanfalse
words219
98.90% Dialogue to Total Word Ratio
Ratio: 86.76%, Deviation: 3.24%
neededCleanfalse
wordsTotal219
wordsDialogue190
63.0336%