Run: 2026-03-09-01KKABYJTWJ9SRDB8C9GDGDFBG

Run Details

Duration:
10.1s
Cost:
$0.006045
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
51.93% Matches word count (details)
79.25% Dialogue to Total Word Ratio (details)
65.5875% 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 inflatable castle, wearing a caterer’s apron over black burglary clothes. Bill knelt beside a hedge, clutching a clipboard and a balloon pump like they were professional equipment. “Remember,” Molly whispered, “we’re not robbing children. We’re redistributing unappreciated inventory.” Bill peered at the garden. “Inventory wrapped in dinosaurs and glitter. Morally, it’s very confusing.” “The key is confidence. We stroll in, smile at a grandmother, and locate the present table.” “I can smile,” Bill said. “At grandmothers, less so. They can smell panic and discount aftershave.” A shriek erupted from the trampoline. A clown on stilts wandered past the gate, smoking. Molly adjusted her apron. “The clown is our window. No one watches presents when a tall man makes balloon swords.” Bill frowned. “I hate this plan.” “You hate all plans.” “I liked the tunnel under the aquarium.” “That was because it involved a sandwich van.” “An essential component of strategy,” Bill muttered. “What if they ask whose child we belong to?” Molly grinned. “We say we’re with Kevin.” “There’s always a Kevin.” “Exactly.” They slipped through the gate, nodding like exhausted parents. The gift table gleamed beneath a banner reading HAPPY SEVENTH, OLIVER. Bill lifted a parcel. “Heavy. Educational, probably.” Molly filled the sack. “Move quickly. Nothing inspires pursuit like stolen Lego.”
created_at"2026-03-09T22:37:12.423Z" 3/9/2026, 10:37:12 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
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cancelledfalse
latency3588
moderation_latency(null)
generation_time9992
tokens_prompt77
tokens_completion538
native_tokens_prompt66
native_tokens_completion392
native_tokens_completion_images0
native_tokens_reasoning74
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.006045
router(null)
provider_responses
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endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_0abe2bd57d2e37f10169af4b9881e48190b5c7072c4fc0a593"
is_byokfalse
latency170
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-1773095832-l83nVCX7FpSf9z9ONn03"
upstream_id"resp_0abe2bd57d2e37f10169af4b9881e48190b5c7072c4fc0a593"
total_cost0.006045
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
51.93% Matches word count n/a
neededCleanfalse
words216
79.25% Dialogue to Total Word Ratio
Ratio: 56.94%, Deviation: 6.94%
neededCleanfalse
wordsTotal216
wordsDialogue123
65.5875%