Run: 2026-03-18-01KM099Y63CWV5YGEB391EREQJ

Run Details

Duration:
2.0s
Cost:
$0.001413
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
68.10% Matches word count (details)
0.08% Dialogue to Total Word Ratio (details)
34.0902% 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 peered through the bakery window at the rainbow balloons wobbling over the hall next door. “There,” she whispered, “a fortress of frosting and weak security.” Bill adjusted his cap. “You keep calling every place a fortress.” “Because every place has a door,” Molly said, “and every door has a fool nearby.” Bill squinted at the invitation he’d stolen from the trash. “It says the party starts at two, includes games, cake, and a magician.” “Perfect,” Molly said. “Magicians love distraction. Children love noise. Parents love sitting down. We arrive as harmless volunteers.” Bill frowned. “I don’t know how to be harmless.” “You already are,” Molly said. “Just hold a tray.” He nodded. “And then?” “We blend in, praise the balloon arch, compliment the puppet theater, and wait for the present pile to grow complacent.” Bill looked nervous. “What if a kid asks questions?” Molly smiled. “Then we say we are the Official Gift Relocation Team.” “That sounds fake.” “Exactly,” Molly said. “Fake is the foundation of confidence.” A burst of children’s laughter shook the hall. Bill swallowed. “How do we carry them out?” Molly tapped the shopping cart hidden behind the hedge. “In batches.” Bill blinked. “That’s your plan?” Molly grinned. “Bill, darling, every great theft begins with cake and ends with logistics.”
created_at"2026-03-18T10:54:16.272Z" 3/18/2026, 10:54:16 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency409
moderation_latency(null)
generation_time1873
tokens_prompt77
tokens_completion395
native_tokens_prompt66
native_tokens_completion303
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"
usage0.001413
router(null)
provider_responses
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endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0c4e3b313ef919340169ba8458556481949356830a9d1bc0ad"
is_byokfalse
latency197
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-1773831256-rCswZkiwfMkdOKyGOqFx"
upstream_id"resp_0c4e3b313ef919340169ba8458556481949356830a9d1bc0ad"
total_cost0.001413
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
68.10% Matches word count n/a
neededCleanfalse
words214
0.08% Dialogue to Total Word Ratio
Ratio: 66.36%, Deviation: 16.36%
neededCleanfalse
wordsTotal214
wordsDialogue142
34.0902%