Run: 2026-03-18-01KM08WHRDVK4VWJ6NKN587GF0

Run Details

Duration:
2.2s
Cost:
$0.000461
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
60.28% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
30.1376% 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 adjusted her fake mustache and whispered, “Bill, if this goes wrong, I’m buying you a clown car as apology.” Bill checked the toolbox and said, “Relax. We’re professionals. Their security is probably a sticker on the door.” Molly grinned, “Stickers are basically lasers. Remember the time we replaced the principal’s stapler with a decoy?” Bill shrugged, “That stapler never came back. Now, listen—no stealing until the piñata is distracted.” Molly leaned toward him, “I can distract. I’ll do the squeaky-robot routine.” Bill frowned, “You squeak like a dying mouse.” Molly waved a hand, “A dying mouse is still a mouse. Kids love it.” Bill nodded, “Fine. You lure. I pick the lock. Then we collect every gift, even the socks. Sock theft is the king’s language.” Molly whispered, “Socks? That’s cold. Like freezer aisles.” Bill said, “Cold is efficient. Also, I heard the presents are under a giant inflatable dragon.” Molly’s eyes widened, “An inflatable dragon means inflated security.” Bill smiled, “Exactly why we deflate it—politely.” Molly muttered, “How do you deflate an inflatable dragon politely?” Bill replied, “With zip ties and compliments. ‘Nice party, sir.’” Molly laughed, “You’re weird.” Bill said, “It’s called craftsmanship. Okay—count down.” Molly inhaled, “Three, two—” Bill hissed, “One. If a birthday hat falls, we run.”
created_at"2026-03-18T10:46:57.563Z" 3/18/2026, 10:46:57 AM
model"openai/gpt-5.4-nano-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency439
moderation_latency(null)
generation_time2068
tokens_prompt77
tokens_completion398
native_tokens_prompt66
native_tokens_completion358
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"
usage0.0004607
router(null)
provider_responses
0
endpoint_id"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id"resp_0bcc0643832e44150169ba82a1a1f8819680791a0fa8c7dbcd"
is_byokfalse
latency180
model_permaslug"openai/gpt-5.4-nano-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-1773830817-6IJewELjuBZW0xu9UrbP"
upstream_id"resp_0bcc0643832e44150169ba82a1a1f8819680791a0fa8c7dbcd"
total_cost0.0004607
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
60.28% Matches word count n/a
neededCleanfalse
words215
0.00% Dialogue to Total Word Ratio
Ratio: 76.85%, Deviation: 26.85%
neededCleanfalse
wordsTotal216
wordsDialogue166
30.1376%