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Run: 2026-03-18-01KM08WHRDVK4VWJ6NKN587GF0
Run Details
Model:
GPT-5.4 Nano
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
439
moderation_latency
(null)
generation_time
2068
tokens_prompt
77
tokens_completion
398
native_tokens_prompt
66
native_tokens_completion
358
native_tokens_completion_images
0
native_tokens_reasoning
0
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
usage
0.0004607
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_0bcc0643832e44150169ba82a1a1f8819680791a0fa8c7dbcd"
is_byok
false
latency
180
model_permaslug
"openai/gpt-5.4-nano-20260317"
provider_name
"OpenAI"
status
200
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_cost
0.0004607
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
60.28%
Matches word count
n/a
neededClean
false
words
215
0.00%
Dialogue to Total Word Ratio
Ratio: 76.85%, Deviation: 26.85%
neededClean
false
wordsTotal
216
wordsDialogue
166
30.1376%