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Run: 2026-03-18-01KM0ARA099AT1XJMMCVJEB3NF
Run Details
Model:
GPT-5.4 Nano (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
7.2s
Cost:
$0.001767
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.39%
Dialogue to Total Word Ratio
(details)
0.1930%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 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 crouched behind a lilac bush that smelled like soap and bad decisions. Across the street, a balloon arch bobbed like it was trying to escape. “Okay,” she whispered, flipping open a tiny blueprint that was mostly doodles and glitter. “We go in, we take the presents, we leave. Simple.” Bill leaned against the fence, peering through a crack in the hedges. “Simple,” he repeated, like he was testing the word for weakness. “And by ‘we,’ you mean me doing the heavy lifting, and you doing the… interpretive crime.” Molly pointed at him. “I do the brains. You do the… bones.” She traced a line on the blueprint. “House has a front window with a motion sensor. Side door is decorative but not decorative enough.” Bill made a face. “Decorative enough is my brand. People expect me to be decorative. Like a statue that steals.” “Statues don’t get away with anything,” Molly said. “They get dusted. Now listen. Kids’ party means two things: sugar and witnesses. Sugar witnesses are unpredictable. We must move like accountants.” Bill adjusted his gloves. “I can do accountant. I once audited a carnival. The funnel cake filed a report.” Molly snorted. “No jokes. We’re stealing all the presents.” Bill’s eyes widened in happy horror. “All of them? That’s bold. That’s like stealing a rainbow and calling it inventory.” Molly leaned closer. “It’s not called inventory. It’s called ‘my plan.’ Now: we start with the living room. I saw the tree in the window. There will be a pile. Wrap on top, receipt underneath. We’re going to take the wrapped gifts and leave the receipts so the parents don’t know how terrible we are.” Bill blinked. “You’re giving them hope. That’s cruel.” “I’m giving them plausible deniability,” Molly corrected. “Parents always want reasons. ‘We were hacked’ is better than ‘we met two goblins with tape.’” Bill nodded solemnly, then immediately failed at solemnity. “Okay, team goblin. How do we enter?” Molly tapped the side of the blueprint. “You’ll handle the latch. I’ll handle the, uh, distraction.” Bill lifted a small canister. “You mean the smoke bomb shaped like a teddy bear?” Molly tried to look offended. “It’s not a smoke bomb. It’s… a surprise puff. For the party. Like confetti, but with less optimism.” Bill rolled his shoulders. “You’re going to set off a teddy bear cloud at a children’s party.” Molly smiled sweetly. “Not at the party. Near the party. The party is outside. We’re just outside of the party. Legally, it counts.” Bill stared at the canister. “Legally, I’m pretty sure everything counts as a crime if you’re holding a cloud teddy.” Molly grabbed his sleeve and guided him toward the side yard. “Bill. Trust the process. Remember: no violence. No alarms. No sticky fingers. Unless they’re ours.” Bill followed, whispering, “I’m sticky-finger adjacent. I specialize in noncommittal fingerprints.” Molly crouched at the side door, studying the lock like it owed her money. “Ready?” Bill pulled a lockpick kit from his coat with the confidence of a man who had never been arrested. “Born ready. Also, faintly anxious. Like a baby giraffe in a courtroom.” Molly slid the pick in. “Don’t talk while I’m working.” Bill immediately whispered, “What if it goes wrong?” Molly paused, then said, “Then we do not panic. We improvise.” Bill’s face lit up. “Improvising is my love language.” Molly turned her head just enough to glare. “Improvising is your talent. It is also your downfall.” The lock clicked. The door handle gave a reluctant sigh, like it had to agree to something it didn’t believe in. Bill grinned. “Hear that? That’s the sound of justice… being inconvenienced.” Molly pushed the door open with careful stealth. “Shh. Inside, we walk normal.” Bill stepped in, already lowering his voice to a hush that sounded like performance. “Normal thieves. Like we belong. Like we’re… gift consultants.” Molly followed, whispering, “Gift consultants don’t wear ski masks.” Bill patted his mask. “This is my ‘professionalism’ mask. It says, ‘I’m here to save you from buying a thousand batteries.’” Molly shook her head and held up the blueprint like a holy document. “Okay, consultants. Stage one: locate the present pile. Stage two: collect the loot. Stage three: exit before any child notices we have the vibe of small, doomed villains.” Bill took one step deeper into the living room darkness. “Molly,” he whispered, “do you think the presents have names?” Molly listened. Somewhere inside, a laugh track played—either a cartoon or a parent’s TV mischief. “Everything has names,” she whispered. “Even trouble.” Bill swallowed a chuckle. “So which one are we stealing first?” Molly lifted her flashlight, aiming it toward the glowing tree. “The biggest box,” she said. “If it’s heavy, it’s probably fun. And if it’s wrapped, it’s definitely mine.” Bill’s grin returned, unstoppable. “Okay. I’ll carry the fun. You handle the mine.”
created_at
"2026-03-18T11:19:35.701Z"
3/18/2026, 11:19:35 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3143
moderation_latency
(null)
generation_time
6752
tokens_prompt
77
tokens_completion
1512
native_tokens_prompt
66
native_tokens_completion
1403
native_tokens_completion_images
0
native_tokens_reasoning
238
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
0.00176695
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_0b8a49489f09bacc0169ba8a47c3b081969ebed656ae792126"
is_byok
false
latency
205
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-1773832775-506dGkr0u38P9w9hWt8e"
upstream_id
"resp_0b8a49489f09bacc0169ba8a47c3b081969ebed656ae792126"
total_cost
0.00176695
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
810
0.39%
Dialogue to Total Word Ratio
Ratio: 60.54%, Deviation: 10.54%
neededClean
false
wordsTotal
811
wordsDialogue
491
0.1930%