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Run: 2026-03-06-01KK1HQ81QWABWMC6Q3BYB00KN
Run Details
Model:
GPT-5.4 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
29.0s
Cost:
$0.014355
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
0.0012%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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
“Bill, explain to me again,” Molly said, balancing a crayon-colored invitation on two gloved fingers, “why we are robbing a six-year-old.” “Correction,” Bill said, pouring tea into a mug that read WORLD’S BEST UNCLE in chipped blue letters, “we are not robbing a six-year-old. We are liberating a concentrated parcel depot operating under the flimsy legal disguise of a birthday party.” “In a church hall.” “The best kind of parcel depot. Folding tables, one entrance, icing-based distractions.” Molly squinted at the invitation. “Pirate theme. Balloons. Magic show at three. Cake at four. Presents ‘to be placed under the treasure table.’ They’ve made us a floor plan.” Bill leaned over the kitchen table and tapped the card. “Exactly. Treasure table by the far wall. Parents clustered near the tea urn. Children in a sugar frenzy circling clockwise.” “You’ve thought about the circling direction.” “I’ve observed children. They never move logically. But if there’s a clown, they drift left. If there’s a magician, they compress toward the stage like panicked sheep in tiny cardigans.” Molly folded her arms. “This is low, Bill.” “It is efficient,” Bill said. “Also, there may be a remote-control dinosaur.” “You can’t know that.” “I can feel it. Birthday economics. At least one educational toy no child wants, three loud plastic crimes against batteries, and one deluxe item from a divorced relative attempting reconciliation.” Molly sat down. “Fine. Talk me through it.” Bill brightened. “Disguises first.” “No.” “Essential.” “No clown shoes. No balloon apron. Last time you disguised yourself as a face painter, you gave a banker whiskers and we had to leave Bristol.” “That banker looked improved. Anyway, this time we go elegant. Harried adults. You as the aunt who’s done too much. Me as the uncle nobody remembers inviting.” “That’s not a disguise, Bill. That’s your natural aura.” “Thank you. We arrive separately. You carry a large tote bag with tissue paper sticking out.” “So I look gift-adjacent.” “Exactly. I drift to the refreshment area, establish myself by complaining about parking and asking whose child is whose.” “That works disgustingly well on parents.” “While they explain family trees nobody believes, you make for the treasure table.” “And then what? Sweep an entire mountain of wrapped boxes into a sack while thirty children scream ‘pirates’ at my ankles?” “Not sweep. Curate. We remove in waves.” Molly pointed at him. “That’s the first clever thing you’ve said.” “I save them for jobs. Wave one: the premium rectangles. Board games, electronics, suspiciously heavy parcels.” “Wave two?” “The soft packages. Likely clothing. We leave those.” “We are not stealing socks from a child, Bill.” “I have standards.” Molly nodded slowly. “Exit route?” “Fire door by the craft station.” “There’ll be glue.” “There is always glue.” “And if someone stops us?” Bill spread his hands. “‘Oh, these? Car to unload. Nan overbought again.’ Say it with weary love and mild resentment. Nobody questions family resentment.” Molly snorted. “You really have done this before.” “At weddings,” Bill said. “Same emotional weather, better napkins.” She looked back at the invitation. “There’s a magician.” Bill grinned. “Best news yet. During the finale, every head in the room tilts the same direction. Humans are geese in party hats.” “What if the birthday child notices?” “Then we improvise. I cry.” “You cry?” “I’m excellent under pressure. Moist eyes, trembling chin, mutter something about ‘your grandmother wanted you to have these later.’” “That is appalling.” “That is effective.” Molly stood and tucked the invitation into her coat. “One condition.” “Name it.” “If there is a remote-control dinosaur, we keep it.” Bill placed a hand over his heart. “Molly, I thought you’d never ask.” “And no stealing anything handmade.” “Agreed. Glitter is impossible to fence.” She headed for the door. “Meet at half two. Bring neutral wrapping paper in case we need to re-gift the evidence.” Bill called after her, “And Molly?” “What?” “If there’s a piñata, we leave before the bat comes out.” She smiled despite herself. “For once, Bill, that sounds less like strategy and more like wisdom.”
created_at
"2026-03-06T12:24:53.567Z"
3/6/2026, 12:24:53 PM
model
"openai/gpt-5.4-20260305"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
816
moderation_latency
(null)
generation_time
28933
tokens_prompt
77
tokens_completion
1264
native_tokens_prompt
66
native_tokens_completion
946
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
0.014355
router
(null)
provider_responses
0
endpoint_id
"9ff5625c-403f-4d7f-b895-58ac7295062c"
id
"resp_069accb86df482160169aac795ae048195873db3f925a25a1e"
is_byok
false
latency
397
model_permaslug
"openai/gpt-5.4-20260305"
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-1772799893-VvQ5cdkB8rEK46HlySbw"
upstream_id
"resp_069accb86df482160169aac795ae048195873db3f925a25a1e"
total_cost
0.014355
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
672
0.00%
Dialogue to Total Word Ratio
Ratio: 84.58%, Deviation: 14.58%
neededClean
false
wordsTotal
681
wordsDialogue
576
0.0012%