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Run: 2026-03-09-01KKACDBWJBT38MSMP1PGZ626J
Run Details
Model:
GPT-5.4 (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
28.0s
Cost:
$0.015375
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.01%
Dialogue to Total Word Ratio
(details)
0.0042%
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
“Tell me again,” said Molly, flattening a crumpled napkin over the café table, “why we are robbing a children’s party.” Bill leaned in, solemn as a bishop over battle plans. “Because, Molly, no one expects professionalism at a magician’s bungalow. They expect balloons, cake, and a man pulling scarves out of his sleeve. They do not expect us.” “I expect us,” said Molly. “And I’m already disappointed.” Bill tapped the napkin map. “Observe. Garden gate here. Bouncy castle here. Gift table here, under the gazebo, stacked to a frankly insulting height. We enter as entertainers.” “We are not entertainers.” “We have entertained each other for years.” “That was not entertainment. That was surviving your ideas.” Bill ignored her. “I’ll be Captain Wonderwhistle, a beloved pirate uncle. You’ll be Madame Sprinkle, face painter to the stars.” “I have the artistic instincts of a shovel.” “Children can’t tell. Put a blue streak on a cheek, call it a dolphin, collect applause.” Molly sipped her tea. “And then what? We paint a few alarming butterflies and casually leave with forty-seven presents wrapped in dinosaur paper?” “Forty-three,” said Bill. “I counted from the hedge.” “You did reconnaissance from a hedge?” “A hydrangea, technically. Thorny but discreet.” Molly pinched the bridge of her nose. “Bill, presents are not coins. They are large, noisy, and often shaped like spaceships.” “That is why phase two is essential. Diversion.” “Which is?” “A puppet incident.” She stared at him. “No.” “Yes. I produce Mr. Snuffles, my ventriloquist fox. Mr. Snuffles develops strong opinions about vegetables. The children riot. The parents intervene. During the chaos, you wheel the gifts to the van.” “There are holes in this plan.” “Air holes?” “Several criminal holes. First, why do you own a ventriloquist fox?” “Found him after a wedding job.” “You’ve done wedding jobs?” “I’ve attended weddings with initiative.” Molly laughed despite herself. “Second, where am I getting a trolley?” “From the caterers. Every party has one.” “You’re assuming a lot.” “I’m a man of faith.” “You’re a man banned from three county fairs.” “Those were misunderstandings involving a coconut shy and municipal geese.” Molly leaned over the napkin. “Listen. If this lunacy happens at all, we do it properly. No pirate uncle. No fox with political views. We go in as parents.” Bill blinked. “Respectable?” “Terrifyingly. You wear a polo shirt.” “I’d rather be arrested.” “You may be, but in a polo shirt. I’ll carry a gift bag so we blend in. We mingle, praise the cake, ask whose child is which, and identify the softest exit.” Bill considered. “That’s cold.” “It’s called competence.” “And the presents?” “We don’t take all of them at once. That’s greed, and greed gets one trapped in a shrubbery. We peel off the expensive-looking ones. Rectangular. Branded paper. Anything making electronic promises.” Bill looked offended. “I had my heart set on all of them.” “Children do that too,” said Molly. “Difference is they’re six.” He drummed his fingers. “Counterpoint. Taking only some creates confusion. Taking all creates legend.” “Legend gets headlines.” “Heist thrives on mythology.” “Heist thrives on not being recognized by a clown making balloon giraffes.” Bill grinned. “What if I am the clown?” “Then I leave without you.” He sat back, wounded. “You never support my self-expression.” “I support your continued liberty. Barely.” She folded the napkin into quarters. “What time?” “Half two. Cake at three. Tears by quarter past.” “Yours or the children’s?” “Dealer’s choice.” Molly stood and slipped on her coat. “Fine. Parents, not entertainers. Selective lifting, not festive pillaging. No puppets.” Bill rose too, brightening. “Can Mr. Snuffles wait in the van for morale?” “No.” “For ventilation?” “No.” “For emotional support?” She headed for the door. “Bill, if that fox appears within twenty feet of a pinata, I’m stealing the van and leaving you to explain yourself to a room full of furious mothers.” Bill followed, delighted. “So we’re agreed.” “We’re appallingly agreed.” He opened the door with a flourish. “Ah, Molly. Another elegant descent into disgrace.” She stepped into the rain. “Just once, I’d like a job where the loot isn’t wrapped in glitter.”
created_at
"2026-03-09T22:45:16.828Z"
3/9/2026, 10:45:16 PM
model
"openai/gpt-5.4-20260305"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3515
moderation_latency
(null)
generation_time
27807
tokens_prompt
77
tokens_completion
1413
native_tokens_prompt
66
native_tokens_completion
1014
native_tokens_completion_images
0
native_tokens_reasoning
20
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
0.015375
router
(null)
provider_responses
0
endpoint_id
"9ff5625c-403f-4d7f-b895-58ac7295062c"
id
"resp_09d873a8a7b7fc4d0169af4d7cf51c8193a76b8124ca421df8"
is_byok
false
latency
209
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-1773096316-JtC0DXMgcvmBCyute77X"
upstream_id
"resp_09d873a8a7b7fc4d0169af4d7cf51c8193a76b8124ca421df8"
total_cost
0.015375
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
684
0.01%
Dialogue to Total Word Ratio
Ratio: 83.70%, Deviation: 13.70%
neededClean
false
wordsTotal
687
wordsDialogue
575
0.0042%