NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-03-09-01KK9QR5CVT275H7G7T2HT9AHB
Run Details
Model:
GPT-5.4 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
32.6s
Cost:
$0.016305
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.63%
Dialogue to Total Word Ratio
(details)
0.3173%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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
Rain tapped politely at the bakery window, as if asking permission to come in and ruin the icing roses. Molly and Bill sat in the last booth beneath a mural of smiling cupcakes, studying a hand-drawn map that looked less like a criminal enterprise and more like a disappointed octopus. The target was Number 14, a detached house with a trampoline, three plastic flamingos, and, according to Bill’s intelligence, enough wrapped gifts to restock a department store. Somewhere inside, a seven-year-old named Oliver was turning eight, and the adults were preparing a party with the military discipline of people who had once underestimated children and paid for it in carpet stains. Molly adjusted her spectacles, which she wore for effect rather than vision. She thought spectacles made any wicked plan appear academic. “Let’s begin with the obvious,” she said. “Balloons are not security.” Bill, who was spooning custard into his mouth with devotional concentration, nodded. “Agreed. But they do suggest cake, and cake suggests distraction.” “Everything suggests cake to you.” “That’s because cake is central to society.” She slid the map toward him. “The presents will be stacked in the sitting room, under the window. Parents arrive, deposit their parcels, apologise for glitter, and drift toward weak coffee. We enter during peak chaos.” Bill squinted. “Peak chaos being when?” “When the magician loses control of a dove, or one child announces he feels sick. Possibly both.” Bill leaned back, considering this with the seriousness of a man choosing a coffin lining. “And our cover?” Molly smiled. “I’ve acquired two aprons and a clipboard. Nobody questions a clipboard. It is the moustache of authority.” He blinked. “We’re caterers?” “No. That would involve carrying food and looking useful. We’re from the entertainment company, here to check balloon integrity.” “Balloon integrity,” Bill repeated. “That’s rubbish.” “Yes,” Molly said, pleased. “Believable rubbish. The best kind.” A toddler at the next table threw a breadstick with sniper-like precision. It struck Bill’s shoulder and fell into his tea. He stared at it, then at the child, who was already eating sugar directly from a paper packet with the calm focus of a dangerous chemist. Bill lowered his voice. “I dislike children.” “You dislike anything under four feet tall that moves unexpectedly.” “That includes terriers and stepladders.” Outside, a van pulled up beside the bakery. On the side was painted Mr. Bongo’s Jolly Jamboree, accompanied by a clown so aggressively cheerful it looked medicinal. Molly followed Bill’s gaze and her eyes brightened. “There’s our miracle.” He turned back to her. “You cannot be suggesting we hide among professional merriment.” “I’m suggesting opportunity has arrived in a red nose.” Bill looked offended on moral grounds he had never previously possessed. “Clowns are lawless.” “Exactly. In that company, we’ll seem restrained.” She folded the map into a neat square. The bakery’s bell jingled; two women entered carrying trays of iced fairy cakes, talking with the glazed panic of people who had been up since dawn attaching tiny flags to cocktail sticks. Bill watched them and sighed. “Tell me one thing,” he said. “Why children’s presents? Why not jewels, bearer bonds, or one of those little dogs rich women carry like a grievance?” Molly glanced toward the rain, where the world looked damp and slightly apologetic. “Because jewels are insured, bonds are traceable, and little dogs bite. Toys vanish into the economy. A train set here, a telescope there, a dinosaur with educational ambitions—by Monday they’ll be in three counties.” Bill considered. “You’ve thought this through.” “I think everything through.” “That,” he said, standing and buttoning his coat, “is what frightens me most.” Molly rose after him, tucking the clipboard under her arm like a magistrate preparing to sentence a town. “Come along. If we’re late, the children will have opened the presents.” Bill shuddered. “Savages.” Together they stepped into the rain, heading for Number 14 and whatever catastrophe a house full of sugar-drunk minors, loose balloons, and two underqualified thieves might reasonably produce.
created_at
"2026-03-09T16:44:10.531Z"
3/9/2026, 4:44:10 PM
model
"openai/gpt-5.4-20260305"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4901
moderation_latency
(null)
generation_time
32553
tokens_prompt
77
tokens_completion
1174
native_tokens_prompt
66
native_tokens_completion
1076
native_tokens_completion_images
0
native_tokens_reasoning
186
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
0.016305
router
(null)
provider_responses
0
endpoint_id
"9ff5625c-403f-4d7f-b895-58ac7295062c"
id
"resp_0e70e4534218bc140169aef8dab83c8196af08127c42f9af34"
is_byok
false
latency
280
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-1773074650-ixtnRpP7skAXhmq3Vkup"
upstream_id
"resp_0e70e4534218bc140169aef8dab83c8196af08127c42f9af34"
total_cost
0.016305
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
665
0.63%
Dialogue to Total Word Ratio
Ratio: 40.06%, Deviation: 10.06%
neededClean
false
wordsTotal
669
wordsDialogue
268
0.3173%