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Run: 2026-07-09-01KX419FYK7CW8CP0MBTCQGJSV
Run Details
Model:
GPT-5.6 Sol
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
17.5s
Cost:
$0.023580
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.06%
Dialogue to Total Word Ratio
(details)
0.0303%
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
Molly spread the blueprints across the café table, pinning each corner with a sugar bowl, a chipped mug, and two muffins she had no intention of eating. Outside, rain polished the street. Inside, Bill wore a paper crown and looked worried. “Why are you wearing that?” “It’s reconnaissance.” “It says Birthday Princess.” “I infiltrated the party shop.” “You bought a crown.” “I learned things.” Molly tapped the blueprint. The house belonged to the Bellington family, whose children’s parties were legendary. Last year, every guest had received a remote-controlled dinosaur. This year, a delivery van had unloaded enough presents to make Christmas file a complaint. “The party starts at two,” Molly said. “Magician at three. Cake at four. During the magician’s finale, everyone watches the rabbit.” “What rabbit?” “The rabbit he produces.” “What if he produces a dove?” “Then everyone watches the dove.” “What if he produces nothing?” “Then he’s not much of a magician.” Bill nodded gravely. A waitress approached, noticed the blueprint labeled OPERATION TINY TREASURE, and retreated without asking whether they wanted refills. Molly traced a route from the garden gate to the playroom. It avoided the kitchen, the parents, and a bouncy castle shaped like a furious octopus. “We enter disguised as entertainers,” she said. “Excellent. I can juggle.” “You can’t juggle.” “I can drop three things rhythmically.” “You’ll be Captain Giggles.” Bill stared at her. “That sounds like a clown.” “It’s an accountant.” “Accountants don’t wear enormous shoes.” “These are changing times.” Molly opened a suitcase beneath the table. Inside sat two rainbow wigs, greasepaint, and trousers large enough to shelter a family of badgers. Bill recoiled. “You said entertainers.” “Clowns entertain.” “Clowns lurk.” “Only the good ones.” Their plan was simple, which worried Molly. Simple plans tended to develop ambitions. They would arrive amid the entertainment staff, wheel empty prop trunks into the playroom, fill them with presents, and depart before cake. Nobody questioned a clown carrying a box. Society had agreed that clowns were already beyond explanation. Bill studied the guest list. “Forty children?” “Forty-two.” “That’s eighty-four sticky hands.” “Don’t touch anything.” “We’re stealing everything.” “Touch selectively.” He turned a page and blanched. “There’s a pony.” “In the garden.” “Ponies know.” “Know what?” “Things. They look at you like disappointed librarians.” Molly folded the blueprints. Across the café, a little boy pointed at Bill’s crown and whispered to his mother. Bill waved regally. “One more issue,” Molly said. “The presents are for children.” “Yes. I’d noticed the toy robots.” “You don’t feel guilty?” Bill considered this while peeling the crown from his forehead. “Not exactly.” “Good.” “I feel pre-guilty. It’s guilt with planning permission.” Molly sighed and reached into the suitcase. Beneath the wigs, she revealed sheets of brightly colored paper. Bill squinted. “What are those?” “Replacement vouchers.” “For what?” “Adventures. One free tree climb. Unlimited puddle jumping. A week without broccoli.” “You’re leaving coupons?” “I’m a thief, not a monster.” Bill smiled. “Can mine say ‘One complimentary pony consultation’?” “No.” The café door opened. A magician entered, carrying a rabbit cage. Molly and Bill ducked beneath the table. The rabbit stared at them. Bill whispered, “It knows.” Molly watched its nose twitch with professional suspicion. “New plan,” she said. “We steal the rabbit first.”
created_at
"2026-07-09T18:12:27.225Z"
7/9/2026, 6:12:27 PM
model
"openai/gpt-5.6-sol-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
699
moderation_latency
(null)
generation_time
17355
tokens_prompt
77
tokens_completion
1099
native_tokens_prompt
66
native_tokens_completion
775
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)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
service_tier
"default"
usage
0.02358
router
(null)
provider_responses
0
endpoint_id
"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id
"resp_0a5dd59894cd50ba016a4fe48b47b081969afcf3d8b1b443c1"
is_byok
false
latency
203
model_permaslug
"openai/gpt-5.6-sol-20260709"
provider_name
"OpenAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1783620747-GvFEkNPOsAJiQRfSYQc2"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783620747-nHHlOfzpKXOGDxJCIGog"
upstream_id
"resp_0a5dd59894cd50ba016a4fe48b47b081969afcf3d8b1b443c1"
total_cost
0.02358
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
541
0.06%
Dialogue to Total Word Ratio
Ratio: 42.17%, Deviation: 12.17%
neededClean
false
wordsTotal
543
wordsDialogue
229
0.0303%