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Run: 2026-07-09-01KX40N3017P5N8DJWABGCPHWJ
Run Details
Model:
GPT-5.6 Sol
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
21.8s
Cost:
$0.028620
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
11.18%
Dialogue to Total Word Ratio
(details)
5.5901%
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 crayon-blue blueprint across the café table and pinned each corner with a sugar packet. Outside, rain polished the pavement. Inside, an espresso machine hissed like an accomplice with asthma. “Target: number forty-two, Daffodil Crescent,” she said. “Birthday party. Saturday. Fourteen hundred hours.” Bill squinted at the drawing. “That’s a napkin.” “It’s a tactical napkin.” “You’ve drawn the house in purple.” “Purple was available.” “And that’s a dinosaur.” “That is the birthday entertainer. Mr. Chomps.” Bill leaned closer. The dinosaur had eyelashes, six legs, and a handbag. He decided not to mention any of them. Molly became defensive about reconnaissance art. “The presents are here,” she said, tapping a lopsided square. “Conservatory. Stacked beside the balloon arch.” “How many?” “Twenty-three, maybe twenty-four.” “Good haul?” “Remote-control cars. Building sets. A junior microscope. One suspiciously large box from Grandma.” Bill whistled. “Bicycle?” “Possibly. Could be a drum kit.” “Then we leave it.” They contemplated the horror of stealing a drum kit. Around them, respectable people ate respectable muffins. Molly wore black gloves, a black coat, and a black woollen hat despite the café’s tropical heating. Bill wore an orange boiler suit bearing the words HAPPY BADGER PARTY SERVICES. Molly frowned at him. “Explain the badger.” “Our cover. We’re entertainers.” “We agreed on caterers.” “You can’t cater without sandwiches.” “You can’t entertain without talent.” Bill looked wounded. “I juggle.” “You drop three objects in sequence.” “With rhythm.” Molly slid a photograph across the table. It showed a garden crowded with folding chairs, bunting, and a bouncy castle shaped like a pirate ship. A tiny child stood at the wheel, wearing an expression of absolute command. “That’s Archie,” Molly said. “Six years old. Hostile, observant, sticky.” “He’s six.” “He spotted me behind the hedge.” “What did you do?” “Pretended to be a surveyor.” “Did he believe you?” “He asked to see my theodolite.” Bill shuddered. Professionals feared professionals. The plan was simple by Molly’s standards, meaning it required two disguises, a smoke machine, and an emergency ferret. Bill would arrive as Bongo Badger, replacement entertainer. Molly would enter through the side gate during the conga line, reach the conservatory, and load the presents into laundry sacks. Then they would escape in the catering van parked outside. “There isn’t a catering van,” Bill said. “There will be.” “Are we stealing one?” “Borrowing.” “From whom?” “The caterers.” Bill rubbed his forehead. “And the ferret?” “Diversion.” “How?” “I release him into the magician’s trousers.” “Whose ferret is he?” “Yours.” “I don’t own a ferret.” Molly stared at him. Bill stared back. Beneath the table, something scratched inside Molly’s handbag. “No,” Bill said. The handbag squeaked. “His name is Trevor.” “Absolutely not.” “He’s trained.” “To do what?” At that moment Trevor erupted from the bag, shot across the table, dragged the napkin blueprint into the sugar bowl, and vanished beneath a businessman’s chair. The businessman screamed. Three muffins became airborne. Molly calmly sipped her tea. Bill watched Trevor race past the counter wearing the tactical napkin like a cape. “Trained,” Molly repeated, “to create diversions.” By the time they recovered him, the blueprint was soggy, the café manager was furious, and Bill’s boiler suit had gained a ferret-shaped tear. Molly considered the rehearsal highly successful. On Saturday, they arrived at Daffodil Crescent precisely at two. The pirate ship bounced above the hedges. Children shrieked. Balloons escaped into the clouds. Molly adjusted Bill’s badger head. “Remember,” she said, “keep them occupied.” “What if they demand juggling?” “Use soft objects.” “What if Archie recognizes you?” “I brought a theodolite.” Bill sighed inside the costume. Trevor chirped from Molly’s satchel. The front door opened. Archie stood there, holding a clipboard. “You’re late,” he said. “And Bongo Badger is already here.” Behind him, another orange badger waved cheerfully. Molly smiled. “Excellent,” she whispered. “A hostage.”
created_at
"2026-07-09T18:01:18.601Z"
7/9/2026, 6:01:18 PM
model
"openai/gpt-5.6-sol-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1478
moderation_latency
(null)
generation_time
21709
tokens_prompt
77
tokens_completion
1290
native_tokens_prompt
66
native_tokens_completion
943
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
0.02862
router
(null)
provider_responses
0
endpoint_id
"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id
"resp_0459cd14ee4076f3016a4fe1eeaac48193a57f68b0973bddd7"
is_byok
false
latency
209
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-1783620078-WMPkTvt71d1knOlzFbUV"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783620078-VkednsQMqiItfZ6vgXjv"
upstream_id
"resp_0459cd14ee4076f3016a4fe1eeaac48193a57f68b0973bddd7"
total_cost
0.02862
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
635
11.18%
Dialogue to Total Word Ratio
Ratio: 36.62%, Deviation: 6.62%
neededClean
false
wordsTotal
639
wordsDialogue
234
5.5901%