Run: 2026-09-23-01M37J0CM6DF01TPE6NK9S3NHQ

Run Details

Duration:
16.1s
Cost:
$0.006852
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
45.2421% 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

AI
Molly spread a crayon drawing across the café table. It showed a square house, a triangular roof, and seventeen stick figures, each clutching what looked like a tiny refrigerator. “Those are presents,” she told Bill. “I assumed they were extremely successful children.” “Birthday party. Saturday, two o’clock. Front room for games, back room for cake. Presents on the dining table.” Bill studied the drawing. “Who made this?” “My nephew. He was promised five dollars and a balloon.” “You paid for intelligence with a balloon?” “The balloon was for me.” Outside, rain stitched silver lines down the café window. Inside, Bill slid his mug aside and unrolled a second document: a napkin covered in arrows. “Operation Birthday Surprise,” he said. Molly frowned. “That sounds like we’re delivering a surprise.” “We are. A terrible one.” “We need a better name.” “Operation All the Presents?” “Too obvious.” “Operation Most of the Presents?” “Bill.” He tapped his napkin. “We enter dressed as entertainers. I’ve acquired a magician’s cape, a collapsible top hat, and three rubber chickens.” “Why three?” “One’s a decoy.” Molly took a slow breath. Their last job had ended with Bill trapped inside a vending machine after mistaking the returns slot for a service hatch. She had promised herself she’d work alone. Then she’d remembered he owned a van. “Can you actually do magic?” she asked. “I can produce a coin from behind someone’s ear.” “Can you make thirty-seven wrapped boxes disappear?” “That depends how large the ear is.” A waitress arrived with two slices of pie. Bill covered the napkin with his elbow until she left, although the words STEAL PRESENTS were visible above it in blue ink. Molly turned the crayon drawing around. “There’s a problem. My nephew says every adult gets a name tag. His mother checks people at the door.” “Fine. We’ll be Uncle Bill and Aunt Molly.” “She knows me.” “Then I’ll be Uncle Bill and you’ll be someone else.” “The magician’s assistant?” “The magician’s accountant.” Molly looked at him. “Children need financial literacy,” Bill said. At the next table, an actual child watched them over a glass of milk. Molly folded the drawing. The child waved. On his wrist was a bright paper bracelet reading HAPPY BIRTHDAY, LEO. Molly’s stomach sank. “That’s the birthday boy.” Bill turned. Leo smiled, milk moustache gleaming, and raised a toy walkie-talkie. A tinny voice crackled from it. “Agent Leo, have you found the balloon lady?” Leo pressed the button. “Yes, Mum. She’s with a man who has chickens.” Bill stared at the bag beside his chair. One rubber beak poked through the zipper. Molly stood, leaving her pie untouched. “Change of plan.” “Escape through the kitchen?” “Buy a present.” Bill glanced at Leo, who was still watching. “And the chickens?” “Wrap them. All three.” Leo grinned as Molly headed for the counter. Behind her, Bill checked the price on the pie, then quietly slid one rubber chicken beneath his cape.
created_at"2026-09-23T16:36:28.949Z" 9/23/2026, 4:36:28 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3431
moderation_latency(null)
generation_time16022
tokens_prompt75
tokens_completion843
native_tokens_prompt66
native_tokens_completion672
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
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usage0.006852
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
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request_id"req-1790181388-CsEi1SLUDcH26WR3XY1o"
session_id(null)
preset_id(null)
api_type"completions"
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provider_responses
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id"resp_0dbfbd8abd05920a016ab4000d1c3887d1ac3303d2eb0477b3"
is_byokfalse
latency1463
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.006852
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
90.48% Matches word count n/a
neededCleanfalse
words490
0.00% Dialogue to Total Word Ratio
Ratio: 45.73%, Deviation: 15.73%
neededCleanfalse
wordsTotal492
wordsDialogue225
45.2421%