Run: 2026-07-09-01KX40BJ4280K0VPM5PNNWQT0P

Run Details

Duration:
21.6s
Cost:
$0.031170
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0021% 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

AI
Molly spread the crayon map across the café table. “The party begins at two. Twelve children, eighteen adults, one magician, and approximately forty-seven presents.” Bill squinted at the drawing. “Why is the house purple?” “I borrowed the map from the birthday girl.” “You interviewed the target?” “She was feeding ducks.” “Did she suspect anything?” “She’s six, Bill. She suspected I was a mermaid.” “Are you?” “Focus.” “All right. We enter through the kitchen disguised as caterers.” “There are no caterers. It’s a budget party.” “Magician’s assistants?” “The magician works alone.” “Clowns?” “Absolutely not.” “Why?” “Clowns attract scrutiny.” “Clowns attract screaming. Screaming provides cover.” Molly tapped the map. “We go in as parents.” Bill stared at her. “Whose parents?” “Each other’s.” “That’s not how parents work.” “It is in several confusing families.” A waiter placed two coffees between them. Bill waited until he left, then whispered, “What are we stealing?” “All the presents.” “Yes, but what’s in them?” “Toys. Games. Possibly cash from lazy grandparents.” “Risky. Could be socks.” “Children don’t wrap socks in dinosaur paper.” “My aunt did.” “Your aunt sent you birthday socks?” “She said disappointment built character.” “It built you, certainly.” Bill examined the crayon map again. “Where are the presents?” “Dining room, beside the cake.” “The cake complicates matters.” “Because?” “I love cake.” “You cannot eat evidence.” “Cake isn’t evidence.” “Your moustache covered in blue icing would be.” “I can shave.” “Beforehand.” “That seems extreme.” Molly lowered her voice. “At two-fifteen, the magician starts. Everyone faces the garden. We slip into the dining room, load the presents into laundry sacks, and leave through the side door.” “Why laundry sacks?” “Festive efficiency.” “What if a child sees us?” “Tell them we’re Santa’s quality-control officers.” “In April?” “Santa plans ahead.” “Children ask questions.” “Then distract them.” “With what?” “Balloon animals.” “I can’t make balloon animals.” “You once made a giraffe.” “That was a plumbing accident.” Outside, a bus hissed to a stop. Molly folded the map, but Bill pinned one corner. “Security?” “One golden retriever.” “Bribable?” “Cheese-based morality.” “Excellent. Alarms?” “Motion sensor in the hall.” “How do we avoid it?” “We don’t. It’s a nightlight shaped like a moon.” “Then why mention it?” “To keep you alert.” “I’m extremely alert.” “You put sugar in the saltshaker.” “I was testing you.” “You salted your coffee.” “I was testing myself.” Molly retrieved a photograph. “This is the birthday boy’s father. Avoid him.” Bill studied it. “He looks familiar.” “He’s a police inspector.” Bill pushed back his chair. “New plan: we don’t rob the party.” “He’s off duty.” “He remains a police inspector recreationally.” “He’ll be watching the magician.” “Unless the magician is also a thief.” “He isn’t.” “How do you know?” “I checked the guild.” “There’s a thieves’ guild?” “Magicians’ guild.” “Less reassuring.” Molly slid him a second photograph. Bill groaned. “What now?” “The magician?” “Your brother.” “He owes me money.” “So this is personal.” “This is accounting.” “And the presents?” “Collateral whimsy.” Bill drained his salted coffee and shuddered. “Suppose we succeed. How do we divide the loot?” “Fifty-fifty.” “I want first choice.” “No.” “I need something for my nephew.” “You don’t have a nephew.” “I may acquire one.” “You cannot steal a child.” “I meant by marriage.” “You’re unmarried.” “I plan ahead. Like Santa.” Molly stood and buttoned her coat. “Meet me at the corner at one-fifty. Wear something parental.” “What does that mean?” “Cardigan. Tired eyes. Crumbs.” “I can manage crumbs.” “No weapons.” “Not even the umbrella pistol?” “Especially not the umbrella pistol.” “It only fires confetti.” “It fired a fork last Tuesday.” “The fork was already inside.” “Bill.” “Fine. No weapons. Can I bring wrapping paper?” “Why?” “If we’re caught, we say we’re delivering presents.” “That is almost intelligent.” “Thank you.” “Except we’ll be carrying them out.” Bill paused. “We say they’re returns.” “All forty-seven?” “Children are notoriously dissatisfied.” Molly headed for the door. Bill hurried after her. “One final question.” “What?” “Can we keep the cake?” “No.” “Half the cake?” “No.” “A slice?” “Only if we escape unseen.” Bill grinned. “At last, a motive.”
created_at"2026-07-09T17:56:06.411Z" 7/9/2026, 5:56:06 PM
model"openai/gpt-5.6-sol-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency796
moderation_latency(null)
generation_time21466
tokens_prompt77
tokens_completion1560
native_tokens_prompt66
native_tokens_completion1028
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.03117
router(null)
provider_responses
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endpoint_id"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id"resp_094d84fca55149fa016a4fe0b67a3c8195bd6d1fa9a12de48e"
is_byokfalse
latency199
model_permaslug"openai/gpt-5.6-sol-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619766-letnYzBpVwdSz8WhhH4L"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619766-jf8wvEe45tojsEMegqWV"
upstream_id"resp_094d84fca55149fa016a4fe0b67a3c8195bd6d1fa9a12de48e"
total_cost0.03117
cache_discount(null)
upstream_inference_cost0
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
neededCleanfalse
words678
0.00% Dialogue to Total Word Ratio
Ratio: 84.19%, Deviation: 14.19%
neededCleanfalse
wordsTotal683
wordsDialogue575
0.0021%