Run: 2026-10-13-01M4TATMN8VF48V598J0X27PJX

Run Details

Duration:
25.1s
Cost:
$0.083472
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9920% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 50% 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 crouched behind the garden hedge, peering through binoculars at the bright balloons bobbing above the crowded backyard fence. “We hit the party at noon, when the cake arrives and everyone turns toward the kitchen door,” she whispered, adjusting her ridiculous clown wig. Bill scratched his chin and studied the crumpled map spread across the damp grass between them. “I still think the bouncy castle entrance is safer than the side gate with the noisy latch,” he muttered, tapping one muddy boot nervously against the hedge. Molly rolled her eyes and pointed toward the gift table piled high with shiny wrapped boxes. “Look at that tower, Bill. Ribbons, bows, and probably three bikes hidden under all that glittering paper.” Bill shook his head slowly, watching a small child chase another child with a water pistol. “I agreed to steal presents, Molly, not to dodge armed toddlers soaking every adult in sight today.” Molly grinned and pulled two empty sacks from her backpack, shaking them open with theatrical flourish. “Relax. We dress as entertainers, juggle three oranges, and everyone claps while you quietly load the sacks.” Bill frowned at the oranges rolling around inside her backpack beside rope, tape, gloves, and sandwiches. “Why do we have sandwiches hidden between the rope and the suspiciously professional lockpicking kit again exactly?” Molly shrugged innocently and handed him a cheese sandwich wrapped neatly in brown paper. “Because crime makes me hungry, and you get grumpy, reckless, and loud whenever your stomach starts rumbling.” Bill took a reluctant bite, chewed thoughtfully, and nodded toward the house where music suddenly blasted louder. “Fine, I enter first, distract the parents with balloon animals, and you sneak behind the gift table.” Molly shook her head firmly and wagged one finger under his nose like a stern teacher. “No, you are terrible at balloon animals. Your dogs look like sausages, and your giraffes look haunted.” Bill clutched his chest dramatically, pretending deep offense while secretly agreeing because every previous attempt had failed miserably. “My giraffe was artistic, Molly. The children screamed because they felt overwhelming emotion, not absolute terror.” Molly unfolded the map again and traced their route with a crayon stolen from a restaurant. “You make balloons near the drinks. I slip inside, grab boxes, and pass them through the hedge.” Bill peered again at the backyard, counting adults, children, dogs, gates, windows, and one extremely suspicious grandmother. “That grandmother has watched us for ten minutes. I swear she knows exactly what we are planning.” Molly waved cheerfully at the grandmother, who waved back slowly without blinking or smiling once. “Perfect. She thinks we are early entertainers. Confidence sells the disguise, Bill, so stop looking guilty.” Bill straightened his bowtie, practiced a cheerful smile, and immediately stepped backward into a muddy puddle. “Then we run straight to the van, drive beyond the river, and never juggle another orange again.” Molly nodded, checking her watch carefully. “We move in five minutes. Grab ribbons first, smile constantly, and absolutely no stealing cake.”
created_at"2026-10-13T09:52:16.564Z" 10/13/2026, 9:52:16 AM
model"meta/muse-wonder-20261012"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1600
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generation_time25103
tokens_prompt75
tokens_completion946
native_tokens_prompt68
native_tokens_completion4160
native_tokens_completion_images0
native_tokens_reasoning3371
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"
service_tier"auto"
usage0.083472
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
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request_id"req-1791885136-9epwfJ9ixmhZuJXdOMsl"
session_id(null)
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api_type"completions"
id"gen-1791885136-I1Cp1MElfoe6FNe1b1oG"
upstream_id"resp_6acdff506d58ee1e40184594"
provider_responses
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endpoint_id"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id"resp_6acdff506d58ee1e40184594"
is_byokfalse
latency365
model_permaslug"meta/muse-wonder-20261012"
provider_name"Meta"
status200
total_cost0.083472
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words502
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal502
wordsDialogue251
99.9920%