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Run: 2026-09-03-01M1K5APVS0RJ186D0AF14V7B2
Run Details
Model:
Muse Spark 1.2 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
44.9s
Cost:
$0.033554
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.93%
Dialogue to Total Word Ratio
(details)
99.9643%
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
The community center on Maple Street was never built to repel professional criminals, which was exactly why Molly had circled it three times in red marker. Inside, a children's birthday party raged at full volume. Thirty seven year olds shrieked as a sweating magician chased his escaped rabbit under the cake table, while beside the chaos a folding table groaned under a pyramid of brightly wrapped presents. The back door was propped open with a juice box. Bill watched it all through cheap binoculars from the passenger seat of their dented van, his knees pressed against a sad pile of unsold traffic cones. Molly tapped the steering wheel, wearing a squeaky clown nose she had stolen from a previous job that never quite paid off. The plan was simple, insulting, and, according to Molly, foolproof. The air smelled of cheap pizza and sunscreen, and a hand-painted banner reading HAPPY BIRTHDAY LEO flapped sadly against the chain-link fence whenever the bounce house inflated. A bored mother filmed everything on her phone while two dads argued about parking. Nearby a folding table held a lopsided chocolate cake sweating in the heat. "We walk in as entertainers, grab the presents, walk out rich," Molly said. Bill lowered the binoculars. "You want to steal from children, Molly? Actual children?" "We steal from their parents who can afford a magician and a bounce house," she replied. "It's practically redistribution." "That magician looks like he's having a stroke," Bill muttered. "And those kids are feral. One of them just bit him." Molly adjusted her nose. "Perfect distraction. You do the balloon animals, I take the loot. Thirty seconds in and out." "I don't know how to make balloon animals," Bill said. "Last time I made a sad intestine." "You'll improvise. They are seven." Bill stared at the mountain of gifts. "What if we get caught? We'll be the guys who robbed a kid's party." "Nobody goes to prison for stealing Paw Patrol," Molly whispered. "We borrow a laundry cart, load it up, and vanish before the cake." "What if the nose squeaks?" Bill asked. "Then we will sound festive while we flee," Molly answered. "Trust me. This is our very easiest score yet today." Molly killed the engine. The van sighed. Outside, the magician had given up and was now sitting inside the bounce house drinking juice boxes meant for the children. The presents remained unattended, glittering under fluorescent lights like bait. Bill reluctantly pulled a striped clown wig over his thinning hair. It itched immediately. Molly opened the side door and retrieved a large empty laundry bag that read PROPERTY OF MOTEL 6. Together they stepped into the afternoon heat, trying to look like they belonged at a party that had not invited them, their shadows stretching long across the cracked parking lot toward the unlocked door and the promise of easy, terrible fortune. A warm wind carried the smell of frosting and desperation across the lot as they walked. The heist had officially begun.
created_at
"2026-09-03T08:14:25.151Z"
9/3/2026, 8:14:25 AM
model
"meta/muse-spark-1.2-20260805"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
16353
moderation_latency
(null)
generation_time
44911
tokens_prompt
75
tokens_completion
954
native_tokens_prompt
68
native_tokens_completion
7875
native_tokens_completion_images
0
native_tokens_reasoning
7031
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
"auto"
usage
0.03355375
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788423265-atIVIWT0kXBqWqsVTJq6"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788423265-l4rbtiIa9gotYyY12BES"
upstream_id
"resp_6a992c6e53e081253bef46d3"
provider_responses
0
endpoint_id
"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id
"resp_6a992c6e53e081253bef46d3"
is_byok
false
latency
13525
model_permaslug
"meta/muse-spark-1.2-20260805"
provider_name
"Meta"
status
200
total_cost
0.03355375
cache_discount
(null)
upstream_inference_cost
0
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
100.00%
Matches word count
n/a
neededClean
false
words
500
99.93%
Dialogue to Total Word Ratio
Ratio: 29.88%, Deviation: 0.12%
neededClean
false
wordsTotal
502
wordsDialogue
150
99.9643%