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Run: 2026-09-03-01M1K52JF3E3P81WV6W1S97FVB
Run Details
Model:
Muse Spark 1.2 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
33.6s
Cost:
$0.029083
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.90%
Dialogue to Total Word Ratio
(details)
99.9507%
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 blueprint of the community center across the hood of their dented getaway van while Bill tried to untangle a string of birthday balloons that had somehow knotted itself around his ankle. The plan was supposed to be simple. "We walk in dressed as clowns," Molly whispered, tapping a red circle marked Bouncy Castle. "I hate clowns," Bill muttered. "They terrify children and my mother never trusted them." Molly rolled her eyes and produced two greasy clown costumes from the back seat that smelled faintly of old popcorn and regret. "Perfect," she said. "Nobody questions a clown at a children's party. It's camouflage." Bill held up the pants which were three sizes too short and featured enormous blinking buttons that squeaked whenever he moved. "These will squeak," he complained. "Every parent will hear us coming from the parking lot." Molly had anticipated this and pulled out a roll of duct tape with the flourish of a magician revealing a rabbit. "We tape the buttons," she explained. "And we time it for the cake." According to her hastily drawn timeline, the parents would be distracted singing happy birthday while the presents sat unattended near the back wall beside a mountain of juice boxes. "So while they sing we just grab the loot and run?" Bill asked, brightening slightly. "Exactly," Molly grinned. "We sing along for cover, stuff the gifts into the laundry bag, and vanish before frosting touches lips." Bill considered the plan and then frowned at the sleeping toddler stroller parked by the entrance that doubled as a security guard post. "What about the entertainer?" he whispered. "That guy with the balloon animals looks ex-military." Molly peered through the window where a lanky man in a striped vest was twisting a poodle with intense concentration while six children stared in reverent silence. "He's not a problem," she said confidently. "I'll distract him with small talk about twisted sausages." Bill sighed and pulled the squeaky clown pants over his jeans, immediately honking with every step like a wounded goose trying to audition for a circus. "You look ridiculous," Molly giggled. "Perfect for the job." She handed him the laundry bag that was actually a stolen Santa sack and checked her watch as the distant sound of children shouting the birthday song began to wobble through the thin walls. "That's our cue," she hissed. "Remember, smile, sing, steal." Bill took a deep breath, his buttons taped but still faintly squeaking, and followed her waddling toward the side door where a colorful banner read Welcome to Timmy's Fifth Birthday and the smell of vanilla frosting promised either fortune or utter humiliation. The door creaked open to reveal a wonderland of screaming children, melting ice cream, and a precariously stacked pyramid of brightly wrapped presents guarded only by a sleeping golden retriever. "Even the dog looks bored," Bill whispered. "This might actually work if we don't trip over that castle." "Then let's be the best clowns these kids have ever seen today together."
created_at
"2026-09-03T08:09:58.506Z"
9/3/2026, 8:09:58 AM
model
"meta/muse-spark-1.2-20260805"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2414
moderation_latency
(null)
generation_time
33578
tokens_prompt
75
tokens_completion
779
native_tokens_prompt
68
native_tokens_completion
6823
native_tokens_completion_images
0
native_tokens_reasoning
6157
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
0.02908275
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788422998-1I292edpXEtTbeZ2Urb5"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788422998-OcF8OCutahP5yQCfeDa5"
upstream_id
"resp_6a992b5670f22e51e6284a47"
provider_responses
0
endpoint_id
"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id
"resp_6a992b5670f22e51e6284a47"
is_byok
false
latency
374
model_permaslug
"meta/muse-spark-1.2-20260805"
provider_name
"Meta"
status
200
total_cost
0.02908275
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
501
99.90%
Dialogue to Total Word Ratio
Ratio: 30.14%, Deviation: 0.14%
neededClean
false
wordsTotal
501
wordsDialogue
151
99.9507%