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Run: 2026-07-25-01KYD4VQBN0A87M3YFZG5E4MT1
Run Details
Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
25.6s
Cost:
$0.019321
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
100.0000%
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
Messages
Meta
AI
The van smelled like old french fries and desperation, which Molly insisted was the perfect cover for their lowest career moment. They were parked across from Sunshine Giggles Play Palace, watching a six-foot clown twist balloons while parents unloaded suspiciously large wrapped boxes. "Bill, we have robbed banks," Molly said. "And casinos and that one museum during the diamond exhibit, but this is a new low," Bill replied. Bill tapped the steering wheel, his ski mask already making his forehead sweat despite the air conditioning. "We are not stealing from children, Bill. We are liberating underappreciated assets from a highly concentrated wealth zone." "That is exactly stealing from children but you used more syllables," Bill said. Molly unfurled a child’s birthday party invitation covered in glitter and meticulous handwritten notes. "The target is Timmy Johnson. Age seven. He is getting more loot in one afternoon than we made on the Henderson job." Molly pointed at the invitation. "The intel says there will be a bounce house. That is our entry point." "Oh great, so our getaway vehicle is inflatable?" Bill asked. Molly ignored him, spreading a hand-drawn map of the play palace across the dashboard. "Listen, it is simple. You dress as the magician, I dress as the face painter. We walk in with the entertainment crew at two." Bill stared. "I am six foot four. I do not look like a children’s magician. Children will have nightmares." "You already look like that," Molly said. "Wow. Okay. What if a kid asks me to pull a rabbit from a hat?" Molly produced two duffel bags and a battered top hat from the back seat. "Then you pull the presents into this bag. The parents will be too busy watching Timmy have a sugar crash to notice us." Bill sighed and pulled the ski mask down, which did nothing to improve his magician credibility. "Fine. But if I have to paint a butterfly on anyone’s face, I am charging extra, and I want the LEGO set." Molly grinned, already dabbing blue paint on her own cheek. The plan was terrible and ethically blurry even for them, yet the sight of three new bicycles being carried through the entrance made their professional instincts tingle. In the parking lot, a mother wrestled a pile of gifts nearly as tall as Timmy himself toward the door. "We get in, we get the haul, we are out before they cut the cake. No trauma, just capitalism." Molly checked watch. "Plus Timmy does not need five laser tag gift cards. No seven-year-old needs that much power." Bill finally nodded, adjusting his fake mustache that was already peeling off in the heat. "You are right. Let us rob this birthday party like absolute professionals." "Let us go." They stepped out of the van together, one with face paint and larceny in her heart, the other wearing a cape two sizes too small, ready to commit the most embarrassing felony of their entire careers. For Timmy’s presents. Now.
created_at
"2026-07-25T17:23:42.078Z"
7/25/2026, 5:23:42 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
22678
moderation_latency
(null)
generation_time
25482
tokens_prompt
75
tokens_completion
746
native_tokens_prompt
225
native_tokens_completion
4480
native_tokens_completion_images
0
native_tokens_reasoning
3802
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
0.01932125
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f11ef098fad337ed40c5"
is_byok
false
latency
271
model_permaslug
"meta/muse-spark-1.1-20260709"
provider_name
"Meta"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1785000222-TpRX3wiDbj6eCj4wJPEy"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785000222-PugjV1xplKWUF8OWM74Z"
upstream_id
"resp_6a64f11ef098fad337ed40c5"
total_cost
0.01932125
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Meta"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
500
100.00%
Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
504
wordsDialogue
252
100.0000%