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Run: 2026-09-03-01M1K4R2Q2YKN1AG48REAAGEX4
Run Details
Model:
Muse Spark 1.2 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
23.9s
Cost:
$0.023715
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.56%
Dialogue to Total Word Ratio
(details)
99.7799%
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
Messages
Meta
AI
The van smelled like old fries and bad decisions. Molly spread the blueprint of the community center across the dashboard while Bill tried to untangle a balloon animal. "Okay, so the birthday girl is turning six, which means security is what, exactly?" Molly asked. "Elaborate. They've got a clown, a bouncy castle, and a mom with a clipboard who looks like she does taxes for fun." Bill said, tapping the blueprint where someone had drawn a pony. "That clipboard mom is the real threat. She runs this party like it's a military operation. Nap time at fourteen hundred hours, cake at fourteen thirty." Molly tapped the window marked presents. "How many presents are we talking? Like, enough to actually retire, or enough to buy a slightly better van?" He peered at the list Molly had stolen from the invitation group chat. "Twenty kids. Twenty presents. All wrapped in glitter paper. One of them is definitely a bike, and bikes have resale value." "We're stealing a six-year-old's bike? My mom is going to be so disappointed. Again." Bill slumped in the passenger seat and the balloon animal squeaked in protest. "We're not stealing the bike, we're liberating the presents from a system that rewards children for simply being born. It's philosophical." "Oh, is that what we're calling it? I thought we were just broke." Molly folded the blueprint and shoved it into the glove compartment next to three unpaid parking tickets. "Plan is simple. I go in as the entertainer. You hide in the giant gift box by the cake table." "Why am I the box? You know I'm claustrophobic and also allergic to being near children for extended periods." She tossed him a sequined vest and a red nose that had seen better days. "Because you fit perfectly and you can do that funny voice that makes kids scream-laugh. That's an asset." "That voice got us banned from the aquarium. Remember? The penguins were terrified." "The penguins were judgy. Focus. Once the clown distracts them with balloon animals, you grab every present and slide them out the fire exit. I will have the van running." Outside, a line of minivans pulled up and parents unloaded juice boxes like ammunition. "What if they count the presents? Clipboard mom definitely counts the presents." "They will count. That's why we replace them with decoys. Empty boxes wrapped in yesterday's newspaper. They won't notice until the screaming starts." "You want to make six-year-olds cry? That's a new low, even for us." "They'll cry for five minutes then eat cake and forget. Adults hold grudges, kids hold frosting." Bill stared at the community center doors where a banner read Happy Birthday Emma! in rainbow letters. "Okay, last question. If we get caught, do we pretend we thought it was our party?" "No. If we get caught, we act like magicians. We say the presents vanished. Puff. Magic. No evidence at all." She honked the horn as two kids stared at the van, confused and delighted.
created_at
"2026-09-03T08:04:14.698Z"
9/3/2026, 8:04:14 AM
model
"meta/muse-spark-1.2-20260805"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3304
moderation_latency
(null)
generation_time
23898
tokens_prompt
75
tokens_completion
900
native_tokens_prompt
68
native_tokens_completion
5560
native_tokens_completion_images
0
native_tokens_reasoning
4759
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
0.023715
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788422654-4P6eFTTQdeCaem02YZIv"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788422654-UHcGKPGS35vsgavccckP"
upstream_id
"resp_6a9929fe74eeada65ee540ad"
provider_responses
0
endpoint_id
"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id
"resp_6a9929fe74eeada65ee540ad"
is_byok
false
latency
292
model_permaslug
"meta/muse-spark-1.2-20260805"
provider_name
"Meta"
status
200
total_cost
0.023715
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
99.56%
Dialogue to Total Word Ratio
Ratio: 70.30%, Deviation: 0.30%
neededClean
false
wordsTotal
505
wordsDialogue
355
99.7799%