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Run: 2026-09-03-01M1K4PM2P2TA03W144BEDHYBK
Run Details
Model:
Muse Spark 1.3 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
2m 47s
Cost:
$0.044293
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 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 van smelled of old fries and defeat as Molly spread the birthday party floor plan across the sticky dashboard late Tuesday night while Bill polished a rubber clown nose with pride. "Bill, we are absolutely not wearing clown suits to a kid birthday." Bill looked wounded and clutched the puffy rainbow wig like a fallen soldier holding a flag after a brutal playground war outside the discount costume shop in daylight with pigeons watching quietly. "It is perfect camouflage, Molly. No parent questions extra clowns at Pizza Palace." Molly rubbed her temples and pointed at the hand drawn map showing the present table beside the cake and the bouncy castle entrance while a toddler screamed nearby for juice very loudly. "Last time you said camouflage we got chased by a marching band in Fresno." Bill waved dismissively and pulled three water balloons from his cargo pockets as if presenting diamonds to a very skeptical queen in the cramped van during their serious planning session tonight together. "That was jazz, completely different. This time I have balloons and juice boxes." Molly stared at the leaking balloons and imagined screaming children chasing them with sticky frosting hands and plastic party horns blaring through clouds of confetti inside the noisy rented hall Saturday afternoon. "Fine, but if anyone asks me to twist a giraffe I am stealing wallets." Bill grinned widely and unfolded a crayon diagram labeled operation birthday snatch with arrows pointing toward exits and cupcake trays while crumbs from stolen cookies covered his lap completely every single evening. "Deal. You grab the present table while I distract the magician with heckling." Molly studied the wobbly arrows and frowned at the stick figure magician wearing a cape larger than his actual tiny body drawn in red marker beside the crowded gift pile near balloons. "Why do I always get present duty while you get to enjoy terrible magic tricks?" Bill tapped the stroller parked behind the seats and revealed hidden compartments lined with velvet for fragile toys and electronic games stolen during previous jobs across the busy county fairgrounds last summer. "Because you can fit twenty Lego sets in that stroller without waking suspicion." Molly patted the tactical extraction pram with genuine affection and checked the squeaky wheels for silence before the big weekend raid while Bill pretended to cry about his hurt feelings quite loudly. "It is not a stroller, it is a tactical extraction pram, and show some respect." Bill raised both hands in surrender and offered Molly the last cold french fry as a solemn peace treaty between lifelong partners in crime sitting inside their rusty getaway van tonight. "Sorry. Operation Birthday Snatch begins Saturday. Bring cake appetite and big bags." Molly accepted the fry and reviewed the checklist aloud while sirens wailed far away and party music echoed from a neighboring house full of laughing kids and towering wrapped presents everywhere. "If we get caught by a bouncy castle guard, I am blaming your silly balloon animals."
created_at
"2026-09-03T08:03:27.072Z"
9/3/2026, 8:03:27 AM
model
"meta/muse-spark-1.3-20260902"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4032
moderation_latency
(null)
generation_time
166927
tokens_prompt
75
tokens_completion
785
native_tokens_prompt
68
native_tokens_completion
10402
native_tokens_completion_images
0
native_tokens_reasoning
9785
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
0.0442935
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788422607-A4Pz5I1dRdPyheRz9QeX"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788422607-lBk1ViG7mgwhjNwPqsUP"
upstream_id
"resp_6a9929cf2db9294d78bf4c00"
provider_responses
0
endpoint_id
"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id
"resp_6a9929cf2db9294d78bf4c00"
is_byok
false
latency
644
model_permaslug
"meta/muse-spark-1.3-20260902"
provider_name
"Meta"
status
200
total_cost
0.0442935
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
100.00%
Dialogue to Total Word Ratio
Ratio: 30.00%, Deviation: 0.00%
neededClean
false
wordsTotal
500
wordsDialogue
150
100.0000%