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Run: 2026-09-03-01M1K5JBQETWMJKR0XXZE9JTJH
Run Details
Model:
Muse Spark 1.3 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
1m 20s
Cost:
$0.029729
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 afternoon sun baked the cramped apartment where Molly spread blueprints across the coffee table. "We need a plan that does not involve clowns again." Molly whispered, tapping a crayon map of Maple Street. Bill sprawled upside down on the couch with a juice stain on his shirt. "Agreed. Last time one cried harder than the birthday boy." He sat up and wiped crumbs from his chin, suddenly interested in crime again. "This party starts at three with a backyard full of parents." Molly nodded toward the window where neighborhood kids screamed around a bounce house next door. "So we walk in dressed as entertainers with big smiles." Bill straightened, stroking his imaginary beard like a cartoon villain. Outside, balloons bobbed against the fence. "Exactly. You will juggle juice boxes while I grab gifts." She slid a pile of stolen party hats across the table, grinning wickedly at her nervous partner. "What if they ask for balloon animals or magic tricks?" Bill frowned, remembering last Easter when a toddler bit his leg. He rubbed the phantom wound nervously. "Tell them you only do disappearing presents. Very exclusive." Molly snorted and tossed him a red clown nose that bounced off his forehead. The dog next door barked loudly. "I like it. Where do we stash the loot during cake time?" Bill caught the nose midair and perched it on the lamp for inspiration. Crumpled wrapping paper littered the floor. "Behind the fence in the wagon painted like a dragon." Molly unrolled a long list of expected gifts compiled from eavesdropping at the playground for weeks. "Brilliant. I will bring the wagon and extra mustaches." Bill whistled low at the words robot dinosaur and extra large chocolate fountain. His eyes gleamed with greedy delight. "Remember, be gentle, be quick, and never eat the frosting." Molly shushed him sharply as Mrs Henderson shuffled past their thin walls humming happy birthday. "No promises. That frosting is half the reason I agreed." Bill lowered his voice to a squeaky whisper, trying to sound innocent and adorable for practice. "Focus, Bill. Presents first, sugar later, understand?" Molly rolled her eyes so hard the blueprints blurred. She checked her watch and sighed. "Understood. Operation Birthday Grab begins at noon sharp." Bill saluted with a half eaten pretzel rod, scattering salt across the crayon map. Pigeons cooed on the fire escape outside. "Perfect. Bring wipes, because glitter gets everywhere forever." Molly grabbed a napkin and brushed the salt away before it ruined their careful escape route. "Glitter is the price of crime." They shook hands over the coffee table while the bounce house squeaked next door. Molly folded the blueprints into a pizza box for disguise. Bill practiced his smile in the cracked mirror, looking more constipated than cheerful. Outside, children chanted for cake and ice cream. The thieves grinned at each other, ready for glitter, chaos, and the greatest birthday heist Maple Street had ever witnessed. Neither noticed the dog watching them through the open blinds patiently.
created_at
"2026-09-03T08:18:35.891Z"
9/3/2026, 8:18:35 AM
model
"meta/muse-spark-1.3-20260902"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3608
moderation_latency
(null)
generation_time
80357
tokens_prompt
75
tokens_completion
782
native_tokens_prompt
68
native_tokens_completion
6975
native_tokens_completion_images
0
native_tokens_reasoning
6303
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
0.02972875
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788423515-VuoIpWojkXWeeYJaIFvF"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788423515-FmtLwJXEc5Nypl0YC88V"
upstream_id
"resp_6a992d5c0a43fe2f4c1946b4"
provider_responses
0
endpoint_id
"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id
"resp_6a992d5c0a43fe2f4c1946b4"
is_byok
false
latency
570
model_permaslug
"meta/muse-spark-1.3-20260902"
provider_name
"Meta"
status
200
total_cost
0.02972875
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%