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Run: 2026-07-25-01KYD6JS64A6G7P3ZW2FF19JP5
Run Details
Model:
Muse Spark 1.1 (Reasoning, Minimal)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
26.6s
Cost:
$0.020979
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
Molly spread the crayon-drawn map across the hood of their rusted getaway van. "So the Johnson kid's birthday is at three, bounce house goes up at two-thirty." Bill squinted at the glitter-covered paper, his reading glasses sliding down his nose. "That says 'Beware of Clown' not 'Beware of Crown.'" He tapped a lopsided circle labeled CAKE with intense seriousness. "Same difference. Both terrifying and full of hot air." Molly ignored him and traced her finger past the juice boxes to a mountain of wrapped boxes. "Two dozen presents. Minimum. All untouched by gratitude." "We stealing from eight-year-olds now? That's a new low, even for us." Bill leaned against the van, already sweating through his striped party shirt. "It's not stealing, it's early redistribution. These kids don't appreciate a good Lego set." "I appreciate Legos. My therapist says I have unresolved building-block trauma." Molly rolled her eyes and produced two crumpled clown noses from her pocket. "Plan is simple. We walk in dressed as entertainers, you do balloon animals, I grab the loot." "Last time I did balloon animals I got sued by a poodle." She honked his nose, which squeaked pathetically and fell off. "You were making a giraffe. How did you get sued by a poodle?" "He was an emotional support poodle. Very sensitive about his proportions." A minivan full of screaming children drove past, reminding them their window was closing. "Look, in and out. The parents will be too busy arguing about gluten." "And if the clown shows up? The real one?" Molly grinned, pulling her oversized shoes from the back of the van. "Then we do what we always do. Smile, wave, and steal his tiny car." Bill sighed, squeezed the red nose onto his face, and immediately looked ten years more suspicious. The backyard was already visible from the alley, dotted with bright balloons and a suspiciously sagging inflatable castle. "Remember the signal. If I yell 'cake time' you grab the presents." "And if I yell 'my water broke'?" "Then you have committed way too hard to the mom disguise again." Bill practiced his cheerful wave, which looked more like he was surrendering to the children. "Do I look like a fun clown?" "You look like a clown who files taxes and regrets everything. Perfect." Molly kicked open the side gate and marched toward the sound of off-key singing, dragging a sack labeled LAUNDRY that was definitely not for laundry. "Operation Birthday Heist is a go. Try not to cry when they pop your balloons." "Too late. I'm already emotionally compromised by the juice boxes." They slipped through the fence as a chorus of children shouted for more frosting, completely unaware that two very unqualified criminals had just RSVP'd themselves to the party. "Let's get those presents before someone gets the dinosaur." Bill nodded solemnly, adjusting his wig, and together they waddled into the chaos of pure, unfiltered, sugar-fueled joy. It was going to be a terrible, wonderful, sticky disaster. Absolutely worth it today for sure
created_at
"2026-07-25T17:53:46.189Z"
7/25/2026, 5:53:46 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
23724
moderation_latency
(null)
generation_time
26497
tokens_prompt
75
tokens_completion
782
native_tokens_prompt
225
native_tokens_completion
4870
native_tokens_completion_images
0
native_tokens_reasoning
4190
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
0.02097875
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f82a39116098a5934be4"
is_byok
false
latency
273
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-1785002026-th7RT1nK6E9BEGXsDzob"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785002026-CxXKOj4EOpq677DQhiyd"
upstream_id
"resp_6a64f82a39116098a5934be4"
total_cost
0.02097875
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
508
wordsDialogue
254
100.0000%