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Run: 2026-07-25-01KYD5CDZ89740QSY6C124CYD4
Run Details
Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
24.8s
Cost:
$0.018256
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.23%
Dialogue to Total Word Ratio
(details)
99.6170%
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 faintly of old coffee and stolen ambition, which was how Molly knew Bill had been living in it again. He had spread blueprints across the dashboard, but they weren't blueprints for a bank. They were hand-drawn in crayon, with a big red X marking the bouncy castle. A juice box leaked onto the passenger seat. "Bill, we steal diamonds, not dinosaur plushies." Molly said, peering over her sunglasses. Bill looked wounded, as if she had insulted his mother, his dog, and his limited artistic ability all at once. "Molly, it's not just any party. It's little Timmy Harrington's party." He tapped the crayon map with reverence. The Harringtons were the kind of rich that had a separate fridge just for cheese. Little Timmy was turning six, and according to Bill's extensive Pinterest-stalking, was about to receive more LEGO sets than God. "So your big score is paw patrol and juice boxes?" she asked. Bill shook his head and flipped the blueprint over. On the back, taped with glitter tape, was a classified ad cutout. One solid gold rocking horse, custom made, one of a kind, to be unveiled at the party. Valued at forty thousand dollars. That was not a toy. That was retirement with a bow on it. "Okay, that's actually worth stealing. What's the plan?" Molly leaned in despite herself. He launched into it with the energy of a man who had watched too many spy movies at the laundromat. He would enter as a clown. Molly would be the magician. They would disable the bouncy castle with a strategic juice spill. "You want me to do magic for six-year-olds? I only know how to pick locks." Molly hissed. "Exactly! You'll kill! Literally, you'll make balloon animals disappear into your pockets!" Bill grinned. His clown nose honked sadly when he tapped it, which did not inspire confidence. "And what about security? Harrington hired ex-military." Molly pointed to a scribbled figure labeled DAD with huge muscles and a grill spatula. The man was legendary in the suburbs for his strict no-adults-jumping-in-the-bouncy-castle policy. "We bribe him with burger duty. No dad can resist manning a grill." It was so stupid it might work. Molly stared at the golden horse doodle, then at Bill's earnest, slightly sweaty face. She had robbed casinos, but never had the stakes been this adorable. "Fine. But if I have to sing Baby Shark, I'm keeping all the loot." Bill extended a sticky hand. "Deal. You distract, I grab the horse. We leave before cake." Outside, a minivan full of screaming children pulled up next door, early arrivals for a different party, a terrifying preview of their future heist. "Do we at least get party hats?" Molly sighed and grabbed the clown wig, already regretting everything profoundly. "Yes! And you get to keep the pony, metaphorically, until we pawn the real one!" he cried. "I hate you so much right now, Bill. Let's go steal that stupid golden horse." "We are terrible people!"
created_at
"2026-07-25T17:32:49.518Z"
7/25/2026, 5:32:49 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
21882
moderation_latency
(null)
generation_time
24466
tokens_prompt
75
tokens_completion
744
native_tokens_prompt
225
native_tokens_completion
4246
native_tokens_completion_images
0
native_tokens_reasoning
3568
native_tokens_cached
64
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
0.01825635
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f3422c402c73600a4912"
is_byok
false
latency
570
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-1785000769-xMaQHrHOR9DY7TusGsXE"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785000769-l3IuKIsEEkAGNeu8KbRC"
upstream_id
"resp_6a64f3422c402c73600a4912"
total_cost
0.01825635
cache_discount
0.0000704
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
99.23%
Dialogue to Total Word Ratio
Ratio: 29.61%, Deviation: 0.39%
neededClean
false
wordsTotal
510
wordsDialogue
151
99.6170%