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Run: 2026-07-25-01KYD84A891CFEGVAP9CR7A1Z2
Run Details
Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
33.5s
Cost:
$0.021639
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
82.82%
Dialogue to Total Word Ratio
(details)
41.4078%
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 stale fries and desperation. Molly had taped a glittery, hand-drawn map to the windshield that showed a bouncy castle, a table labeled PRESENTS in furious capitals, and a very angry clown. "Bill, this is the biggest score of our careers," Molly said. Bill didn't look up from the map. He rubbed his temples like he was trying to erase the last five years. "Molly, you dragged me here to rob a seven-year-old. I have limits. Low limits, but limits," Bill said. Molly bounced on the torn passenger seat. Outside, a line of minivans was pulling into the Hendersons' circular driveway. "Timmy Henderson's dad is a billionaire. One kid, thirty presents, all wrapped by a professional wrapper. That is untapped wealth." "We used to rob banks. When did we start robbing bounce houses?" "Since banks got cameras, Bill. This house has a pony and poor judgment." Bill sighed and folded his arms over his stained clown shirt. The smell of cheap face paint was already making him itch. "Okay, fine. What's the plan? No sound effects." "We go in at two o'clock as entertainers. You are Mr. Wobble the clown. I am Professor Giggles with the science show." "I hated being Mr. Wobble. Last time a kid bit me." "That kid had taste. You distract them with balloons while I grab the present table." "You want to steal thirty gifts with a tote bag?" "I brought the big IKEA bag. It's festive. It says presents on it in Sharpie." Molly held it up proudly. The bag was blue and sagging and said PRESENTS with a backwards S. "That is not festive camouflage, that's just lying." "Rich people love labels, Bill. If the bag says presents, they'll help me carry it." Bill leaned back and stared at the giant house. A security guard in polo shirt was trying to keep the pony from eating the buffet. "What about the security guard? The invitation says former Navy SEAL nanny." "She'll be watching the pony. Everyone watches the pony. No one watches presents." "And the mom? Jennifer runs marathons for fun. She will absolutely chase us." Molly tapped the bouncy castle on her map. Her finger left a cheeto dust mark right over the entrance. "That's why we pop the bouncy castle. Slowly. It sinks. Everyone panics. In that chaos, we leave." "You want me to sabotage a bouncy castle full of children?" "No, not sabotage. Deflate elegantly. Think of it as letting the air out of their dreams." "That is exactly sabotage but with poetry." "Listen, it will be a gentle descent into disappointment. Meanwhile I load the loot." Bill looked at the pony again. The pony looked back at him with deep judgment. "And then what? We run?" "We ride. We steal the pony too." "We are absolutely not stealing a pony, Molly." "The pony saw us, Bill. Now it's an accomplice." "That pony is looking at me like I'm going to jail, which I am if we steal a child's birthday." "We are not monsters. We leave one present. So he learns gratitude." "You want to leave him a moral lesson? From clowns?" "Exactly. Two cars drive away that day, Bill. One full of toys, and one full of regret. Ours is full of toys."
created_at
"2026-07-25T18:20:49.296Z"
7/25/2026, 6:20:49 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
29330
moderation_latency
(null)
generation_time
33388
tokens_prompt
75
tokens_completion
796
native_tokens_prompt
225
native_tokens_completion
5042
native_tokens_completion_images
0
native_tokens_reasoning
4294
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
0.02163935
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64fe8169ad9bfc14d7499b"
is_byok
false
latency
578
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-1785003649-J8esWnYScHkqhj4oDUDc"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785003649-5vqLRrVmERWdTvgHNy9s"
upstream_id
"resp_6a64fe8169ad9bfc14d7499b"
total_cost
0.02163935
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
0.00%
Matches word count
n/a
neededClean
false
words
548
82.82%
Dialogue to Total Word Ratio
Ratio: 68.06%, Deviation: 1.94%
neededClean
false
wordsTotal
551
wordsDialogue
375
41.4078%