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Run: 2026-07-25-01KYD59GS540MTGQ8PHCVVC5KR
Run Details
Model:
Muse Spark 1.1 (Reasoning, Minimal)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
22.1s
Cost:
$0.016801
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 200 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 stared at the glittery invitation taped to their dented van dashboard while Bill wrestled with an overinflated balloon animal. "We can't just walk in wearing that, Bill. That's not clown makeup, that's ketchup." Bill grinned, scraping dried condiment from his cheek with dramatic pride. "Kids love ketchup. Look, it's interactive art." The backyard ahead overflowed with screaming toddlers, deflated bounce house, and a mountain of brightly wrapped presents guarded by vigilant mothers. "Okay, how do we grab them without getting tackled by moms?" "We cause distraction. You cry like a child, I loot." She snorted. "I am not crying on command. Find another genius plan." Bill produced a squeaky unicorn pinata and a comically enormous laundry sack. "Fine, we steal pinata, kids chase candy, we take presents. Simple." Molly eyed the sugar-fueled chaos, then the pile beside the juice boxes, thinking hard. "That's actually less dumb than usual. Let's do it before sugar crash." They pulled striped hats low, checked their sack for holes, and marched toward destiny smelling faintly of ketchup. "Remember, no pushing toddlers, Bill, and no eating frosting off floor." "Deal, but if I see chocolate, protocol changes." He nodded. "Let's steal some birthday cheer, partner."
created_at
"2026-07-25T17:31:14.093Z"
7/25/2026, 5:31:14 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
20765
moderation_latency
(null)
generation_time
21979
tokens_prompt
75
tokens_completion
332
native_tokens_prompt
225
native_tokens_completion
3887
native_tokens_completion_images
0
native_tokens_reasoning
3592
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
0.016801
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f2e237544aa5fc3f4d35"
is_byok
false
latency
257
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-1785000674-90Qygee8kEDDvSwZAaQ2"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785000674-6KJbZtU2phtippAVbJEO"
upstream_id
"resp_6a64f2e237544aa5fc3f4d35"
total_cost
0.016801
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
200
100.00%
Dialogue to Total Word Ratio
Ratio: 49.75%, Deviation: 0.25%
neededClean
false
wordsTotal
201
wordsDialogue
100
100.0000%