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Run: 2026-07-25-01KYD5EA06RP3WAHH2RCSV49ED
Run Details
Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
14.5s
Cost:
$0.010779
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 10% 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 hand-drawn blueprint across the hood of their getaway van, which was currently double-parked outside Chuckleland Party Palace. Bill squinted at the elaborate crayon markings labeling laser tag, ball pit, and mountain of presents. "We can't steal from kids, Bill," Molly whispered. "I know, but that giant LEGO castle is calling my name," Bill sighed. "Free juice boxes," he added. Their plan was absurdly complex for a suburban birthday heist, involving clown disguises, a distraction involving seventeen screaming second-graders hopped up on frosting, and a swift exit via the industrial kitchen. Molly tapped the emergency exit next to the cake table. The presents were stacked beside a sleeping magician who smelled faintly of rabbit. Bill had already purchased a too-small birthday hat and practiced looking innocent, which was difficult with his large tattoo reading PROPERTY OF MOM. She explained they would enter during musical chairs, grab the loot in a laundry sack labeled presents, and flee before the piƱata burst. It was immoral, ridiculous, and likely to end with glitter permanently embedded in their shoes, but for that castle, they were willing. They shook hands, donned squeaky noses, and marched toward destiny, frosting, and felony together at last.
created_at
"2026-07-25T17:33:50.989Z"
7/25/2026, 5:33:50 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
13092
moderation_latency
(null)
generation_time
14179
tokens_prompt
75
tokens_completion
323
native_tokens_prompt
225
native_tokens_completion
2470
native_tokens_completion_images
0
native_tokens_reasoning
2197
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
0.01077875
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f37f1d7d1a8666a34dcb"
is_byok
false
latency
254
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-1785000831-lZtD9Xc6kGOr5fkee6Hd"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785000831-1u6WG55lXfACgTl0uBlU"
upstream_id
"resp_6a64f37f1d7d1a8666a34dcb"
total_cost
0.01077875
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: 9.80%, Deviation: 0.20%
neededClean
false
wordsTotal
204
wordsDialogue
20
100.0000%