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Run: 2026-07-25-01KYD6V2YAQ0HX37GHQ3010848
Run Details
Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
22.8s
Cost:
$0.016848
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 90% 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 leaned over the blueprint of the bounce house. Bill stared at the driveway full of minivans. Children screamed happily. "Okay, Bill, we go in through the kitchen disguised as clowns." "Clowns? Last time you made me wear the donkey suit for the library job." "That was tactical camouflage and you know it. This is a seven-year-old's birthday. There will be twenty presents, minimum. All unguarded except for one mom with a clipboard." "So what's the plan after we get past Laser Mom?" "We grab the loot, stuff it in the pinata, and rappel out the window using the streamer decorations." "You want to rappel? Molly, you're afraid of step ladders." "I'm working on it! That's why I brought juice boxes. Liquid courage." "Fine. But if one of those kids asks me to make a balloon animal, I'm stealing his juice box too." "That's the spirit. Remember, we are professionals. No crying, no birthday cake, no Pin the Tail." "What about the birthday boy? He's got karate trophies everywhere." "Please, we survived the senior center bingo heist. We can handle one sugar-fueled child." "That kid bit me." "He thought you were stealing his grandma. Which you were." "Let's roll now."
created_at
"2026-07-25T17:58:18.321Z"
7/25/2026, 5:58:18 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
21626
moderation_latency
(null)
generation_time
22730
tokens_prompt
75
tokens_completion
298
native_tokens_prompt
225
native_tokens_completion
3898
native_tokens_completion_images
0
native_tokens_reasoning
3613
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
0.01684775
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f93a4de80c191a95477a"
is_byok
false
latency
378
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-1785002298-g99wzkCNg6ddGYCtQSSy"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785002298-aEGQWylces60qD9WgD6c"
upstream_id
"resp_6a64f93a4de80c191a95477a"
total_cost
0.01684775
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: 90.15%, Deviation: 0.15%
neededClean
false
wordsTotal
203
wordsDialogue
183
100.0000%