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Run: 2026-10-13-01M4TBWFXGGAV4F8SK5SHH0W64
Run Details
Model:
Muse Wonder (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
28.0s
Cost:
$0.125592
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 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
Rain hammered the van roof while two thieves studied a crayon map in silence. "We are stealing presents from a seven year old's birthday party." Molly whispered. "Do not say it like that because you make us sound like villains." Bill groaned. He stared at the glitter stuck stubbornly to his sleeve. "Bill, we are villains with a van, a map, and matching gloves." Molly grinned. "The gloves are for hygiene, Molly, and the map was your idea." Bill frowned. Outside, balloons bobbed above a quiet suburban fence in bright rows. "My idea was brilliant because children cannot chase us when they are hyped on cake." Molly said. "They can cry though, and crying attracts parents, neighbors, and possibly the police." Bill replied. A toy trumpet bleated somewhere beyond the hedge without warning. "That is why we strike during the pinata when everyone is legally blindfolded and armed." Molly declared. "A child with a stick is not an opportunity, Molly, that is a workplace hazard." Bill muttered. She elbowed him gently and pointed toward the drawn house. "You wore a helmet to steal a garden gnome last Tuesday." Molly teased. "That gnome had a rake and I stand by every decision." Bill answered. "Fine, we enter through the kitchen while the magician distracts them with card tricks." Molly continued. The van smelled of coffee, socks, and poorly planned ambition. "What if the magician is actually an off duty detective with excellent peripheral vision?" Bill asked. "Then we applaud politely and steal nothing but his dignity." Molly shrugged. "I like the applause plan because it involves significantly fewer felony charges." Bill sighed. He drew a trembling circle around the cheerful little drawing. "Focus, Bill, the presents are stacked beside the patio door like shiny little bricks." Molly insisted. "Shiny bricks wrapped in dinosaur paper and guarded by a grandmother named Ruth." Bill countered. "Ruth is eighty four and naps after lemonade, so our window is perfect." Molly whispered. Somewhere, a dog barked at absolutely nothing with great conviction. "Ruth also beat you at arm wrestling at the county fair last summer." Bill said. "She cheated because she used both arms and a surprising amount of strategy." Molly scoffed. "She used experience, Molly, which is exactly why she terrifies me." Bill admitted. "Then you distract Ruth with bingo talk while I load the presents quietly." Molly ordered. "I know nothing about bingo except that old people shout it with terrifying confidence." Bill protested. She produced two bingo cards from her coat pocket. "Just nod, smile, and say B twelve until she feels deeply respected." Molly instructed. "What if she asks me to actually play bingo against her?" Bill asked. "Then lose gracefully and do not bet the getaway van again." Molly warned. "That happened once and the bingo hall needed a van temporarily." Bill mumbled. "They painted flowers on it, Bill, and now police call it the petal mobile." Molly laughed. "At three we vanish before the clown arrives, okay?" Molly concluded.
created_at
"2026-10-13T10:10:45.818Z"
10/13/2026, 10:10:45 AM
model
"meta/muse-wonder-20261012"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1827
moderation_latency
(null)
generation_time
28003
tokens_prompt
75
tokens_completion
916
native_tokens_prompt
68
native_tokens_completion
6266
native_tokens_completion_images
0
native_tokens_reasoning
5444
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
0.125592
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791886245-EsDid1fjox7WqXHDuTzv"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791886245-gYOjfPlXuUOs1P85J6TF"
upstream_id
"resp_6ace03a617c79307b1fe4f8e"
provider_responses
0
endpoint_id
"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id
"resp_6ace03a617c79307b1fe4f8e"
is_byok
false
latency
506
model_permaslug
"meta/muse-wonder-20261012"
provider_name
"Meta"
status
200
total_cost
0.125592
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Meta"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
500
100.00%
Dialogue to Total Word Ratio
Ratio: 70.00%, Deviation: 0.00%
neededClean
false
wordsTotal
500
wordsDialogue
350
100.0000%