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Run: 2026-10-13-01M4TAHHARY9X6CV31PVHRBNKV
Run Details
Model:
Muse Wonder (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
11.2s
Cost:
$0.033452
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 spread the party invitation across the dented kitchen table while Bill balanced three stolen cupcakes and squinted at the crayon map beside her quietly. "We strike at noon when the magician arrives because nobody watches presents while rabbits, balloons, confetti, and screaming children create perfect chaos for us thieves." Bill nodded solemnly, licked frosting from his thumb, then unfolded his ridiculous clown costume, complete with squeaky shoes, oversized pockets, and one suspiciously glittery beard. "I will juggle oranges, distract the parents, charm the grandmother, and quietly load every wrapped bicycle, scooter, dollhouse, and game into our van outside anyway." Molly snorted, circled the gift table twice, checked the garden gate, counted six exits, and stuffed twenty empty sacks beneath her sparkly pirate coat today. "Remember, no eating cake, no joining musical chairs, no adopting puppies, and absolutely no singing karaoke even if they play your favorite pirate shanty twice." Outside, rain rattled the van while distant balloons bobbed beyond frosted windows, and both thieves practiced innocent smiles in the cracked mirror above them together. "If anyone asks, we are professional entertainers delivering surprise joy, extra sprinkles, terrible jokes, and extremely suspicious generosity until the presents vanish completely tonight together."
created_at
"2026-10-13T09:47:18.244Z"
10/13/2026, 9:47:18 AM
model
"meta/muse-wonder-20261012"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2210
moderation_latency
(null)
generation_time
11129
tokens_prompt
75
tokens_completion
411
native_tokens_prompt
68
native_tokens_completion
1659
native_tokens_completion_images
0
native_tokens_reasoning
1329
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
0.033452
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791884838-AGM4EjDUSLpRxg6JgXRS"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791884838-fyO25SXfkKFKQXueU2cy"
upstream_id
"resp_6acdfe26e10fce04f46f4517"
provider_responses
0
endpoint_id
"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id
"resp_6acdfe26e10fce04f46f4517"
is_byok
false
latency
394
model_permaslug
"meta/muse-wonder-20261012"
provider_name
"Meta"
status
200
total_cost
0.033452
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
200
100.00%
Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%