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Run: 2026-10-13-01M4TB0JEM1GWPJ7PVPN619NX1
Run Details
Model:
Muse Wonder (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
10.5s
Cost:
$0.047832
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 whispered, "Plan is simple, Bill, we crash little Timmy's birthday party and steal every single present on that table." Bill said, "Molly, I love it, but children are tiny terrifying witnesses with perfect memories and extremely loud screaming voices." Molly laughed, "Relax, we wear clown costumes, honk red noses, juggle chickens, and nobody suspects the entertainment is robbing them." Bill sighed, "Last time you juggled, you knocked over Grandma, two lamps, a punch bowl, and our entire getaway plan." Molly continued, "That was improvisation, darling, and today I distract parents with balloon animals while you stuff gifts into sacks." Bill asked, "What if some kid opens a present early and finds socks instead of the treasure we desperately imagined?" Molly replied, "Then we return the socks anonymously, Bill, because even brilliant thieves have standards, morals, and surprisingly excellent manners." Bill muttered, "Fine, but I refuse to fight a seven year old karate champion again over a glittery pink bicycle." Molly declared, "Agreed, you distract him with cake, I grab bicycles, train sets, dolls, games, and anything wrapped in paper." Bill cheered, "Perfect, we escape through garden gate at noon, laughing wildly, unless the bouncy castle traps us forever again."
created_at
"2026-10-13T09:55:30.91Z"
10/13/2026, 9:55:30 AM
model
"meta/muse-wonder-20261012"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2027
moderation_latency
(null)
generation_time
10455
tokens_prompt
75
tokens_completion
399
native_tokens_prompt
68
native_tokens_completion
2378
native_tokens_completion_images
0
native_tokens_reasoning
2009
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
0.047832
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791885330-Mx0B8oki10eIq2yrrbuM"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791885330-wEflmGtZ5H5Me0VozE0C"
upstream_id
"resp_6ace0013975bdddd0bc5498e"
provider_responses
0
endpoint_id
"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id
"resp_6ace0013975bdddd0bc5498e"
is_byok
false
latency
667
model_permaslug
"meta/muse-wonder-20261012"
provider_name
"Meta"
status
200
total_cost
0.047832
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: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%