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Run: 2026-10-13-01M4TB5C9N0BGJ6SM5DAGN7TBC
Run Details
Model:
Muse Wonder (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
33.2s
Cost:
$0.121332
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.80%
Dialogue to Total Word Ratio
(details)
99.9001%
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
Molly spread the birthday party flyer across the kitchen table and smoothed the creases with her palm while Bill leaned over her shoulder eating cereal straight from the box. “We hit the Henderson place at two on Saturday, right when the clown arrives and every parent is distracted filming.” “The clown is our cover? Please tell me I am not wearing the shoes again because my toes still hurt.” She tapped the hand drawn map beside the cake drawing. “You are wearing the shoes, the red nose, and the wig, because you lost rock paper scissors fair and square.” “I demand a recount. You threw rock after I threw scissors, and somehow suddenly the rules changed to best of seven.” “The rules are whatever keeps us employed. While you juggle, I slip through the kitchen and gather every present by the fireplace.” Bill set the cereal down and stared at the map. “And how exactly do I juggle and also open the side door for you when my hands are full of bowling pins?” “You drop one on purpose, bend down laughing, and kick the door latch with those enormous ridiculous clown shoes you love.” “I do not love them. They squeak. Last time every dog in the neighborhood followed me home like a parade.” Molly grinned and pulled a glittery gift bag from under the table. “That is why this time we bring squeaky toys to throw the dogs off our trail and confuse the children completely.” “Confuse the children? Molly, these are six year olds hopped up on cake. Confusion is already their permanent natural state.” “Exactly. Nobody notices two extra adults loading presents into a van when there is face painting and a bouncy castle riot.” He rubbed his forehead and looked at the tiny chairs she had stolen for rehearsal. The kitchen clock ticked while a neighbor practiced trumpet badly for the third straight morning outside. “Please explain why we rehearsed sitting. I still cannot feel my knees after your brilliant tiny chair escape practice yesterday.” “Because if a parent traps you in musical chairs, you need a graceful exit strategy that does not involve crying publicly.” “I was not crying. I was acting. Method clowning requires emotional vulnerability, which is also why my mascara kept running everywhere.” Bill laughed despite himself and picked up the red nose from the table and turned it over slowly in his hands. “Focus. Presents first, excuses later. We stack, we pass, we vanish before anyone starts the treasure hunt in the garden.” Molly rolled the map, tucked it into her jacket, and gave him the look that ended every argument they had. “What if the birthday kid opens them early? Kids are unpredictable, tiny chaos agents with sticky hands and zero respect for schedules.” “Then we improvise, start a conga line, and vanish through the hedge like festive raccoons before dessert is served.” Outside, rain tapped the windows while the van waited, gassed, ready, and pointed toward Saturday afternoon.
created_at
"2026-10-13T09:58:08.452Z"
10/13/2026, 9:58:08 AM
model
"meta/muse-wonder-20261012"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2101
moderation_latency
(null)
generation_time
33213
tokens_prompt
75
tokens_completion
932
native_tokens_prompt
68
native_tokens_completion
6053
native_tokens_completion_images
0
native_tokens_reasoning
5268
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
0.121332
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791885488-XHGjvIK4qF7wm4jPc2LF"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791885488-fJKgUJrpfVW2zQI3n3To"
upstream_id
"resp_6ace00b0dd16cbe7d970479b"
provider_responses
0
endpoint_id
"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id
"resp_6ace00b0dd16cbe7d970479b"
is_byok
false
latency
547
model_permaslug
"meta/muse-wonder-20261012"
provider_name
"Meta"
status
200
total_cost
0.121332
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
99.80%
Dialogue to Total Word Ratio
Ratio: 70.20%, Deviation: 0.20%
neededClean
false
wordsTotal
500
wordsDialogue
351
99.9001%