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Run: 2026-10-13-01M4TAKV3B8BTFWPHE47D830SS
Run Details
Model:
Muse Wonder (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
26.3s
Cost:
$0.049612
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 crouched behind the garden hedge, binoculars upside down, watching balloons bob above the fence while Bill struggled silently with a party hat elastic under his chin. "Right, when the musical chairs starts, we slip through the kitchen, grab every present, and vanish before the cake appears looking innocent." Bill nodded solemnly, then sneezed glitter from the craft table across the lawn. "Brilliant, except I cannot feel my face, this clown nose smells like soup, and the getaway tricycle has one wobbly wheel again." Molly produced a map drawn in crayon, stolen earlier from the fridge door that very morning. "We avoid the bouncy castle, dodge the magician, bribe the goldfish with crackers, and never ever make eye contact with Grandma." Somewhere inside, twenty children screamed happily at a piƱata shaped like a suspiciously familiar police car. "Question, do we wrap ourselves as presents, or do we hide inside the giant cake and hope nobody orders chocolate surprise today?" Molly considered this gravely, adjusting her fake moustache, which was actually a caterpillar sleeping peacefully. A whistle blew inside, chairs scraped, and both thieves froze like guilty gnomes. "Then we strike, grab the loot, and pedal gloriously into legend, my friend."
created_at
"2026-10-13T09:48:33.782Z"
10/13/2026, 9:48:33 AM
model
"meta/muse-wonder-20261012"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2492
moderation_latency
(null)
generation_time
26261
tokens_prompt
75
tokens_completion
397
native_tokens_prompt
68
native_tokens_completion
2467
native_tokens_completion_images
0
native_tokens_reasoning
2111
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
0.049612
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791884913-u0zUT3ON0jw9TVwZ7ziC"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791884913-Vpkcl6HuA767m4vrSpdt"
upstream_id
"resp_6acdfe72e348e9cded6745e0"
provider_responses
0
endpoint_id
"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id
"resp_6acdfe72e348e9cded6745e0"
is_byok
false
latency
850
model_permaslug
"meta/muse-wonder-20261012"
provider_name
"Meta"
status
200
total_cost
0.049612
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%