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Run: 2026-10-13-01M4TAXNDWJ16AW7BM9Y3EKEW7
Run Details
Model:
Muse Wonder (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
14.4s
Cost:
$0.060472
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 10% 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
The afternoon sun hammered the tiny suburban street while two suspicious figures crouched behind an enormous inflatable flamingo across from number forty-two. Molly adjusted her binoculars and studied the garden where balloons bobbed, children screamed joyfully, and a mountain of wrapped presents glittered beside a chocolate fountain. Bill tugged her sleeve and whispered, “Pass the cake knife, Molly, we strike at noon.” Molly rolled her eyes so hard that her fake moustache nearly slipped into the lemonade she had stolen earlier from a passing toddler. She grinned and replied, “Only if you wear the clown nose again, darling.” Bill groaned, remembering last summer’s disastrous petting zoo robbery, the honking incident, three furious grandmothers, and a vengeful pony that still appeared in his nightmares whenever church bells rang. Their plan, scribbled on a napkin stolen from the ice-cream van, involved disguises, distraction jelly, one trained ferret named Kevin, and impeccable timing during musical chairs. When the music stopped, they would swoop inside, swap every present for identical boxes containing socks, and escape through the bouncy castle tunnel before anyone noticed anything except suspiciously disappointed birthdays. Bill nodded solemnly. “Deal.” Molly pocketed the binoculars, straightened Kevin’s tiny balaclava, and whispered, “Perfect,” triumphantly.
created_at
"2026-10-13T09:53:55.655Z"
10/13/2026, 9:53:55 AM
model
"meta/muse-wonder-20261012"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2137
moderation_latency
(null)
generation_time
14341
tokens_prompt
75
tokens_completion
417
native_tokens_prompt
68
native_tokens_completion
3010
native_tokens_completion_images
0
native_tokens_reasoning
2652
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
0.060472
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791885235-GhN8knkWQKG49os9WL3Z"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791885235-5HsddSmb9g9NHfXnfdMG"
upstream_id
"resp_6acdffb4d811fb9694f74287"
provider_responses
0
endpoint_id
"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id
"resp_6acdffb4d811fb9694f74287"
is_byok
false
latency
629
model_permaslug
"meta/muse-wonder-20261012"
provider_name
"Meta"
status
200
total_cost
0.060472
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: 9.90%, Deviation: 0.10%
neededClean
false
wordsTotal
202
wordsDialogue
20
100.0000%