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Run: 2026-10-13-01M4TBWH898N6KAYF78481EDK3
Run Details
Model:
Muse Wonder (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
17.0s
Cost:
$0.051092
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 adjusted her clown nose while Bill stuffed oversized shoes into a duffel bag. "Listen, Bill, the party starts at noon, the presents hit the gift table by twelve fifteen, and security is just one distracted grandma." "Molly, stealing birthday presents from seven year olds feels low, even for us, and we once robbed a lemonade stand during summer." "Relax, we are not monsters, we will leave thank you cards, plus one slightly haunted jack in the box for emotional realism." "Great, because nothing says professional thieves like fleeing through a bouncy castle while toddlers throw cake at our heads in pure chaos." "Exactly, chaos is our camouflage, especially if you wear the inflatable dinosaur costume and pretend to teach children about extremely suspicious prehistoric dance." Bill nodded solemnly. "I wore that costume last Halloween, Molly, and three children cried, two parents filmed me, and one goat followed me home afterward." "Perfect, fear creates distraction, distraction creates opportunity, and opportunity lets us grab every wrapped present before the magician even finds his rabbit." "Fine, but if anyone asks, you planned this ridiculous caper." Molly grinned wickedly. "Deal, partner, now grab the confetti cannon and practice your balloon animal alibi quickly."
created_at
"2026-10-13T10:10:47.187Z"
10/13/2026, 10:10:47 AM
model
"meta/muse-wonder-20261012"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2418
moderation_latency
(null)
generation_time
16972
tokens_prompt
75
tokens_completion
339
native_tokens_prompt
68
native_tokens_completion
2541
native_tokens_completion_images
0
native_tokens_reasoning
2249
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
0.051092
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791886247-1uMJcMTPoSAuL2opz1W5"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791886247-nvwVEdkWSQXBPTG23dXo"
upstream_id
"resp_6ace03a77e397d540e354a27"
provider_responses
0
endpoint_id
"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id
"resp_6ace03a77e397d540e354a27"
is_byok
false
latency
704
model_permaslug
"meta/muse-wonder-20261012"
provider_name
"Meta"
status
200
total_cost
0.051092
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%