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Run: 2026-11-11-01M753WH7C10CR5NM59W2DVJK6
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
5.9s
Cost:
$0.002038
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 adjusted her mask outside the brightly decorated community hall. "Bill, the pinata bash starts at two, so we must move fast," Molly said. Bill checked his watch and grinned beneath his ridiculous fake mustache. "Relax, Molly, kids never guard presents properly, especially after cake," Bill said. Molly pointed toward a window where balloons hid a pile of glittering boxes. "That tower looks expensive, Bill, and I doubt any birthday clown supervises it," Molly said. Bill nodded toward the back door, which stood slightly open near stacked chairs. "Perfect, I will distract everyone by requesting a balloon animal, then slip inside," Bill said. Molly rolled her eyes and tightened her gloves with unnecessary dramatic flair. "You cannot make balloon animals, Bill, unless you plan to panic everyone completely," Molly said. Bill pulled a tiny pump from his pocket and winked with confidence. "Trust me, Molly, chaos is my favorite disguise, and those presents are ours tonight," Bill said. Molly stared through the window toward the unsuspecting children laughing inside. "Fine, but if a clown asks questions, you are handling him, not me," Molly said. Bill pushed the door. "Molly, grab the biggest box first and run when the music stops,"
created_at
"2026-11-11T10:54:00.946Z"
11/11/2026, 10:54:00 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1429
moderation_latency
(null)
generation_time
5869
tokens_prompt
75
tokens_completion
417
native_tokens_prompt
69
native_tokens_completion
4062
native_tokens_completion_images
0
native_tokens_reasoning
3707
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
"default"
usage
0.0020379
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794394440-OiW5c2jI1LvtndUmRYoB"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794394440-D9h8TVBuY2aecbiQz9X2"
upstream_id
"resp_6af449493f2df0f75b9c4d9e"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af449493f2df0f75b9c4d9e"
is_byok
false
latency
703
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0020379
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%