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Run: 2026-11-11-01M75439FKMXTH9WVBFZY1XAC5
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
8.5s
Cost:
$0.002392
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
Molly adjusted her balaclava, which was really a crooked birthday hat stolen from a charity bin yesterday afternoon. Bill stood beside her, sweating through a fake mustache and a suit jacket two sizes too small for dignity. Their target was Timmy's seventh birthday party at the park pavilion, where presents formed a vulnerable, glittering mountain. "We will be in and out before cake." The plan involved a borrowed wagon, a coat hanger grappling hook, and confidence borrowed from fictional criminals. "What about the clown?" Bill had prepared a distraction involving juggling oranges while humming loudly, which impressed nobody except his grandmother once. "He fears no one, except possibly balloons." Molly studied the bouncy castle, wondering aloud whether it could launch them, distract parents, or simply delay everyone politely. "Brilliant." He grinned with misplaced enthusiasm, gripping the wagon handles like a getaway driver in a very silly movie. Ahead, children shrieked, parents sipped juice boxes, and a clown twisted a balloon dinosaur that looked personally offended. Molly decided they would simply stroll in, smile bravely, claim to be Timmy's long lost Canadian aunt, and wheel away the loot before anyone remembered cake. It was terrible, which made it absolutely perfect indeed.
created_at
"2026-11-11T10:57:42.392Z"
11/11/2026, 10:57:42 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1232
moderation_latency
(null)
generation_time
8161
tokens_prompt
75
tokens_completion
475
native_tokens_prompt
69
native_tokens_completion
4771
native_tokens_completion_images
0
native_tokens_reasoning
4379
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
0.0023924
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794394662-5MFEhN2xM1Buk6NsrXFC"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794394662-K32qyUWSnqaIVVhvcXfp"
upstream_id
"resp_6af44a26cad4f18de0d64188"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44a26cad4f18de0d64188"
is_byok
false
latency
969
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0023924
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: 10.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
20
100.0000%