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Run: 2026-11-11-01M753F6DZZQ7W8E12DCB2V2A8
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
6.9s
Cost:
$0.001711
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 rehearsed her evil laugh in the bushes while Bill tried to squeeze a rolling suitcase through the back door of the community hall. Inside, balloons bobbed and children shrieked over a mountain of presents stacked beside one enormous birthday cake. Molly said, "We sneak in at three." Bill, sweating inside a borrowed fairy princess dress, replied, "The parents will be busy." Molly nodded and pointed toward the window where a clown juggled rubber chickens dangerously close to the treasure. Molly said, "We grab every present." Bill whispered, "Even the pink bicycle." Molly grinned and checked her getaway shopping cart shaped like a dragon. Bill added, "Pink rocks." Both thieves agreed that stealing from toddlers required precision, courage, and absolutely no moral compass whatsoever because they were complete disasters with terrible timing and worse disguises that fooled absolutely nobody except perhaps the goldfish watching from its bowl nearby somehow. They practiced tiptoeing over empty juice boxes while debating whether the giant stuffed dinosaur counted as one present or two and whether the bouncy castle could somehow fit inside the dragon cart for their daring escape. Bill insisted the dinosaur was legally a friend, not loot, and volunteered to carry it.
created_at
"2026-11-11T10:46:43.91Z"
11/11/2026, 10:46:43 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1690
moderation_latency
(null)
generation_time
6872
tokens_prompt
75
tokens_completion
422
native_tokens_prompt
69
native_tokens_completion
3409
native_tokens_completion_images
0
native_tokens_reasoning
3056
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
0.0017114
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794394003-X3EnJSSTZQbw8B9Mmm8D"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794394003-edbTu72efVUpblGoNjDf"
upstream_id
"resp_6af447940dd1ddce4f854fe6"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af447940dd1ddce4f854fe6"
is_byok
false
latency
553
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0017114
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%