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Run: 2026-11-11-01M753MGSRCFAD9DXK0RQ3008E
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
3.9s
Cost:
$0.001031
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Count dialogue tags
(details)
Model input
User/Human
You are an expert novel writer in the cozy mystery genre. Write a scene of about 200 words, with dialogue between two characters. The dialogue should be unattributed, meaning the speaker is not explicitly mentioned. The scene should be set in a small town bakery. Only return the story, nothing else.
Model response
Messages
Meta
AI
The light in Maple Hollow Bakery was butter-yellow at seven, and the air smelled of cinnamon, yeast, and rain coming over the hills. Behind the glass case, a tray of cardamom rolls glistened, and the bell over the door had not yet rung for the first customer. "You're early." "Could not sleep." "Because of the note?" "Because of the flour on your sleeve. You have been here since four." "I wanted to be here when no one else was." "Did you find anything?" "Under the counter, where Mrs. Ellis keeps the receipts. It was not there yesterday." "What was not?" "The missing butter order. But the new one... it lists vanilla extract we never bought." "And initials. Those initials." "J. P. again. Same as the library card." "Which points to Pastor James, but he does not bake." "He does not lie about sugar either. Someone wanted us to think he did." "The storm cleared the alley cameras." "Not the bakery window. Look. Reflection." "There. A bicycle. With a basket." "Whose?" "Ask me after I taste that roll. If I am wrong, the mystery is solved anyway." "Then we will know who is sweet on stealing, and who is simply sweet."
created_at
"2026-11-11T10:49:38.381Z"
11/11/2026, 10:49:38 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1724
moderation_latency
(null)
generation_time
3842
tokens_prompt
78
tokens_completion
342
native_tokens_prompt
69
native_tokens_completion
2049
native_tokens_completion_images
0
native_tokens_reasoning
1736
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
0.0010314
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794394178-ueHseOeQOFSDtRHJtsNU"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794394178-dejmvEaavsWqEEvL4Bn3"
upstream_id
"resp_6af448435d34a9244cac47c7"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af448435d34a9244cac47c7"
is_byok
false
latency
1013
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0010314
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%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)