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Run: 2026-11-11-01M754RHKBPYZTHAGEVX21TJRM
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
5.4s
Cost:
$0.001167
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 bell above the door of Honeycrust Bakery jingled in the cold morning air, and the smell of cinnamon rolls still warm from the oven met them like a welcome. "You are up before the sun, that is suspicious in itself." "I could not sleep. Did you lock up last night?" "I thought I did. The back door was open when I got here." "And the blueberry pie is missing." "From the cooling rack?" "From the front case. Left a clean plate, which is politely criminal." "Anyone in town who hates blueberry pie enough to steal it?" "No, but someone loves Mrs. Pemberton's recipe enough to take it." "The recipe was in the drawer, under the register." "It still is. That is the strange part." "Then what was taken?" "Look by the flour bins. Tell me what you see." "A scuff, a dropped glove, and... is that butter on the floor?" "Melted butter, dragged toward the alley." "Whoever came in did not come for pie at all." "They came to make sure we smelled something sweet." "And to leave the back door open for someone else?" "Exactly. Lock that door now, and put the kettle on. We have a mystery to solve before opening."
created_at
"2026-11-11T11:09:18.833Z"
11/11/2026, 11:09:18 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1709
moderation_latency
(null)
generation_time
5425
tokens_prompt
78
tokens_completion
369
native_tokens_prompt
69
native_tokens_completion
2321
native_tokens_completion_images
0
native_tokens_reasoning
1987
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
0.0011674
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794395358-uElZ1MQh7r7Nxknd5NHP"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794395358-O3Bc81Qlzvfj679Rb8eg"
upstream_id
"resp_6af44cdf1ff83c8553084b21"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44cdf1ff83c8553084b21"
is_byok
false
latency
908
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0011674
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)