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Run: 2026-11-11-01M753ANGJMJC82SAYCHE27Z6H
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
5.7s
Cost:
$0.001179
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 bakery door gave a jingle as the morning rush settled. Sugar dusted the counter, fresh loaves cooled on the rack, and the display case fogged a little where the blueberry turnovers were still warm. "You came early." "I didn't want to miss the poppy-seed rolls." "They're already half gone, you know." "Half gone at seven? What do people do, run here?" "It's a small town. Running is half the exercise." "Fair enough. Is there one left for the road?" "There's always one left. That's the trick, isn't it? If you make just enough, nobody fights." "But we sold out yesterday by ten." "Yesterday was market day. Today is just Tuesday." "Still feels like yesterday to me. My inbox hasn't stopped buzzing." "Nothing important, I hope." "Just the flower club arguing about lilies again." "Let them argue. Peonies are superior anyway." "Don't start that war in here. Mrs. Alvarez will hear you." "Let her. She knows I'm right." "She knows you have terrible taste, more like." "One roll, please. And whatever is freshest." "For you? The oldest one in the back." "I knew I could count on you." "You always can. Same time tomorrow?" "Wouldn't miss it."
created_at
"2026-11-11T10:44:15.685Z"
11/11/2026, 10:44:15 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2333
moderation_latency
(null)
generation_time
5476
tokens_prompt
78
tokens_completion
378
native_tokens_prompt
69
native_tokens_completion
2345
native_tokens_completion_images
0
native_tokens_reasoning
1999
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
0.0011794
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794393855-C08P3u78D3rxTVlvJOa2"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794393855-u1pXQ2C61yg5IughHbMl"
upstream_id
"resp_6af4470039a7a18b18b24ef9"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af4470039a7a18b18b24ef9"
is_byok
false
latency
1551
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0011794
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)