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Run: 2026-11-11-01M7555FD96FPJK3E0G3Z4X451
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
9.4s
Cost:
$0.002914
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
Rain tapped the bakery windows as the morning trays came out, and the bell over the door tinkled. Warm sugar and yeast hung in the air, and the lemon curd glistened under glass. Outside, Maple Street was quiet except for Mrs. Finch's bicycle. "You're early." "The oat latte was calling my name." "Liar. You heard about the delivery?" "I heard everything. And I heard you let Mrs. Finch take the last lemon tart again." "She bakes for the church. She deserves a tart." "She also bakes for the church. She has two." "Fine. She can have two. Did you see who left this by the flour?" A folded note, smudged with cinnamon, lay beside the register. "No. Who?" "Handwriting like a cobweb. It reads, 'Ask about Tuesday, before the lights go out.'" "Tuesday? The power cut?" "That's what I thought. And look underneath." Tiny poppy seeds, arranged in a perfect circle. "Mother used to do that when something was... lost." "Lost? Or taken?" "Either way, we don't tell the sheriff yet." "You think it's serious?" "I think it's Tuesday, with poppy seeds involved." "When do we tell him?" "After you eat a cardamom roll. If any are left." "There's one. For you." "Then we're in business."
created_at
"2026-11-11T11:16:22.576Z"
11/11/2026, 11:16:22 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1848
moderation_latency
(null)
generation_time
9348
tokens_prompt
78
tokens_completion
471
native_tokens_prompt
69
native_tokens_completion
5814
native_tokens_completion_images
0
native_tokens_reasoning
5373
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
0.0029139
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794395782-iQyEFhBRC51y7RpUEPc3"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794395782-2D2pFndgLfuiQqhzfp24"
upstream_id
"resp_6af44e8726209c2a78e441b5"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44e8726209c2a78e441b5"
is_byok
false
latency
1259
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0029139
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)