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Run: 2026-11-11-01M755F4E5ETRWXMKVCC9F2MM4
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
4.8s
Cost:
$0.001313
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 over the bakery door chimed, and the smell of cinnamon rolls still warm from the oven rolled over me like a sigh. “You’re going to tell me it’s the cat again, aren’t you?” “I would, if I’d seen the cat.” “Then what brings the town’s most punctual deputy in before dawn?” “Free coffee and a muffin. Also, I wanted to see if Mrs. Laird’s recipe tin was still in the back.” “It’s gone. Cleaned out like someone knew exactly where she kept it.” “When?” “Sometime between closing and my first batch, around five. The back door latch was lifted, not broken. Polite, even.” “That’s not a burglar, that’s a neighbor.” “Exactly what I was thinking. The lemon bars were her secret, and half the town has been trying to steal that recipe for thirty years.” “Did anyone else have a key?” “Just you, me, and Ruth, who’s been home since Tuesday with that twisted ankle.” “Her alibi’s solid, then. But the new helper started yesterday.” “The one from the city? With the fancy knife set?” “Exactly. She asked a lot of questions about the lemon bars.” “We should ask her a few too, before the morning rush makes this a town meeting.”
created_at
"2026-11-11T11:21:39.032Z"
11/11/2026, 11:21:39 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1274
moderation_latency
(null)
generation_time
4797
tokens_prompt
78
tokens_completion
402
native_tokens_prompt
69
native_tokens_completion
2612
native_tokens_completion_images
0
native_tokens_reasoning
2262
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
0.0013129
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794396099-DTU0a2dhUsJ9MkjPw1BR"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794396099-fx3vuGQ8LzRuxqioU566"
upstream_id
"resp_6af44fc378d7d482f1714eee"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44fc378d7d482f1714eee"
is_byok
false
latency
415
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0013129
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)