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Run: 2026-11-11-01M755XHBZQ58VEYZGEAAG7E20
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
5.8s
Cost:
$0.002064
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
"You're up early, which means either you're cheating on your diet, or there's trouble in Willow Creek." "Both, actually. I need the chocolate muffin, the one with the cracked top. The one you don't sell to tourists." "That one. Trouble is, it's already sold. And not even to a tourist." "To whom? Don't tell me it's Marge again. She'd eat it over the sink." "Not Marge. Someone paid cash, asked for it in a brown paper bag, and asked me not to mention any of it. Then they left through the back, before the front bell stopped." "Cash, bag, back door. That's our mayor's son, isn't it? The one who claims he's in Portland?" "I didn't say that." "You didn't have to. He owes you money for the wedding cake." "Your sister believes a lot of things. Besides, the muffin wasn't the strangest part." "What was?" "The way he kept looking over his shoulder at the Miller house. Like he expected someone to climb out of the window." "The Miller house is empty. Has been since the fire." "That's what I thought, too. Until I saw the light on last night. Just one lamp, upstairs. And a shadow."
created_at
"2026-11-11T11:29:31.013Z"
11/11/2026, 11:29:31 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1362
moderation_latency
(null)
generation_time
5812
tokens_prompt
78
tokens_completion
380
native_tokens_prompt
69
native_tokens_completion
4115
native_tokens_completion_images
0
native_tokens_reasoning
3762
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
0.0020644
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794396571-CIa7F4he53eHCgXdlqHl"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794396571-Hl9yyuwgpqqD5nGKQXw1"
upstream_id
"resp_6af4519b6ea877d3515b4e8a"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af4519b6ea877d3515b4e8a"
is_byok
false
latency
329
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0020644
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)