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Run: 2026-11-11-01M754NVZAD18WE7S8810YDWM3
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
10.0s
Cost:
$0.002999
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 jingled as rain tapped the windows of Willow Creek, and the case of blueberry muffins was already empty by nine. Steam fogged the windows and blurred the empty Main Street outside. "You're early for someone who swore she was sleeping in today." "Couldn't. The bakery's back door was standing wide open when I got here." "Wide open? In this weather? Did you lock it last night?" "Of course I locked it. Double-checked, even. And the flour sack?" "What about it?" "Moved. It was by the pantry, remember? Now it's halfway to the freezer, and there's mud on the tile. Not much, just a single footprint." "Single?" "Left foot. Size ten, maybe. And the delivery van?" "Parked out back, engine still warm. But I didn't see anyone." "Did you see the recipe ledger?" "The one with your grandmother's notes? It's always in the office drawer." "Not today. Drawer was open. Ledger's gone." "Could Old Mrs. Hart have taken it for safekeeping? She did mention something about that new developer wanting the building." "Don't be ridiculous." A tray clattered loudly in the kitchen behind them. "Did you just drop that, or should we run right now?"
created_at
"2026-11-11T11:07:51.152Z"
11/11/2026, 11:07:51 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1557
moderation_latency
(null)
generation_time
9937
tokens_prompt
78
tokens_completion
457
native_tokens_prompt
69
native_tokens_completion
5984
native_tokens_completion_images
0
native_tokens_reasoning
5575
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
0.0029989
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794395271-b2bxDR209JZR6LQ70ciX"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794395271-VvzRdA35ntdR3BeLRYKm"
upstream_id
"resp_6af44c876dccbabaa4db4238"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44c876dccbabaa4db4238"
is_byok
false
latency
615
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0029989
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)