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Run: 2026-11-11-01M754KHZX4GP91X1TGNCCNDRR
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
4.4s
Cost:
$0.001080
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 door tinkled as early light spilled across the glass case of blueberry scones. "You're early." "Couldn't sleep. Not with half the town asking about Fern's keys." "Found them in the flour bin?" "Under the counter, sticky with honey. Somebody tossed them there on purpose." "Who'd do that?" "Whoever didn't want her opening up at five." "She was supposed to bake for the Harvest Fair committee this morning." "Exactly. And now her oven's cold, her ledger's gone, and the spare key's missing from the hook." "Did you see anyone last night?" "Only Old Tom walking his dog past the alley. Said he heard a thump around back, like a crate dropping." "A crate? We don't get deliveries on Tuesdays." "Unless it wasn't a delivery." "Are you thinking what I'm thinking?" "I'm thinking Fern didn't just forget to come in. I'm thinking someone wanted the bakery empty." "Then we'd better check if her back door lock was forced." "It wasn't. That's the curious part. Whoever it was, they had a key." "You mean someone she trusted." "That's what worries me. Small towns keep secrets warm, just like these rolls. You want one? On the house, until Fern's home to fuss." "I'll take two. For luck."
created_at
"2026-11-11T11:06:35.395Z"
11/11/2026, 11:06:35 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1536
moderation_latency
(null)
generation_time
4421
tokens_prompt
78
tokens_completion
382
native_tokens_prompt
69
native_tokens_completion
2146
native_tokens_completion_images
0
native_tokens_reasoning
1804
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
0.0010799
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794395195-7cMbfn4FHmzpcuREIZsH"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794395195-npeCXhlzptlOK6v4e66J"
upstream_id
"resp_6af44c3ba2976239313647d0"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44c3ba2976239313647d0"
is_byok
false
latency
639
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0010799
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)