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Run: 2026-10-13-01M4TAGS9P5NK3CBPFGC4PQEJK
Run Details
Model:
Muse Wonder (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
10.8s
Cost:
$0.030512
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 above the door at Honeycrumb Bakery chimed as flour dust drifted through the late-morning light, settling over trays of cinnamon rolls and a suspiciously empty display case. "You moved the lemon tarts again." "I did not move the lemon tarts. Someone ate the lemon tarts." "There were twelve at nine o'clock." "And now there are four, which proves my point about someone with excellent taste and no self-control." "The register was short eight dollars, too." "Maybe the tart thief pays in compliments instead of cash. Mrs. Abernathy did call them heavenly." "She also hasn't left the library since Tuesday, so unless she can walk through walls—" "Small towns have produced stranger talents. Remember the mayor's disappearing parking tickets?" "That was different. That was a shredder." "Exactly. Always a perfectly ordinary explanation, if you look under the counter." "Is that a confession or a crumb trail?" "Those are croissant flakes. Completely innocent croissant flakes." "They lead straight to the office where someone hid the delivery list, the spare key, and—" "A profound misunderstanding about inventory?" "Or the missing recipe card for these very tarts." "Ah. Then perhaps we should follow the flakes before the trail goes cold."
created_at
"2026-10-13T09:46:53.632Z"
10/13/2026, 9:46:53 AM
model
"meta/muse-wonder-20261012"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2534
moderation_latency
(null)
generation_time
10738
tokens_prompt
78
tokens_completion
373
native_tokens_prompt
68
native_tokens_completion
1512
native_tokens_completion_images
0
native_tokens_reasoning
1190
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
"auto"
usage
0.030512
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791884813-myPtza0onHf5gIoWYF1P"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791884813-6V6yQjsMM2xHzPbXX1yM"
upstream_id
"resp_6acdfe0e2f5af479299248ba"
provider_responses
0
endpoint_id
"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id
"resp_6acdfe0e2f5af479299248ba"
is_byok
false
latency
623
model_permaslug
"meta/muse-wonder-20261012"
provider_name
"Meta"
status
200
total_cost
0.030512
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)