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Run: 2026-04-27-01KQ74FRE3CYY5H72KPJGRAKJ0
Run Details
Model:
Qwen 3.6 27B
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
1m 30s
Cost:
$0.020894
Provider:
Morph
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
Flour dust hung over the scarred oak counter. Fresh sourdough slid onto the cooling rack as the brass bell pinged. “You’re early.” “Main Street was quiet. I needed to ask about yesterday’s delivery.” “Everything arrived before dawn, as contracted. The flour, oats, and vanilla.” “Then the empty crate at the back alley doesn’t match the ledger. Who signed?” “Only Mrs. Gable takes crates that size. But she hasn’t passed the clock tower in three days.” “Three days breaks a bakery’s rhythm. Did you see the blue van?” “Blue van, green van, identical to me. I knead dough and watch timers. Look past the cases if you want answers.” “The display is where I found the silk handkerchief. Stitched with a raven. No rural decor.” “Put it on the desk. Came yesterday. Wrong order, wrong name. I meant to return it.” “To whom?” “The tag says ‘Havenbrook Estate.’ Closed since the fire.” “Why send it here, wrapped around a missing crate of premium grain?” “Maybe they wanted a quiet place to make a switch. Or maybe they just liked rising bread. The ledger won’t lie. The signature reads Thomas.” “Thomas is your nephew. He works the evening shift.” “So I hear.”
created_at
"2026-04-27T09:31:50.604Z"
4/27/2026, 9:31:50 AM
model
"qwen/qwen3.6-27b-20260422"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
773
moderation_latency
(null)
generation_time
90293
tokens_prompt
81
tokens_completion
6815
native_tokens_prompt
78
native_tokens_completion
8688
native_tokens_completion_images
(null)
native_tokens_reasoning
6486
native_tokens_cached
64
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
"stop"
usage
0.0208941
router
(null)
provider_responses
0
endpoint_id
"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id
"b6348d7888364d8a88686806bc9daf08"
is_byok
false
latency
609
model_permaslug
"qwen/qwen3.6-27b-20260422"
provider_name
"Morph"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777282310-WOmXtxYaG3yFXnXLPqh6"
session_id
(null)
api_type
"completions"
id
"gen-1777282310-xsdDdzSHtA5qlPnAoHnf"
upstream_id
"b6348d7888364d8a88686806bc9daf08"
total_cost
0.0208941
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Morph"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)