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Run: 2026-02-25-01KJBDD2V6N67SM3ADW6A262GY
Run Details
Model:
Qwen 3.5 27B
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
1m 4s
Cost:
$0.016029
Provider:
Alibaba
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 jingled, cutting through the scent of yeast and sugar. Flour dusted the counter like fresh snow, settling on the apron strings. Sunlight filtered through the window, casting shadows on the flour-dusted floor. "You're late." "Traffic on Route 9 was a nightmare. Besides, the ovens are hot." "Don't deflect. The ledger is missing again." "I told you, I put it in the safe. Maybe it fell behind the register." "You checked behind the register. You checked the safe. You checked the flour bin." "Found nothing but a confused mouse and a few stale crumbs." "It’s not the first time. Last week it was the key to the back door." "Coincidence. This town is small. People borrow things." "People don’t borrow ledgers unless they’re hiding something. Or someone." A tray of cinnamon rolls slid across the marble, steam curling into the cool air. "Eat. You look pale." "I can’t eat when the numbers don’t add up. It’s been three days." "Let me worry about the numbers. You worry about the alibi." "Alibi?" "For when the police come asking about the missing cash. They’re already here." The door chimed again. Two uniforms stood on the threshold, hats in hand.
created_at
"2026-02-25T22:06:09.159Z"
2/25/2026, 10:06:09 PM
model
"qwen/qwen3.5-27b-20260224"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
493
moderation_latency
(null)
generation_time
63689
tokens_prompt
81
tokens_completion
5715
native_tokens_prompt
78
native_tokens_completion
6669
native_tokens_completion_images
(null)
native_tokens_reasoning
6376
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.016029
router
(null)
provider_responses
0
endpoint_id
"f3f88554-0c22-4d57-973b-0dec948808e8"
id
"chatcmpl-acceef9f-2aa2-92d4-9107-117b874a1dae"
is_byok
false
latency
493
model_permaslug
"qwen/qwen3.5-27b-20260224"
provider_name
"Alibaba"
status
200
api_type
"completions"
id
"gen-1772057169-3gYR55oYCXkkvHu39WmT"
upstream_id
"chatcmpl-acceef9f-2aa2-92d4-9107-117b874a1dae"
total_cost
0.016029
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)