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Run: 2026-03-25-01KMJ8TBD56G39MPBT4RJ6XP1K
Run Details
Model:
Qwen 3 32B
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
10.9s
Cost:
$0.000209
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
13.53%
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 jangled as he stepped into the sun-dappled bakery, the scent of cinnamon and sugar clinging to the air like a second skin. She was behind the counter, dusted with flour, a wooden spoon propped against her ear. “Mondays are my favorite day,”
he said
, leaning a hip against the counter. “Fresh scones, no crowds, and you’re too tired to argue about the jam.” She smirked, sliding a tray of golden scones into the oven. “You’re here for the raspberry, aren’t you? Not the apple-clove or the peach. Just the red stuff.” He tilted his head. “A man can’t admire his favorite color?” The spoon clinked against the counter as she set it down. “Red’s a bold choice. Blood, roses, that jar of jam I found missing from the back shelf Saturday.” He chuckled, but the sound caught in his throat. “Missing jelly? Theft’s a grim way for this town to start spring.” “I’d say it’s pooh-pooh the rabbit. But no one’s handing out laughter.” She paused, tapping the spoon twice against the counter. “I saw you at the hardware store Thursday. Buying a new lock for your cottage.” The scones popped in the oven. He didn’t move. “Funny, I didn’t realize you baked,”
she said quietly
. “Or that you had a sweet tooth for things that aren’t yours.”
created_at
"2026-03-25T10:32:05.289Z"
3/25/2026, 10:32:05 AM
model
"qwen/qwen3-32b-04-28"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
198
moderation_latency
(null)
generation_time
10789
tokens_prompt
98
tokens_completion
837
native_tokens_prompt
73
native_tokens_completion
726
native_tokens_completion_images
(null)
native_tokens_reasoning
487
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
0.00020912
router
(null)
provider_responses
0
endpoint_id
"6b8c829d-3094-45e7-8139-0a67e09060c3"
id
"cmpl-3937945b2dd644d98b4db529762f28b3"
is_byok
false
latency
92
model_permaslug
"qwen/qwen3-32b-04-28"
provider_name
"DeepInfra"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer
(null)
api_type
"completions"
id
"gen-1774434725-3G5dMpxxLEaokXKeJn5O"
upstream_id
"cmpl-3937945b2dd644d98b4db529762f28b3"
total_cost
0.00020912
cache_discount
(null)
upstream_inference_cost
0
provider_name
"DeepInfra"
Evaluation details
Result
Evaluator
Details
Meta Data
13.53%
Count dialogue tags
n/a
neededClean
false
dialogueTags
0
"he said"
1
"she said quietly"