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Run: 2026-04-27-01KQ775JGCSECG8BQH8RX9Z96E
Run Details
Model:
Qwen 3.6 Flash
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
19.7s
Cost:
$0.005730
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 rich aroma of cardamom rolls. Martha kept her back to the window, her knitting needles flashing white against her cardigan. "You're scuffing the linoleum with those muddy boots, Eleanor. And you're letting the draft kill my croissants." "Let me in, you old stick. And tell me you heard the rumors about the stranger renting the Miller cottage." "Rumors? In Oakhaven? Nothing stays secret longer than yesterday's sourdough. What's he done?" "He's asking questions about the flood of '98. Specifically, about what the Miller family took to the basement." Martha's needles clicked harder, a frantic staccato. "The Millers drowned. There was no basement, and certainly no treasure." "That's what the town believes. But I saw the stranger dumping a locked metal box into the creek behind the church. And he wasn't alone. Someone helped him." The knitting ceased abruptly. Martha stared at the empty space across the counter, her knuckles whitening around her scarf. "Then you'd better start counting your tea cups, Eleanor. Because if he's digging for the Miller ledger, he'll come back here. And I have a feeling I'm the only one who knows where Arthur hid it."
created_at
"2026-04-27T10:18:42.581Z"
4/27/2026, 10:18:42 AM
model
"qwen/qwen3.6-flash"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
695
moderation_latency
(null)
generation_time
19522
tokens_prompt
81
tokens_completion
4061
native_tokens_prompt
78
native_tokens_completion
3807
native_tokens_completion_images
(null)
native_tokens_reasoning
3523
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
"stop"
usage
0.00573
router
(null)
provider_responses
0
endpoint_id
"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id
"chatcmpl-f4fcd824-907b-9d23-b159-7243e2d390d1"
is_byok
false
latency
695
model_permaslug
"qwen/qwen3.6-flash"
provider_name
"Alibaba"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777285122-8JH7riEUNcvdeojgoqAJ"
session_id
(null)
api_type
"completions"
id
"gen-1777285122-LHUfoODSgaIwn0rcKStz"
upstream_id
"chatcmpl-f4fcd824-907b-9d23-b159-7243e2d390d1"
total_cost
0.00573
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)