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Run: 2026-04-27-01KQ77BGWGDA2RHW68SAKG4QJ9
Run Details
Model:
Qwen3.6 Max Preview
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
1m 57s
Cost:
$0.029882
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
Flour dusted the scarred oak counter like fresh snow. The bell above the door had stopped jangling, but the scent of brown sugar and cardamom still clung to the warm, yeast-heavy air. “You left the back door unlatched again.” “I was hauling out the proofing baskets. Besides, nothing worth stealing lives in a flour tin.” “Someone disagrees. There’s a fresh mud print on the linoleum. Size ten, heavy tread.” “Probably just the morning delivery boy. He never wipes his boots.” “The delivery boy wears canvas sneakers. And he certainly doesn’t leave wax seals on the floorboards.” A tarnished brass button rolled from beneath the glass display case, clicking against the tile. “That’s from Mayor Higgins’ wool overcoat.” “Was. Before it got torn off near the alley gate. I found it tucked under a sack of rye.” “He swore he hadn’t left town since Tuesday.” “People swear a lot of things when they’re kneading secrets into their morning routine.” The oven timer chimed, sharp and insistent. “Lock the front. I’ll fetch the broom. And the ledger.” “Best hurry. The cinnamon rolls are burning, and so is his alibi.”
created_at
"2026-04-27T10:21:57.528Z"
4/27/2026, 10:21:57 AM
model
"qwen/qwen3.6-max-preview-20260420"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3123
moderation_latency
(null)
generation_time
116657
tokens_prompt
81
tokens_completion
3318
native_tokens_prompt
78
native_tokens_completion
3818
native_tokens_completion_images
(null)
native_tokens_reasoning
3547
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
0.0298818
router
(null)
provider_responses
0
endpoint_id
"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id
"chatcmpl-63a8e938-5761-96f6-a8d7-d782dd8d8160"
is_byok
false
latency
3122
model_permaslug
"qwen/qwen3.6-max-preview-20260420"
provider_name
"Alibaba"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777285317-NkOIwxxd0ZaOeFryvhOM"
session_id
(null)
api_type
"completions"
id
"gen-1777285317-pS6f76rWdIPWABZtAy1j"
upstream_id
"chatcmpl-63a8e938-5761-96f6-a8d7-d782dd8d8160"
total_cost
0.0298818
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)