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Run: 2026-09-02-01M1HHK5DQPM9TZDQD5A2S0W2V
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
1m 23s
Cost:
$0.003150
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
Morning rain tapped the bakery windows, fogging the glass and blurring the streetlamp outside. The kettle had just begun to sing when the bell over the door jingled. A soaked wool coat left a damp print on the flour-dusted mat. “Your lemon drizzle is in the case. It’s the only thing I baked today.” “I didn’t come for cake.” “You’re standing next to it, though.” “Someone’s been reading my letters.” The woman behind the counter paused, then wiped a streak of sugar from the marble slab. “Here? In a bakery, letters are easier to read than scones.” “This one mentioned the old mill. The ledger is still hidden there.” “If you’re writing mystery novels, keep the drafts in a drawer.” “I’m not writing. The handwriting is mine, but I never sent them.” “Then you have two choices. Go home and sleep, or sit and tell me who wants you to think the mill is haunted.” The customer unwound a scarf from the chair and sat. Flour motes drifted in the lamplight as the espresso machine clicked awake. The kettle whistled. Outside, a black umbrella crossed the square and vanished around the bakery’s side entrance. “I think it wants the recipe.”
created_at
"2026-09-02T17:10:41.17Z"
9/2/2026, 5:10:41 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4686
moderation_latency
(null)
generation_time
57584
tokens_prompt
78
tokens_completion
5545
native_tokens_prompt
129
native_tokens_completion
6662
native_tokens_completion_images
(null)
native_tokens_reasoning
6390
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"
service_tier
(null)
usage
0.00315049
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788369041-F6AhwIqaTdsqi0PNw5JC"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788369041-mK6c064HrRSo0cxGz893"
upstream_id
"chatcmpl-4336aa32-b4b6-9800-894c-8b3f52b73f75"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-4336aa32-b4b6-9800-894c-8b3f52b73f75"
is_byok
false
latency
4686
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00315049
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)