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Run: 2026-04-27-01KQ78TNZ2WD5MR62R373Q1VJ4
Run Details
Model:
Qwen 3.6 Flash
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
24.6s
Cost:
$0.005610
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 hung in the air as the back door creaked. Deck ovens hummed, radiating heat that warped the light above cooling racks. "You're breathing hard. Did you run from the Sheriff, or finally catch the culprit?" "Neither. I found the donation box empty. The glass was smashed right through the slot." A pitcher clattered on the counter. "The church bake sale funds? For the new roof? That's three thousand gone, Elara. In a town where everyone knows everyone's business, this screams louder than the oven timer." "I know. But the smashed glass points inward. Someone broke it to frame a break-in, or... someone broke it from the inside to make it look real." "You're certain?" "Positive. And stuck in the splintered wood was a ribbon. Pink silk, with a gold pin shaped like a teapot." A low whistle escaped. "The Harlow House ribbon. If Lady Penelope is skimming charity money, I'm going to need a new recipe for her lemon drizzle cake. One with a heavy dose of arsenic." "Stick to the sourdough, love. We're the good guys. Though I suppose we're the only ones left who haven't lied about the berry count in the muffins." "True enough. Now, help me sweep. If the Mayor walks in, he'll think we're hiding the evidence in the crumbs."
created_at
"2026-04-27T10:47:42.824Z"
4/27/2026, 10:47:42 AM
model
"qwen/qwen3.6-flash"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
659
moderation_latency
(null)
generation_time
24452
tokens_prompt
81
tokens_completion
3782
native_tokens_prompt
78
native_tokens_completion
3727
native_tokens_completion_images
(null)
native_tokens_reasoning
3421
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
0.00561
router
(null)
provider_responses
0
endpoint_id
"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id
"chatcmpl-ff17daee-88f3-98ec-84f8-e6ac8934479d"
is_byok
false
latency
659
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-1777286862-j4lWh7bHDLPdltYEPgOC"
session_id
(null)
api_type
"completions"
id
"gen-1777286862-A8BvCkZN6jxdr7hkvTHH"
upstream_id
"chatcmpl-ff17daee-88f3-98ec-84f8-e6ac8934479d"
total_cost
0.00561
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)