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Run: 2026-04-27-01KQ6ZR9RWEAA4QSNW163JCA00
Run Details
Model:
Qwen 3.5 Plus (2026-04-20)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
34.8s
Cost:
$0.005489
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 chimed, cutting through the thick scent of rising yeast and cinnamon. Flour dusted the windowsill like fresh snow, and the oven timer ticked away in the corner. "Another scone? You've been staring at that crumb for five minutes." "I need the sugar. The sheriff just cornered me behind the display case about the antique locket found in the pie safe." "That explains the trembling. I thought the draft from the delivery door was finally winning." "It's not the draft. Mrs. Gable claimed she baked the victim's favorite tart, but the crust was wrong. Too flaky, exactly like my gran's secret recipe, not the shop's mix." "So, you're saying someone poisoned a councilman and framed the elderly librarian using your family's techniques?" "I'm saying someone knows what's buried in the flour vault, and they're using the town's sweet tooth to dig up the past." "Finish your tea. If this traces back to her ledger, we need to check the grain sacks before the bus tour arrives." "Agreed. But slide the heavy recipe box under the rack first. If the constable returns, I'd rather hide a fortune than explain why my grandmother's handwriting matches the blackmail notes." "Go. I'll hum the national anthem and look innocent."
created_at
"2026-04-27T08:09:07.619Z"
4/27/2026, 8:09:07 AM
model
"qwen/qwen3.5-plus-20260420"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
689
moderation_latency
(null)
generation_time
34789
tokens_prompt
81
tokens_completion
2357
native_tokens_prompt
78
native_tokens_completion
2274
native_tokens_completion_images
(null)
native_tokens_reasoning
1990
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
0.0054888
router
(null)
provider_responses
0
endpoint_id
"8b4a0fbb-6705-4f8d-a7f1-ad18ecc0edbc"
id
"chatcmpl-9a1c70c8-3ef4-9258-8c91-185b9a345fbf"
is_byok
false
latency
689
model_permaslug
"qwen/qwen3.5-plus-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-1777277347-E5rmqeN0bZfGMtHx6CvP"
session_id
(null)
api_type
"completions"
id
"gen-1777277347-M8NJD05qBVGO5sA1BL6N"
upstream_id
"chatcmpl-9a1c70c8-3ef4-9258-8c91-185b9a345fbf"
total_cost
0.0054888
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)