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Run: 2026-04-27-01KQ7076JJ9GZNWRA9A02BWCE7
Run Details
Model:
Qwen 3.5 Plus (2026-04-20)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
39.6s
Cost:
$0.006252
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 jingled, cutting through the thick scent of yeast and burnt sugar. Morning light strained against the fogged window, illuminating dust motes dancing over the scarred oak counter where a tray of cooling scones sat forgotten. "You saw the police cruiser, didn't you?" "Hard to miss. It was double-parked by the hydrangeas, lights off but siren ready." Flour drifted from her apron like fresh snow, coating the counter. "Mrs. Gable swore the back alley lock was smashed before sunrise. Metal sheared clean." "Or someone forgot their key again. We all know how the sheriff gets when his coffee runs cold; he bangs doors." "This wasn't flustered, Elias. It was deliberate. Look what I found wedged inside the proofing box, buried under the rye dough." A crumpled photograph slid across the wood, landing with a soft slap against a basket of croissants. The paper edge was black and crisp. "That's the mayor's summer house. From the fire three years ago." "Exactly. So tell me, who's sneaking around my kitchen at four in the morning burning evidence?"
created_at
"2026-04-27T08:17:15.863Z"
4/27/2026, 8:17:15 AM
model
"qwen/qwen3.5-plus-20260420"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
717
moderation_latency
(null)
generation_time
39560
tokens_prompt
81
tokens_completion
2558
native_tokens_prompt
78
native_tokens_completion
2592
native_tokens_completion_images
(null)
native_tokens_reasoning
2338
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
0.006252
router
(null)
provider_responses
0
endpoint_id
"8b4a0fbb-6705-4f8d-a7f1-ad18ecc0edbc"
id
"chatcmpl-e7374a73-44c4-9b0b-8973-060056c4e8c7"
is_byok
false
latency
717
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-1777277835-d0GagRDRae8gHM2NXsWM"
session_id
(null)
api_type
"completions"
id
"gen-1777277835-H28owvYDeBjggRS90A3f"
upstream_id
"chatcmpl-e7374a73-44c4-9b0b-8973-060056c4e8c7"
total_cost
0.006252
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)