Run: 2026-02-16-01KHK25627BHA8GBTJKEZ8ERB8

Run Details

Duration:
12.2s
Cost:
$0.000745
Provider:
Alibaba

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

AI
"The cinnamon rolls look a bit darker than usual this morning." "Just a touch of extra caramelization. Adds depth, don't you think?" "Depth is one word for it. Charcoal is another. Did you get distracted again?" "I was merely checking the ledger. The flour order from last week doesn't add up." "Let the accountant worry about the ledger. You worry about the ovens. If Mrs. Gable comes in and finds her Saturday treat burnt to a crisp, she'll have the town council on the phone before noon." "She won't mind. She loves a crunchy edge." "She loves gossip more. And nothing sparks gossip like a baker who can't tell sugar from soot. Look, scrape off the top layer. It's salvageable." "If I do that, they'll look lopsided." "Better lopsided than black. Besides, if you keep staring at those numbers, you might miss the real story. Didn't you hear? The mayor's prize poodle went missing right after he bought a dozen of your scones yesterday." "That's ridiculous. The dog probably just wandered off." "Or maybe someone wanted to distract the mayor while they snooped in his office. Pass me the icing bag. We need to cover up the evidence before the morning rush starts." "You always assume the worst." "And you always underestimate how much people love a good mystery with their coffee."
created_at"2026-02-16T11:08:01.78706+00:00" 2/16/2026, 11:08:01 AM
model"qwen/qwen3.5-plus-20260216"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency830
moderation_latency(null)
generation_time12182
tokens_prompt81
tokens_completion342
native_tokens_prompt80
native_tokens_completion297
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0007448
router(null)
provider_responses
0
id"chatcmpl-f20b081b-7630-9c41-b4e9-45121fbc8cf7"
status200
is_byokfalse
latency830
endpoint_id"71e0f6c3-7815-4734-92d3-8a04f3b0ca91"
provider_name"Alibaba"
model_permaslug"qwen/qwen3.5-plus-20260216"
api_type"completions"
id"gen-1771240069-bwOggr8l0H6rG9EF2efG"
upstream_id"chatcmpl-f20b081b-7630-9c41-b4e9-45121fbc8cf7"
total_cost0.0007448
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
100.0000% Count dialogue tags n/a
neededCleanfalse
dialogueTags(empty)