NC Bench
Overview
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Run: 2026-02-16-01KHK25627BHA8GBTJKEZ8ERB8
Run Details
Model:
Qwen 3.5 Plus (2026-02-15)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
830
moderation_latency
(null)
generation_time
12182
tokens_prompt
81
tokens_completion
342
native_tokens_prompt
80
native_tokens_completion
297
native_tokens_completion_images
(null)
native_tokens_reasoning
0
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.0007448
router
(null)
provider_responses
0
id
"chatcmpl-f20b081b-7630-9c41-b4e9-45121fbc8cf7"
status
200
is_byok
false
latency
830
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_cost
0.0007448
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
Evaluation details
Result
Evaluator
Details
Meta Data
100.0000%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)