NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-09-02-01M1HGPHFEB6EAQKVVY6Q74J39
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
32.6s
Cost:
$0.001024
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
Morning light spilled across cinnamon rolls and proofed sourdough, warming the tiny bakery until the bell announced a guest who smelled of rain and newsprint. Sugar crystals glittered like false snow. Somewhere beneath the counter, a kettle sighed. “Please tell me the lemon bars are still in the case.” “They sold out an hour ago, but the blueberry crumble has a secret ingredient this morning.” “Secret ingredient? In this town, that usually means missing evidence.” “Only if you mean the sugar came from the shop next to the post office, the one with the broken lock.” A gloved finger tapped the counter, then withdrew. The display case reflected a woman in a flour-dusted apron and a man with a notepad. “That matters?” “All the pastries did. Someone swapped the labels. If the inspector sees almond flour marked as coconut, I’m finished.” “Careless, maybe. Criminal, no. Ask Mrs. Bellamy; she bought two slices and found a thimble inside hers.” The man made a small circle in his notepad. “A thimble is not a poison, but it is a warning.” “Then help me find who left a warning before lunch rush.” “I prefer customers who offer coffee first.” The coffee machine gurgled agreement.
created_at
"2026-09-02T16:54:51.907Z"
9/2/2026, 4:54:51 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
655
moderation_latency
(null)
generation_time
19013
tokens_prompt
78
tokens_completion
1899
native_tokens_prompt
129
native_tokens_completion
2138
native_tokens_completion_images
(null)
native_tokens_reasoning
1858
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"
service_tier
(null)
usage
0.00102421
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788368091-lcEg7Ak0oDYFOqxjrmYw"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788368091-tuUo90CdoyEzllGylgm8"
upstream_id
"chatcmpl-c663efce-30cf-97e4-9e22-815f88b36ec1"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-c663efce-30cf-97e4-9e22-815f88b36ec1"
is_byok
false
latency
655
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00102421
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)