Run: 2026-09-02-01M1HGPHFEB6EAQKVVY6Q74J39

Run Details

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

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_id182717
external_user(null)
streamedtrue
cancelledfalse
latency655
moderation_latency(null)
generation_time19013
tokens_prompt78
tokens_completion1899
native_tokens_prompt129
native_tokens_completion2138
native_tokens_completion_images(null)
native_tokens_reasoning1858
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00102421
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_byokfalse
latency655
model_permaslug"qwen/qwen3.8-flash-20260826"
provider_name"Alibaba"
status200
total_cost0.00102421
cache_discount(null)
upstream_inference_cost0
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
neededCleanfalse
dialogueTags(empty)