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Run: 2026-09-02-01M1HJ3Q6TEES0MXDVPSBFGMNP
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
1m 15s
Cost:
$0.002477
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 over the bakery door chimed twice. Rain streaked the window behind the flour-dusted display case, and the ovens ticked as they cooled. Only one lemon bar remained, glowing under a glass lid like a small, yellow warning. “I saw the light on from my porch.” “I left it burning.” “You always burn things.” “Not things. Memories.” A dark sleeve brushed powdered sugar from the counter. “Then tell me about Tuesday.” “Tuesday had jam.” “Tuesday had a body.” A spoon clattered into the sink. Somewhere below the floorboards, the bakery’s ancient pipes sighed. “Who told you that?” “No one. I guessed from the apron.” “Aprons get dirty.” “Aprons get guilty.” The glass lid lifted, then closed again, as if protecting the lemon bar—or hiding its shape. “You should have brought an umbrella.” “I brought a question.” “Bad weather for questions.” “Better than missing the last lemon bar.” Outside, the mail truck pulled away. Inside, neither hand reached for the pastry. The register drawer stayed shut. Between the display case and the door, wet footprints crossed the old tile, though no one left. A newspaper folded beside the espresso machine bore a headline underlined twice in red ink. Nothing moved.
created_at
"2026-09-02T17:19:18.754Z"
9/2/2026, 5:19:18 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
743
moderation_latency
(null)
generation_time
75316
tokens_prompt
78
tokens_completion
4439
native_tokens_prompt
129
native_tokens_completion
5228
native_tokens_completion_images
(null)
native_tokens_reasoning
4941
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
0.00247651
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788369558-CUU7Uimfl6OHhlgxtT94"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788369558-Tcu6kRdU1WklamFfn8ZR"
upstream_id
"chatcmpl-80ac880d-7499-9ce8-ad46-ee702b124acb"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-80ac880d-7499-9ce8-ad46-ee702b124acb"
is_byok
false
latency
743
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00247651
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)