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Run: 2026-09-02-01M1HAHAMVVN752A7F13MQFWS8
Run Details
Model:
Qwen 3.7 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
36.3s
Cost:
$0.000675
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
Brick ovens hummed, warping the labels on jars of wildflower honey. "You've glazed these crullers six times. Hands shaking again? Did you drop a ledger in the mixer, or just your conscience?" A flour-dusted fist hammered a tray. "I'm finishing the order. Focus on margins, not my grip. I've been up all night proofing the brioche." "Proofing or covering tracks? Mrs. Gable saw a black SUV at the back alley at dawn. Convenient timing for a shop that swapped premium cream cheese for the cheap substitute." "Mrs. Gable mistakes shadows for burglars. Cheap cheese keeps overhead low. Business requires sacrifice." "Business doesn't require a three-thousand-dollar withdrawal last Tuesday. Or whispering with Deputy Miller by the community center. He knows something, doesn't he? Or knows *you*?" "Miller buys Tuesday bagels. That's his sin. You want proof? Check my apron. Flour, sugar, and a deed to the vacant lot on Elm Street." "Elm Street? Where the council wants to build the gazebo? You're hoarding property while the town celebrates harvest season. You're not just baking, are you? You're cornering the market." "Everyone eats, darling. Some of us just know which recipe yields the highest leverage. Now scoot, unless you want to end up as a topping on the wedding cake."
created_at
"2026-09-02T15:06:56.041Z"
9/2/2026, 3:06:56 PM
model
"qwen/qwen3.7-flash-20260727"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
300
moderation_latency
(null)
generation_time
36184
tokens_prompt
78
tokens_completion
4936
native_tokens_prompt
78
native_tokens_completion
5178
native_tokens_completion_images
(null)
native_tokens_reasoning
4872
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
0.00067548
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788361616-eCoj1Gzai8jCVHTPYh8K"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788361616-9caE4FgTivfds5thjFIw"
upstream_id
"chatcmpl-6a08261e-2e27-9438-8011-765c699d2132"
provider_responses
0
endpoint_id
"5a9a0ee6-874a-4d03-92be-e5094c0df4e7"
id
"chatcmpl-6a08261e-2e27-9438-8011-765c699d2132"
is_byok
false
latency
300
model_permaslug
"qwen/qwen3.7-flash-20260727"
provider_name
"Alibaba"
status
200
total_cost
0.00067548
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)