Run: 2026-09-02-01M1HAHAMVVN752A7F13MQFWS8

Run Details

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

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_id182717
external_user(null)
streamedtrue
cancelledfalse
latency300
moderation_latency(null)
generation_time36184
tokens_prompt78
tokens_completion4936
native_tokens_prompt78
native_tokens_completion5178
native_tokens_completion_images(null)
native_tokens_reasoning4872
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)
usage0.00067548
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_byokfalse
latency300
model_permaslug"qwen/qwen3.7-flash-20260727"
provider_name"Alibaba"
status200
total_cost0.00067548
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)