Run: 2026-10-20-01M5C6EC60ZA3MTG5MWWKR2Q95

Run Details

Duration:
11.8s
Cost:
$0.000749
Provider:
InferenceNet

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
"The morning special looks a little lopsided." "Lopsided is a style. The blueberries settled." "Blueberries don't leave a note that says 'Sorry about the mess.'" A pause, then the sound of a whisk against ceramic. "You found it behind the sourdough starter?" "Tucked under the ledger. Whoever wrote it has very loopy handwriting and a fondness for semicolons." "Half the town has loopy handwriting. Mrs. Abernathy uses semicolons in her grocery lists." "Mrs. Abernathy also ordered three dozen almond croissants at dawn and paid in nickels." "That's not suspicious. That's Tuesday." A tray clattered onto the counter. "The point is, someone was in the back room before we opened. And they weren't after flour." "Then what?" "The recipe for the apple butter bars is gone. The one with the secret pinch of cardamom." "This town would riot." "Murder seems extreme for cardamom." "Cardamom is a gateway spice. Next thing you know, someone's hiding a body in the proofing drawer." The whisk stopped. "You've thought about this." "Every baker has a contingency plan." "Or murder. Possibly both. Do we tell the sheriff?" "Not yet. First, we see who orders apple butter bars before noon."
created_at"2026-10-20T08:22:00.134Z" 10/20/2026, 8:22:00 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency135
moderation_latency(null)
generation_time11816
tokens_prompt78
tokens_completion1543
native_tokens_prompt65
native_tokens_completion1487
native_tokens_completion_images(null)
native_tokens_reasoning1202
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)
usage0.0007487
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484520-DXd5f2hmVEZD1T9LnNAV"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484520-wxxuA1uaBdS9w6vWDSRO"
upstream_id"gv2_03Rdkzw32INQcx0ZjYMWC"
provider_responses
0
endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_03Rdkzw32INQcx0ZjYMWC"
is_byokfalse
latency135
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.0007487
cache_discount(null)
upstream_inference_cost0
provider_name"InferenceNet"
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)