Run: 2026-09-03-01M1KBW91BS0T711399AFKQM83

Run Details

Duration:
15.2s
Cost:
$0.000280
Provider:
Mancer 2

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 bell above the bakery door chimed, and the scent of cinnamon and warm sourdough curled through the air. Behind the glass counter, a woman with flour-dusted fingers paused mid-fold of a croissant. “You’re early. The morning batch isn’t even out of the oven yet.” “Early bird catches the, ah, the burnt edge of a scone, I suppose.” He tapped the glass. “That one there. The lopsided one. Looks like it’s been through something.” “They all have stories. That one’s a rum cake. No, wait. That’s a danish. I’m still waking up.” “You’re never still waking up. You’re the one who told me the secret to a good crumb is patience and spite.” “And you’re the one who told me the mayor’s wife didn’t actually slip on the ice last week.” A pause. The woman wiped her hands on her apron, eyes narrowing. “You think she was pushed.” “I think somebody wanted her off the zoning board before the vote on the old mill. And I think you baked her a sympathy pie with a note that said ‘Get well soon’ and your phone number on it.” “I baked her a pie because her husband’s a terrible cook and she’s a good woman.” “You baked her a pie because you wanted to see if she’d mention the shoe print.” The woman smiled slowly. “The shoe print in the snow? The one the sheriff said was a deer?” “The one the sheriff said was a deer,” he echoed. “You’re a terrible liar, Mabel.” “I’m an excellent liar. I just don’t waste it on people who already know the truth.” She slid the lopsided pastry into a bag. “On the house. Consider it a bribe.”
created_at"2026-09-03T10:08:52.283Z" 9/3/2026, 10:08:52 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1323
moderation_latency(null)
generation_time13495
tokens_prompt78
tokens_completion562
native_tokens_prompt144
native_tokens_completion512
native_tokens_completion_images(null)
native_tokens_reasoning137
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)
usage0.00028
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788430132-TCJwZjtFNZCd64RZQdKn"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788430132-D4lWQaYIGXjK9202TTOD"
upstream_id"01a066be2bcf0091"
provider_responses
0
endpoint_id"47a93b18-a9c6-485b-9a47-2afb6ca790dc"
is_byokfalse
latency45
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"BaseTen"
status429
1
endpoint_id"14c4df90-c7af-42ff-99e7-69d62a89e7d5"
is_byokfalse
latency1188
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"AkashML"
status429
2
endpoint_id"fc1cac03-9834-4ed8-8dfe-2dfb8543b690"
is_byokfalse
latency384
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Morph"
status429
3
endpoint_id"9c83b6fb-0614-4d50-b30b-123a09ba354a"
id"01a066be2bcf0091"
is_byokfalse
latency1236
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Mancer 2"
status200
total_cost0.00028
cache_discount(null)
upstream_inference_cost0
provider_name"Mancer 2"
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)