Run: 2026-09-01-01M1ENPT6AAQ0Q0A07TAGMRBXE

Run Details

Duration:
1m 33s
Cost:
$0.031916
Provider:
xAI

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 tinkled as the last of the early customers left the small town bakery, leaving behind the rich smell of baking bread and brewing tea. Behind the glass case filled with éclairs and tarts, the owner arranged the remaining items while her friend, a local historian, helped by wiping down tables. They spoke in hushed tones, the mystery of recent events hanging in the air like the steam from the kettle. "I found this old photograph in the attic yesterday." "Is that the former owner of this bakery? She looks familiar." "Yes, and she's wearing a necklace that matches the one stolen from the museum last week." "Stolen? I thought it was just misplaced." "That's what they said, but I have my doubts. Look at the date on the back." "1947. That's around the time of the big fire." "Exactly. I think there's a connection to the unsolved arson." "We need to be careful who we tell. This could stir up old wounds." "True, but the truth always comes out in the end, especially in a town this small." "You're right. Let's meet tonight to go over the clues." "Perfect. I'll bring the leftover pie." The two exchanged knowing glances, the wheels of amateur detection already turning.
created_at"2026-09-01T14:24:26.84Z" 9/1/2026, 2:24:26 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency512
moderation_latency(null)
generation_time93361
tokens_prompt78
tokens_completion589
native_tokens_prompt268
native_tokens_completion5294
native_tokens_completion_images(null)
native_tokens_reasoning5023
native_tokens_cached256
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"completed"
service_tier"default"
usage0.031916
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788272666-c0VxW36ANRSJJsti3lxk"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788272666-xRbgj769AwtAzwIWVmfD"
upstream_id"269614d1-b4f0-9d43-92d4-9cfd949ed528"
provider_responses
0
endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"269614d1-b4f0-9d43-92d4-9cfd949ed528"
is_byokfalse
latency155
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.031916
cache_discount0.000384
upstream_inference_cost0
provider_name"xAI"
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)