Run: 2026-09-01-01M1EKSSBJ965WST6H1Z7JVD3K

Run Details

Duration:
1m 39s
Cost:
$0.035516
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 small-town bakery on Maple Street hummed with the gentle sounds of a new day, ovens warming and coffee brewing, the air thick with scents of vanilla and rising dough. Sunlight danced across the checkered floor as two friends gathered by the display case, their usual banter replaced by hushed tones of concern over the mystery unfolding in their tight-knit community. The familiar clink of teacups from a nearby table added to the cozy atmosphere, yet tension hung in the air. "I still can't believe it happened so close to here." "Finding him in the alley with that note in his pocket." "The note that mentioned the secret recipe? That's too coincidental." "Someone wanted it badly enough to kill?" "It seems so. And the recipe was for the prize-winning pie." "The one that won the county fair last year." "Yes. We should check if anyone new has been asking about it." "There was that tourist yesterday, taking pictures of everything." "Including the kitchen? That's suspicious." "We need to review the camera footage tonight." "And maybe search the storeroom for clues." "Be careful not to alert anyone. If the killer is among us..." "We'll stick together. This bakery has seen us through worse."
created_at"2026-09-01T13:51:07.143Z" 9/1/2026, 1:51:07 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency668
moderation_latency(null)
generation_time99342
tokens_prompt78
tokens_completion680
native_tokens_prompt268
native_tokens_completion5862
native_tokens_completion_images(null)
native_tokens_reasoning5590
native_tokens_cached128
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"
usage0.035516
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788270667-3Vx4q7wynGEvKZPXsT87"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788270667-0BnrbSwUQskT2VU4OB8G"
upstream_id"1a36f11c-1556-9fc1-8130-86972c7b5159"
provider_responses
0
endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"1a36f11c-1556-9fc1-8130-86972c7b5159"
is_byokfalse
latency603
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.035516
cache_discount0.000192
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)