Run: 2026-09-01-01M1EMD79NFDTDRBAG0RCTW3V8

Run Details

Duration:
2m 52s
Cost:
$0.044676
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
66.94% Dialogue to Total Word Ratio (details)
83.3445% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
"Bill, we have to break into that children's party," Molly said. "Steal every present there is." "Why a kids' party?" Bill asked. "That's mean." "Because it's unexpected. No one guards toys." "There are adults." "Busy with photos and food." "How do we carry them all?" "In backpacks. School backpacks. Blend with kids? No, too big." "We're adults." "Pretend we're the uncles. Cool uncles bringing more." "Then take them away." "Yes. 'Oh these are extras, we'll store them.'" "Might work." "It will. Timing after the piñata." "Piñata is candy." "Presents after." "Let's hope they don't open them immediately." "If they do, we snatch the opened ones too." "Opened? Harder to sell." "Still good. Now, the van is packed with empty boxes for swapping." "Smart." "I know. This heist will be hilarious when we tell the story." "If we don't go to jail." "We won't. Positive thinking." "Okay, Molly. Let's steal from the children." "That's the spirit, Bill." "We tell him it's a game." "Genius idea." "Thanks. Two pm entry." "Magician distraction. Perfect." "Don't take the rabbit." "Only the presents, promise." "This heist is comedy." "Let's hope we laugh later." "We will." "Remember, we sneak, no breaking really."
created_at"2026-09-01T14:01:43.998Z" 9/1/2026, 2:01:43 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency600
moderation_latency(null)
generation_time172359
tokens_prompt75
tokens_completion829
native_tokens_prompt267
native_tokens_completion7389
native_tokens_completion_images(null)
native_tokens_reasoning7042
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"
usage0.044676
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788271303-FswtRdr5iZyLBrryp2Ky"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788271303-fQxuWvPfriQn1pYH31ZT"
upstream_id"e1f08687-76cf-9993-b14c-c837dc99e08a"
provider_responses
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endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"e1f08687-76cf-9993-b14c-c837dc99e08a"
is_byokfalse
latency144
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.044676
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
99.74% Matches word count n/a
neededCleanfalse
words196
66.94% Dialogue to Total Word Ratio
Ratio: 97.96%, Deviation: 7.96%
neededCleanfalse
wordsTotal196
wordsDialogue192
83.3445%