Run: 2026-09-01-01M1EKSSHY9Q59GT3PVYSHMHR1

Run Details

Duration:
2m 21s
Cost:
$0.049812
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
97.99% Dialogue to Total Word Ratio (details)
98.8665% 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
Molly leaned in. "Bill, tomorrow we hit the kids' party. Steal all presents during the chaos of games and cake." Bill frowned. "That's terrible, Molly. Kids will be heartbroken." "Heartbroken kids don't concern us. The loot does. Disguise as entertainers. You the clown, me the magician. Distract, then grab everything," Molly said. "Clown makeup itches. Magician better. Pull scarves, pocket gifts," Bill replied. "Scarves yes. Timing crucial. In at start, out before parents notice missing pile," Molly continued. "What if a child spots us taking a toy? We run, no confrontation," Bill warned. "Exactly. Comedy heist style. Slip, trip, presents in bag. Use a big gift bag as cover," Molly planned. "Gift bag brilliant. Fill it, walk out smiling. 'Thanks for inviting us,' we say," Bill added. "Yes. Practice the smile. This score funds our next job. No more small time," Molly declared. "Alright, I'm in. Let's steal those presents comically," Bill agreed. Molly smiled. "We'll laugh about this for years. The time we robbed a piƱata party." Bill nodded. "As long as we don't get caught by a six year old detective." "The presents will fund our retirement. Imagine, all those toys sold," Bill dreamed.
created_at"2026-09-01T13:51:07.357Z" 9/1/2026, 1:51:07 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency561
moderation_latency(null)
generation_time140483
tokens_prompt75
tokens_completion792
native_tokens_prompt267
native_tokens_completion8245
native_tokens_completion_images(null)
native_tokens_reasoning7961
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"
usage0.049812
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788270667-L8aqtBcg9qdSvoBWsjny"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788270667-HMmOA8H8ui0kRs6FGtYP"
upstream_id"ddcfb825-a1b6-9e44-ae30-57972eef0579"
provider_responses
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endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"ddcfb825-a1b6-9e44-ae30-57972eef0579"
is_byokfalse
latency498
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.049812
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
97.99% Dialogue to Total Word Ratio
Ratio: 86.22%, Deviation: 3.78%
neededCleanfalse
wordsTotal196
wordsDialogue169
98.8665%