Run: 2026-09-01-01M1EM9MJPHRHH9MQQRMQDFJWF

Run Details

Duration:
1m 42s
Cost:
$0.029838
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0001% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 50% 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
In the shadowy confines of their secret lair Molly and Bill pored over the stolen invitation to little Timmy's fifth birthday party. The colorful paper promised games cake and a mountain of presents that the duo intended to make their own. Bill this is it. The perfect score. A children's party bursting with gifts we can snatch without anyone noticing until it's too late Molly declared her fingers tracing the layout. Molly I can't believe we're planning to break into a kids' party. Stealing presents from children? That's going to make us the villains of the year but the payday will be worth it Bill responded a mix of doubt and greed in his tone. They examined the floor plan closely. The main hall is here presents table there by the stage. We enter through the service door at 1:50 just as guests arrive Molly pointed out. Service door got it. I'll pick the lock if it's locked but probably not during a party. Then we wait for the right moment when all eyes are on the birthday boy Bill said. Right moment is when they start the magic show. Kids love magicians parents too. That's our window. You take the left side of the table I take the right dump everything into these oversized bags Molly instructed. Bill inspected the bags. Oversized bags good. Like laundry bags but for loot. Once full we head out the same door no looking back. The van is parked two streets over he noted. Two streets over yes. We can't park closer or it looks suspicious. After that we drive to the fence he pays cash for toys in bulk Molly added. They discussed potential problems. What if a parent sees us taking the presents? We say we're moving them to a safer place or something Bill wondered. Safer place? No better to just be quick and quiet. If caught we run. But with our disguises as janitors no one will look twice Molly assured. Janitors perfect. I have the uniforms. Mop in hand we can even pretend to clean while grabbing stuff Bill laughed. Molly smiled. Cleaning the presents away. This heist has comedy written all over it. Imagine the stories later how we robbed a party without a hitch. Without a hitch that's the goal. No alarms no cops just us richer. Let's practice the grab. You go first Bill suggested standing up. They rehearsed the movements around the table whispering commands. Grab bag go. That's the mantra. Repeat it Molly Bill said. Grab bag go. Got it. Now the timing arrive blend wait strike at 2:20 gone by 2:25. Five minutes of glory Molly recited. Bill clapped. Five minutes. That's all we need. This will be our funniest job yet Molly. Two thieves taking candy from babies almost. Not candy presents. But yes. Now any last details? Like what if the presents are too many? We take the biggest ones first Molly asked. Biggest first yes. Prioritize. Electronics then toys. Leave the clothes maybe Bill decided. The planning session lasted well into the night with the thieves fine-tuning their comedic heist to ensure success in stealing every last present from the unsuspecting children's party.
created_at"2026-09-01T13:59:46.532Z" 9/1/2026, 1:59:46 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency545
moderation_latency(null)
generation_time102252
tokens_prompt75
tokens_completion1343
native_tokens_prompt267
native_tokens_completion4916
native_tokens_completion_images(null)
native_tokens_reasoning4261
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"
usage0.029838
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788271186-qPTzN9msdybT0MYzDyOl"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788271186-qqyeYV9ody0AgXI26s7t"
upstream_id"3b7aded4-40ef-9aaa-a35e-6c1c0b240b71"
provider_responses
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endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"3b7aded4-40ef-9aaa-a35e-6c1c0b240b71"
is_byokfalse
latency162
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.029838
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
0.00% Matches word count n/a
neededCleanfalse
words534
0.00% Dialogue to Total Word Ratio
Ratio: 0.37%, Deviation: 49.63%
neededCleanfalse
wordsTotal535
wordsDialogue2
0.0001%