Run: 2026-05-01-01KQHQH8QJJMPRT04S73M4GJ2W

Run Details

Duration:
1m 58s
Cost:
$0.025745
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0000% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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 a shady corner of the neighborhood away from prying eyes the two thieves Molly and Bill were deep in discussion about their next outrageous scheme. The target was no ordinary location but a vibrant children's party teeming with joy and more importantly piles of wrapped presents that held the promise of valuable loot. Molly and Bill sat in their van staring at the mansion where the children's party was in full swing. Balloons dotted the lawn and laughter filled the air. Molly unrolled her map with a grin. Bill this is the big one. We're crashing little Emily's princess party to swipe all those fancy presents. The place is loaded with gold-wrapped boxes that scream expensive toys and gadgets from rich relatives. Bill looked horrified his face pale against the backdrop of colorful party decorations visible in the distance. He thought about all the silly disguises they had prepared including bright wigs and funny noses that would help them blend in with the hired entertainers. This job felt different from their usual heists because it involved tiny humans who still believed in magic and birthday wishes. Molly are you kidding me? Breaking into a children's party to steal presents? That's not a heist that's a timeout from life. What if the birthday girl catches us? Molly laughed picturing the ridiculous scene of them trying to juggle while sneaking gifts into large bags designed to look like garbage sacks from the catering company. The plan involved creating distractions with bad magic tricks and popping balloons at strategic moments to cause confusion. She was confident it would work because parents at these events were usually distracted by their own conversations and kids running wild. Come on Bill where is your imagination? These kids get so many presents they won't even notice a few missing. We'll go in disguised as hired entertainers. You juggle and I'll make balloon animals but really stuff the gifts in our bag. Parents are too busy with their phones. The cautious thief considered the escape plan involving their van disguised as an ice cream truck parked nearby. It could be a disaster if a kid asked for a cone during their getaway. However the potential haul of high end toys and designer clothes meant for the birthday girl could set them up for months of luxury. Bill eventually warmed to the idea as the comedic potential became clear in his mind. This better work Molly or we're done for. Kids can be ruthless. When do we go? We strike at peak present opening time. Get ready to become the greatest party crashers in history Bill. This will be our masterpiece. With the plan set they began changing into their outrageous costumes complete with oversized shoes and bright red noses. The two thieves prepared for what promised to be the most hilarious and unconventional heist of their careers. The absurdity of the situation wasn't lost on them as they chuckled about possible outcomes like a kid pulling off Bill's fake beard or Molly getting roped into leading a game of musical chairs. But with their expertise in comedic timing and smooth operations they felt oddly prepared for this bizarre break-in to steal all the presents from the unsuspecting children.
created_at"2026-05-01T12:17:07.32Z" 5/1/2026, 12:17:07 PM
model"x-ai/grok-4.20-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency113082
moderation_latency(null)
generation_time117665
tokens_prompt77
tokens_completion1807
native_tokens_prompt184
native_tokens_completion10233
native_tokens_completion_images(null)
native_tokens_reasoning9635
native_tokens_cached64
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"
usage0.0257453
router(null)
provider_responses
0
endpoint_id"3ecee37f-b217-4093-87fb-aaf0afe307af"
id"0944f374-2df9-7f1a-a8fc-0deb635445d9"
is_byokfalse
latency99
model_permaslug"x-ai/grok-4.20-20260309"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777637827-xIsVh6QGd7cTnTuM7O6p"
session_id(null)
api_type"completions"
id"gen-1777637827-8GhYABd4jRFtDP2mV2HT"
upstream_id"0944f374-2df9-7f1a-a8fc-0deb635445d9"
total_cost0.0257453
cache_discount0.0000672
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words541
0.00% Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 30.00%
neededCleanfalse
wordsTotal543
wordsDialogue0
0.0000%