Run: 2026-05-01-01KQHRSC62SVR9DCGBHJXH5GPK

Run Details

Duration:
1m 54s
Cost:
$0.026841
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
66.06% Dialogue to Total Word Ratio (details)
33.0280% 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
Molly adjusted her fake glasses as she and Bill reviewed the map of the party venue behind a large oak tree. The children's party was in full preparation with workers inflating balloons and setting up tables with treats. The pair of thieves had spent days casing the joint realizing that the abundance of presents made it an irresistible target. Though it seemed silly stealing from a kids party could yield high value items like electronics and toys that could be resold. They had come up with the idea after seeing the invitation list included many wealthy families. It was almost too perfect an opportunity to pass up for the dynamic duo. "Bill, I think we should enter through the side door during the magic show. That will give us the best cover," Molly said confidently. Bill nodded but looked nervous. "Are you sure this is a good idea? These are little kids. What if we scar them for life?" he asked. Molly punched him lightly on the arm. "Don't go soft on me. Those kids have too many toys anyway. They'll never miss a few. You will dress as the magician and I will be the assistant," she replied firmly. The tree provided excellent cover as they observed the arriving guests with wrapped packages. Birds chirped overhead mocking their scheme. The entire situation felt like a scene from a bad comedy movie but they were committed to seeing it through no matter how absurd it got. "We use the wagon. We'll pretend it's part of a game. Parents won't suspect a thing if we look confident," Molly explained. Bill warmed to the idea imagining the presents vanishing. He added to the plan. "Remember to laugh a lot. We create a distraction by releasing the balloons early. While everyone is looking up we grab the goods," he suggested. The afternoon light faded casting shadows to hide their activities. Molly checked her watch knowing timing was critical. "Stop with the guilt trip. We have a job to do. After this we can retire to the beach. Are you with me?" she questioned. Bill smiled at his partner. "Of course I'm with you. Let's go steal some presents," he declared. After finalizing the details the duo put on their disguises of colorful wigs and mismatched clothing. The sound of happy children nearby strengthened their resolve mixed with hesitation at the absurdity. This heist would go down in their history as the most lighthearted caper they had ever attempted with laughs and silly mishaps. With their hearts pounding from excitement and the fear of being chased by angry parents they stepped forward into the fray.
created_at"2026-05-01T12:39:01.576Z" 5/1/2026, 12:39:01 PM
model"x-ai/grok-4.20-20260309"
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external_user(null)
streamedtrue
cancelledfalse
latency108968
moderation_latency(null)
generation_time113397
tokens_prompt77
tokens_completion3644
native_tokens_prompt184
native_tokens_completion10698
native_tokens_completion_images(null)
native_tokens_reasoning10193
native_tokens_cached128
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0268406
router(null)
provider_responses
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endpoint_id"3ecee37f-b217-4093-87fb-aaf0afe307af"
id"70ab4b7f-847e-9730-b0f5-2e132d968659"
is_byokfalse
latency134
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-1777639141-kX1EJbfCysqFOsjNDkbv"
session_id(null)
api_type"completions"
id"gen-1777639141-Y50Ws97aKUwyqeSFL8I7"
upstream_id"70ab4b7f-847e-9730-b0f5-2e132d968659"
total_cost0.0268406
cache_discount0.0001344
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
words441
66.06% Dialogue to Total Word Ratio
Ratio: 32.88%, Deviation: 2.88%
neededCleanfalse
wordsTotal441
wordsDialogue145
33.0280%