Run: 2026-03-12-01KKHYTBV6KMVD5CNS36MXNFNF

Run Details

Duration:
2.1s
Cost:
$0.001796
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
75.16% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
37.5778% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 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
Molly adjusted her oversized clown wig and grinned at Bill, who was half-dressed as a very suspicious-looking magician. "Okay, genius, we hit the party at peak present time. Right after cake but before the sugar crash." Bill tugged at his fake mustache. "This is insane, Mol. We're stealing from toddlers. What if they cry? I can't handle crying kids. Last time I stole something small it followed me home and told its mother." "They're not toddlers, they're six," Molly said, checking her swag bag. "Big difference. Six-year-olds are vicious. We'll be doing the parents a favor. Less fighting over who gets the plastic truck." "We're gonna get caught," Bill muttered, practicing his balloon animal skills with shaking hands. "Some kid's gonna point at us and yell 'stranger danger' and then it's game over." Molly rolled her eyes. "Not if we stick to the plan. You distract with magic tricks, I swap the presents with the identical empty boxes we wrapped this morning. In and out in six minutes." "Empty boxes? That's just mean." "They're getting the same wrapping paper back. It's basically recycling," she said with a wink. "Think of it as performance art. The Great Present Heist of 2025." Bill sighed. "Fine. But if any kid asks for my autograph, I'm out."
created_at"2026-03-12T21:21:38.155Z" 3/12/2026, 9:21:38 PM
model"x-ai/grok-4.20-beta-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency345
moderation_latency(null)
generation_time1906
tokens_prompt77
tokens_completion328
native_tokens_prompt182
native_tokens_completion277
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached128
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0017956
router(null)
provider_responses
0
endpoint_id"33f49f24-a0de-4dcf-872d-ca514e83fbae"
id"d3447732-c5a2-21da-33b8-364c14245fb7"
is_byokfalse
latency308
model_permaslug"x-ai/grok-4.20-beta-20260309"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773350498-TnR9ltW8GMB53WfxOPEz"
upstream_id"d3447732-c5a2-21da-33b8-364c14245fb7"
total_cost0.0017956
cache_discount0.0002304
upstream_inference_cost0
provider_name"xAI"

Evaluation details

Result Evaluator Details Meta Data
75.16% Matches word count n/a
neededCleanfalse
words213
0.00% Dialogue to Total Word Ratio
Ratio: 75.58%, Deviation: 25.58%
neededCleanfalse
wordsTotal217
wordsDialogue164
37.5778%