Run: 2026-05-01-01KQHR6W1ACZVGS9AZ3Z7WYW5R

Run Details

Duration:
4.2s
Cost:
$0.000898
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
81.27% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
90.6352% 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
“I still say we hit the clown first,” Molly whispered, peering over the hedge at the bouncing castle. “Take out the entertainment, the kids’ll be chaos. Easy pickings.” Bill adjusted his tiny party hat. “Clown’s got balloons, Mol. You pop those and we’ve got twenty screaming gremlins on us like piranhas. We go in through the bouncy castle. Silent. Ninja-like.” “Ninjas don’t wear velcro shoes that squeak, Bill.” “They do if they’re committed. Look, we grab the gift table while they’re singing Happy Birthday. I’ll be the mysterious magician. You be the face-painting lady. Classic misdirection.” Molly snorted. “Last time you did magic you pulled a sock out of a kid’s ear and got chased by an angry dad. We’re not improvising this time. Rope, duct tape, and that comically large sack you stole from Santa’s clearance bin.” “Fine. But I’m wearing the fake mustache. I look trustworthy with facial hair.” “You look like a children’s party predator with that thing. Lose the mustache. We go in clean, we go out rich. And if anyone asks, we’re from the rival balloon company. Corporate espionage, very serious.” Bill grinned. “God I love stealing from children. Feels wrong in all the right ways.” “Focus, you idiot. Cake’s at three. We move at two fifty-eight.”
created_at"2026-05-01T12:28:55.215Z" 5/1/2026, 12:28:55 PM
model"x-ai/grok-4.20-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency339
moderation_latency(null)
generation_time4147
tokens_prompt77
tokens_completion356
native_tokens_prompt182
native_tokens_completion295
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.0008978
router(null)
provider_responses
0
endpoint_id"3ecee37f-b217-4093-87fb-aaf0afe307af"
id"b6be22db-6cbe-9543-9488-fd559dc30a03"
is_byokfalse
latency74
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-1777638535-Eq2ILramlth4TprMhzVh"
session_id(null)
api_type"completions"
id"gen-1777638535-TFwbYZLvLOkPqTJ1QzLH"
upstream_id"b6be22db-6cbe-9543-9488-fd559dc30a03"
total_cost0.0008978
cache_discount0.0000672
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
81.27% Matches word count n/a
neededCleanfalse
words212
100.00% Dialogue to Total Word Ratio
Ratio: 90.70%, Deviation: 0.70%
neededCleanfalse
wordsTotal215
wordsDialogue195
90.6352%