Run: 2026-03-12-01KKHZ15J2P04EGDF506D6BJ7K

Run Details

Duration:
2.0s
Cost:
$0.001976
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
35.00% Matches word count (details)
98.98% Dialogue to Total Word Ratio (details)
66.9912% 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
Molly rubbed her hands together with glee. “Okay, Bill, we hit the bouncy castle at exactly three-fifteen, right when they bring out the cake. Those little monsters will be hypnotized by sugar.” Bill frowned. “Molly, it’s a children’s party. There’s a guy dressed as a dinosaur handing out juice boxes. This feels… wrong.” “Wrong? It’s genius. We slip in as the hired magicians. I’ll yell ‘Abracadabra’ while you stuff the goody bags into the fake rabbit.” “I’m not being the rabbit again. Last time the tail got stuck in a fence.” “Fine, you’re the sad clown. I’ll be the sparkly assistant. We wait for ‘Happy Birthday,’ then—poof—we vanish with every wrapped box under the table.” Bill sighed. “What if a kid cries? I can’t handle tears, Mol. I once cried during a toy commercial.” “You big baby. We’ll leave one cheap truck so they don’t riot. The rest go in the van marked ‘Lost Property.’” “Lost Property? That’s your plan?” “Best I got on short notice. Look, we grab the presents, ditch the clown noses, and split the loot at the ice-cream truck. Deal?” Bill groaned. “If we get chased by angry parents, I’m throwing you under the bouncy castle first.” Molly grinned. “That’s the spirit. Now practice your goofy laugh. We strike at cake time.”
created_at"2026-03-12T21:25:21.095Z" 3/12/2026, 9:25:21 PM
model"x-ai/grok-4.20-beta-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency256
moderation_latency(null)
generation_time1867
tokens_prompt77
tokens_completion364
native_tokens_prompt182
native_tokens_completion307
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"
usage0.0019756
router(null)
provider_responses
0
endpoint_id"33f49f24-a0de-4dcf-872d-ca514e83fbae"
id"9e244e75-3bb1-a4cd-ee2c-b13f42c39db4"
is_byokfalse
latency241
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-1773350721-deYvfpW7v0odh9fjKgxd"
upstream_id"9e244e75-3bb1-a4cd-ee2c-b13f42c39db4"
total_cost0.0019756
cache_discount0.0002304
upstream_inference_cost0
provider_name"xAI"

Evaluation details

Result Evaluator Details Meta Data
35.00% Matches word count n/a
neededCleanfalse
words218
98.98% Dialogue to Total Word Ratio
Ratio: 93.18%, Deviation: 3.18%
neededCleanfalse
wordsTotal220
wordsDialogue205
66.9912%