Run: 2026-05-01-01KQHQK3K34JEKCAFVXM7YE8NG

Run Details

Duration:
7.2s
Cost:
$0.000858
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.8722% 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 shifted the blueprint of the community center and grinned like a fox in a henhouse. “Bill, you absolute walnut, we’re not hitting a bank. It’s a kiddie bash. Cake, balloons, and a mountain of shiny presents with our names on them.” Bill rubbed his beard, squinting. “You want us to crash a children’s party? I feel like that’s a new low, even for us.” “Low? It’s brilliant,” Molly said, tapping the paper. “We go in as the hired magicians. I palm the good stuff while you do that terrible rabbit trick that makes toddlers cry. By the time the parents realize their little darlings are sobbing, we’ll be halfway to Mexico with enough Barbies and Transformers to start our own black-market toy empire.” “I draw the line at wearing the sparkly cape,” Bill muttered. “You’ll wear the cape and you’ll like it,” Molly shot back. “Look, we slip in during musical chairs, cut the lights when they bring out the cake, and boom—ninja thieves in velcro sneakers. Easiest score since we stole the mayor’s toupee.” Bill sighed. “Fine. But if we get recognized by some six-year-old, I’m blaming you.” Molly cackled. “Relax. We’ll be legends. The ones who stole Christmas… in July.”
created_at"2026-05-01T12:18:07.593Z" 5/1/2026, 12:18:07 PM
model"x-ai/grok-4.20-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency610
moderation_latency(null)
generation_time7093
tokens_prompt77
tokens_completion327
native_tokens_prompt182
native_tokens_completion279
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"
usage0.0008578
router(null)
provider_responses
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endpoint_id"3ecee37f-b217-4093-87fb-aaf0afe307af"
id"d5f00502-dbec-9bd0-9358-30f31e137ecc"
is_byokfalse
latency67
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-1777637887-z1TwY6aUgAoJwMg6txdl"
session_id(null)
api_type"completions"
id"gen-1777637887-n0iuPgWWRtaW0tKO8YDB"
upstream_id"d5f00502-dbec-9bd0-9358-30f31e137ecc"
total_cost0.0008578
cache_discount0.0000672
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.74% Matches word count n/a
neededCleanfalse
words204
0.00% Dialogue to Total Word Ratio
Ratio: 83.09%, Deviation: 33.09%
neededCleanfalse
wordsTotal207
wordsDialogue172
49.8722%