Run: 2026-07-25-01KYD7QQW3JVTA1AHKXCVD4NNR

Run Details

Duration:
27.1s
Cost:
$0.012464
Provider:
Moonshot AI

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 unrolled the blueprint across Bill’s knees, knocking crumbs off the getaway tricycle. “Is that a bouncy castle?” Bill asked. “Perimeter,” Molly said. “We go in as clowns.” “I’m allergic to whimsy.” “You’re allergic to work. Focus. Cake at two, magician at three, presents stacked by the patio.” Bill squinted. “Why does the piñata have a panic room?” “That’s the birthday boy’s nanny. Retired bouncer. Name: Debra.” “Can Debra be bribed?” “With juice boxes and respect. Mostly respect.” Bill held up a suction-cup bow tie. “And if the kids cry?” “Then we juggle faster.” “This feels low,” he said. “Even for us.” Molly folded the map into a paper crown. “Bill, last month we stole a mayor’s toupee during a parade.” “It winked at me.” “It was alive with secrets. Tomorrow, tiny rich people leave forty unboxed drones unattended while Grandma does magic.” Bill sighed, pulling on size-twenty shoes. “Fine. But if a six-year-old out negotiates me, I’m retiring.” Molly honked her nose. “Buddy, one already has. Meet our inside man.” From the toy chest came a small voice: “I want ten percent and a dinosaur.” Bill whispered, “Deal.” “Amateur,” Molly said. “We pay in stickers.”
created_at"2026-07-25T18:13:57.26Z" 7/25/2026, 6:13:57 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2192
moderation_latency(null)
generation_time26955
tokens_prompt75
tokens_completion880
native_tokens_prompt147
native_tokens_completion828
native_tokens_completion_images(null)
native_tokens_reasoning492
native_tokens_cached147
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"stop"
service_tier(null)
usage0.0124641
router(null)
provider_responses
0
endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64fce612bdff485fac9707"
is_byokfalse
latency2191
model_permaslug"moonshotai/kimi-k3-20260715"
provider_name"Moonshot AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785003237-BYfzad1ZTrgVqt2whfn0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785003237-rCqAb5Cw9v91AhQtuF69"
upstream_id"chatcmpl-6a64fce612bdff485fac9707"
total_cost0.0124641
cache_discount0.0003969
upstream_inference_cost0
provider_name"Moonshot AI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
99.74% Matches word count n/a
neededCleanfalse
words196
0.00% Dialogue to Total Word Ratio
Ratio: 70.00%, Deviation: 20.00%
neededCleanfalse
wordsTotal200
wordsDialogue140
49.8722%