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Run: 2026-07-25-01KYD5YZYTSSH53AWW2JQGTGMH
Run Details
Model:
MoonshotAI: Kimi K3 (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
46.7s
Cost:
$0.019679
Provider:
Moonshot AI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
96.15%
Dialogue to Total Word Ratio
(details)
48.0756%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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
Messages
Meta
AI
Molly unrolled the blueprint across the hood of the stolen ice-cream van, anchoring the corners with a rubber chicken, a juice box, and Bill’s left shoe. The map of number 22 Maple Crescent had been drawn in crayon by a neighborhood informant named Kev, age seven, who had accepted payment in stickers and now refused to stop saluting. “Remind me why we’re robbing a six-year-old,” Bill said. “Because Timmy’s grandmother collects limited-edition spoons, and his parents wrap like paranoid mummies.” “Still feels low, even for us.” “Low is where the balloons are, darling. Bend your knees.” Bill adjusted his clown trousers, which had been designed by someone with a personal grudge against dignity. The party thumped beyond the hedge: twenty children, one magician with smoke allergies, a bouncy castle shaped like a castle that had given up, and enough presents to fill the van if nobody asked why the ice-cream man was sweating through his eyebrows. “I look like a depressed flamingo in this clown suit.” “Perfect. Nobody suspects a sad clown; they give him cake and space.” Molly’s own costume was subtler: a sparkly fairy godmother with lock picks hidden in a wand that played three notes of a tune copyrighted by a cartoon mouse. She checked the window. Inside, gifts glittered beneath paper hats—science kits, scooters, a pony-shaped pinata staring back with the eyes of a witness. “What’s the signal if a toddler tags me?” “Freeze, honk twice, and blame the puppet.” “We don’t have a puppet.” “Then become the puppet, Bill.” He sighed so hard his red nose honked. A passing mother applauded. Molly gave her a gracious little wave and murmured that the van’s freezer had been converted to hold one criminal, one conscience, and forty goodie bags. The plan was elegant in the way a falling piano is elegant: enter during musical statues, swap the gift table for a decoy table covered in potatoes, exit before the magician produced anything emotionally complicated. “And if the bouncy castle is guarded?” “By whom, the balloon Labrador? Offer him a sausage.” “That dog once ate a bouncer.” “Good, he’s union. He’ll respect credentials.” Bill peeked through the hedge. A conga line of pirates crashed into a dinosaur. Someone screamed with joy. Someone else screamed because joy had stepped on them. “Why is my fake name ‘Mr. Wiggles’?” “Because ‘Gary the Liability’ was taken.” “I want that noted in the memoir.” “Chapter one: Wiggles rises.” The music stopped. Every child froze mid-wobble, arms out, faces solemn as tiny jurors. Molly lifted her wand. Bill lifted the decoy sack. The pinata watched. The dog smelled sausage. And Molly, smiling like a woman who had definitely read the terms and conditions of ruin, whispered that it was time to go be wonderful at exactly the wrong address.
created_at
"2026-07-25T17:42:57.761Z"
7/25/2026, 5:42:57 PM
model
"moonshotai/kimi-k3-20260715"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2261
moderation_latency
(null)
generation_time
46639
tokens_prompt
75
tokens_completion
1402
native_tokens_prompt
147
native_tokens_completion
1309
native_tokens_completion_images
(null)
native_tokens_reasoning
648
native_tokens_cached
147
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.0196791
router
(null)
provider_responses
0
endpoint_id
"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id
"chatcmpl-6a64f58f24c0ee0306811e92"
is_byok
false
latency
2261
model_permaslug
"moonshotai/kimi-k3-20260715"
provider_name
"Moonshot AI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1785001377-YLDqsKttD6dm2NkZptrg"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785001377-NkWQiaZHuQp3n74gAezu"
upstream_id
"chatcmpl-6a64f58f24c0ee0306811e92"
total_cost
0.0196791
cache_discount
0.0003969
upstream_inference_cost
0
provider_name
"Moonshot AI"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
467
96.15%
Dialogue to Total Word Ratio
Ratio: 29.11%, Deviation: 0.89%
neededClean
false
wordsTotal
474
wordsDialogue
138
48.0756%