Run: 2026-07-25-01KYD6YRGGK3FFVRXH9F9DDC6D

Run Details

Duration:
13.7s
Cost:
$0.004904
Provider:
Moonshot AI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
68.3940% 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
"Bill, tell me again why we're robbing a six-year-old's birthday party?" "Because, Molly, that kid's dad is a hedge fund manager. Those presents aren't stuffed animals. They're watches wrapped in dinosaur paper." "You're certain?" "Jimmy Two-Times saw a Rolex box go in with the clown." "Fine. What's the plan?" "We go in as entertainers. You're the balloon artist." "I can't make balloon animals, Bill." "Make a snake. It's just a tube. Even you can do a tube." "Even me?" "Focus. I'll be the magician. I stuff presents in my cape during the big finale." "What's the big finale?" "I make the birthday cake disappear." "Bill, that's a four-tier cake." "I'll eat fast." "You'll eat a whole cake?" "For a Rolex? Molly, I'd eat the table too." "And the piñata? Kids go feral over piñatas. What if they swarm us?" "That's the getaway signal. You release the snake balloons, I throw candy at the floor, chaos, we bolt out the back gate." "The snake balloons that are just tubes?" "Terrifying tubes." "You know we're stealing from children, right?" "We're liberating luxury goods from a tiny tax bracket. Totally different." "You're going to hell, Bill." "Save me a seat. Bring a tube."
created_at"2026-07-25T18:00:18.712Z" 7/25/2026, 6:00:18 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2286
moderation_latency(null)
generation_time13651
tokens_prompt75
tokens_completion327
native_tokens_prompt147
native_tokens_completion324
native_tokens_completion_images(null)
native_tokens_reasoning15
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)
usage0.0049041
router(null)
provider_responses
0
endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f9b3a7a5ea03811f8c35"
is_byokfalse
latency2286
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-1785002418-03fScdcdPEusWr8b0vEL"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785002418-TNQjeu9ucBJ4pwrQFfX7"
upstream_id"chatcmpl-6a64f9b3a7a5ea03811f8c35"
total_cost0.0049041
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
100.00% Matches word count n/a
neededCleanfalse
words200
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal204
wordsDialogue204
68.3940%