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Run: 2026-07-25-01KYD6YRGGK3FFVRXH9F9DDC6D
Run Details
Model:
MoonshotAI: Kimi K3 (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2286
moderation_latency
(null)
generation_time
13651
tokens_prompt
75
tokens_completion
327
native_tokens_prompt
147
native_tokens_completion
324
native_tokens_completion_images
(null)
native_tokens_reasoning
15
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
0.0049041
router
(null)
provider_responses
0
endpoint_id
"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id
"chatcmpl-6a64f9b3a7a5ea03811f8c35"
is_byok
false
latency
2286
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-1785002418-03fScdcdPEusWr8b0vEL"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785002418-TNQjeu9ucBJ4pwrQFfX7"
upstream_id
"chatcmpl-6a64f9b3a7a5ea03811f8c35"
total_cost
0.0049041
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
100.00%
Matches word count
n/a
neededClean
false
words
200
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
204
wordsDialogue
204
68.3940%