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Run: 2026-07-25-01KYD6ATGHHXADNKP8T1THAPME
Run Details
Model:
MoonshotAI: Kimi K3 (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
42.3s
Cost:
$0.015644
Provider:
Moonshot AI
Evaluation summary
Score
Evaluator
Details Link
90.48%
Matches word count
(details)
97.36%
Dialogue to Total Word Ratio
(details)
93.9211%
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 invitation across Bill’s kitchen table, smoothing it over a jam stain shaped like regret. The card had glitter, a clown, and the words HUGO TURNS SIX in letters large enough to shame a billboard. “Explain again,” Bill said, “why our fortune depends on looting a bouncy castle.” “Because the Henderson registry reads like a dragon’s shopping list,” Molly said. “Scooters, consoles, a telescope, and one pony-adjacent voucher.” “We are not stealing a pony-adjacent voucher.” “We are liberating poorly guarded joy.” Bill squinted at the floor plan she had drawn in orange crayon. “Your map has a juice spill where the pantry should be.” “That is the pantry. They’re both sticky.” Outside, Saturday glittered with sinister innocence. Balloons bobbed over the Henderson fence like hostages that had made friends. Somewhere a magician apologized to a rabbit. Molly checked her watch, which was actually three watches taped together. “Phase one,” she whispered, “we enter as entertainment.” Bill held up a sequined jacket. “I look like a disco priest.” “Perfect. Children fear nothing except quiet.” They had rehearsed for weeks, by which Molly meant they had argued beside a public fountain and once been chased by a goose with entrepreneurial eyes. Bill’s job was distraction: juggling, jokes, light weeping. Molly’s job was acquisition, which she described as “re-homing presents before capitalism notices.” At two o’clock they joined the line behind a grandmother carrying a casserole big enough to have its own weather. The door opened onto chaos: frosting fingerprints, kazoos, twenty small shoes, and a banner reading HAPPY BIRTHDAY HUG because the O had escaped. “Remember,” Molly murmured, “no monologuing near the cake.” “I monologue when nervous.” “Then become brave near the presents.” Bill stepped into the yard and immediately tripped over a toy fire engine, which applauded. Children turned. He raised both arms. “Behold,” he announced, “a man whose knees make decisions.” They laughed, including one toddler who clearly ran the neighborhood. Molly drifted toward the gift table, casual as a tax audit. Presents rose in pastel mountains: boxes with bows, bags with tissue smoke, a suspicious rectangle humming lullabies. She reached for the telescope and froze. Hugo himself stood beside her, crown crooked, face serious. “Are you pirates?” he asked. “Consultants,” Molly said. Bill appeared, breathless, one balloon animal refusing to die on his shoulder. “New plan,” he said. “The children have unionized. They want snacks, truth, and our sequins.” Molly looked at the table, then at Hugo’s hopeful eyes, then at the goose now standing at the gate like a debt collector. “Bill,” she said, “we may have misjudged the mark.” “So we leave?” “We steal only one thing.” “The telescope?” “The piñata.” Behind them, the piñata burped. Nobody had filled it yet. It was simply that kind of party. Molly sighed, Bill bowed, and together they backed into the afternoon, richer by one escaped O and absolutely no presents, which the narrator counted as character development.
created_at
"2026-07-25T17:49:25.4Z"
7/25/2026, 5:49:25 PM
model
"moonshotai/kimi-k3-20260715"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2326
moderation_latency
(null)
generation_time
42252
tokens_prompt
75
tokens_completion
1209
native_tokens_prompt
147
native_tokens_completion
1040
native_tokens_completion_images
(null)
native_tokens_reasoning
318
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
0.0156441
router
(null)
provider_responses
0
endpoint_id
"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id
"chatcmpl-6a64f7145ea3e680fe94e875"
is_byok
false
latency
2325
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-1785001765-d3VuiQfei4xLVhCFOP4m"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785001765-miIoHqODxROmuRldiOI1"
upstream_id
"chatcmpl-6a64f7145ea3e680fe94e875"
total_cost
0.0156441
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
90.48%
Matches word count
n/a
neededClean
false
words
490
97.36%
Dialogue to Total Word Ratio
Ratio: 29.27%, Deviation: 0.73%
neededClean
false
wordsTotal
492
wordsDialogue
144
93.9211%