Run: 2026-04-24-01KQ0AY7DB5DG9DQXTPK99DDV6

Run Details

Duration:
4m 1s
Cost:
$0.051898
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9997% 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 adjusted her black turtleneck in the van's dirty mirror and openly scowled. She shifted uncomfortably on the torn vinyl seat, glaring at her partner with theatrical disgust. Bill spread a Happy Meal blueprint across his greasy lap, carefully tracing the crayon lines with a stubby finger. He smiled at a ketchup stain near the trampoline position. Molly checked her titanium lock picks with visible nausea. Bill pulled two crumpled Domino's hats from his duffel, brushing loose fries from the brims. Molly snatched hers and yanked it low over her eyes. She looked exactly like a depressed pink carnation. "You're telling me Dubai prepared us for some kid birthday party?" "Four dozen presents by the deck. Twelve grand in electronics." "Security?" "One drunk clown and a bouncy castle blocking the kitchen." "I swore off balloon animals after Bucharest." "Parents hit the kitchen at seven for wine. We enter as pizza delivery." "What about the children?" "PiƱata time. Maximum screaming. Nobody watches presents when candy falls." "Your moral compass is broken." "My compass bought a timeshare in 2019. The kid gets a pony; he'll survive without a PlayStation." "Fine. But face paint on this jumpsuit means you're paying dry cleaning." "Deal."
created_at"2026-04-24T18:09:55.125Z" 4/24/2026, 6:09:55 PM
model"moonshotai/kimi-k2.6-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency790
moderation_latency(null)
generation_time241200
tokens_prompt77
tokens_completion10826
native_tokens_prompt69
native_tokens_completion12958
native_tokens_completion_images(null)
native_tokens_reasoning12687
native_tokens_cached0
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"
usage0.05189755
router(null)
provider_responses
0
endpoint_id"6ebc1d51-2760-4277-8c1e-c8ce9e01c18e"
id"019dc0af1f227df5434dea2922b76c99"
is_byokfalse
latency790
model_permaslug"moonshotai/kimi-k2.6-20260420"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777054195-COhsvP6gmEdCCOOyXfXT"
session_id(null)
api_type"completions"
id"gen-1777054195-mut0tze5GvY4d7tuuf9Z"
upstream_id"019dc0af1f227df5434dea2922b76c99"
total_cost0.05189755
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 50.50%, Deviation: 0.50%
neededCleanfalse
wordsTotal200
wordsDialogue101
99.9997%