Run: 2026-04-24-01KQ08B9DRCGE9VEYX288KZBY1

Run Details

Duration:
5m 54s
Cost:
$0.045938
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9995% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 night vision goggles over a neon pink tutu while Bill stuffed silent party blowers into his cargo vest. The suburban backyard loomed before them, guarded by a sleepy clown and twenty sugar-crazed children destroying a piƱata with Viking ferocity. Bill checked his expensive watch, synchronizing their robbery with the exact moment the birthday cake distracted the chaperones. Molly pointed toward the gift table, stacked with glittering boxes that screamed easy resale value on the preschool black market. They had rehearsed this heist for three weeks in Bill's basement using Barbie dolls and a candy-fueled obstacle course that left them both with permanent glitter scars. The target was a five-year-old named Bradley, whose parents had purchased enough plastic to fill a landfill. Molly tested her utility belt, confirming the juice box neutralizer was loaded. Bill flexed fingers that had cracked the Louvre's finest safes and now gripped a wobbly balloon poodle. He had stolen the Crown Jewels, yet folding that poodle felt more dangerous. Molly checked her watch and steadied her quivering nerves. "First, we disable the clown before we touch the cake," Bill whispered. "Affirmative. The Legos are priority one. Leave absolutely no witnesses," Molly replied.
created_at"2026-04-24T17:24:37.441Z" 4/24/2026, 5:24:37 PM
model"moonshotai/kimi-k2.6-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency951
moderation_latency(null)
generation_time354186
tokens_prompt77
tokens_completion10332
native_tokens_prompt69
native_tokens_completion11468
native_tokens_completion_images(null)
native_tokens_reasoning11203
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"
usage0.04593755
router(null)
provider_responses
0
endpoint_id"85421399-264f-405d-9ad9-67835b01a3e0"
is_byokfalse
latency34
model_permaslug"moonshotai/kimi-k2.6-20260420"
provider_name"BaseTen"
status429
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endpoint_id"6ebc1d51-2760-4277-8c1e-c8ce9e01c18e"
id"019dc085a6b23b3b29f20577c599c5f2"
is_byokfalse
latency951
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-1777051477-zAL9A6d664i67efgjuj6"
session_id(null)
api_type"completions"
id"gen-1777051477-Y8mnNHqPmy7vke1cmlHK"
upstream_id"019dc085a6b23b3b29f20577c599c5f2"
total_cost0.04593755
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
words199
100.00% Dialogue to Total Word Ratio
Ratio: 9.85%, Deviation: 0.15%
neededCleanfalse
wordsTotal203
wordsDialogue20
99.9995%