Run: 2026-04-25-01KQ2DPWQXEJS2HTF965EWYMMM

Run Details

Duration:
11.4s
Cost:
$0.000419
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
99.93% Dialogue to Total Word Ratio (details)
95.2068% 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
"So the target's a bouncy castle full of sugar-addled six-year-olds, and we're after the gift pile?" Bill asked, peering through binoculars at the clown making balloon animals. "That's a high-risk giggle zone." Molly sighed, snatching the binoculars. "Stop casing the clown, you idiot. It's operation 'Pin the Tail on the Loot'. We go in as the premium entertainment." "Premium? I've got stage fright. What if they smell the desperation on me?" Bill whimpered. "I can't even do a decent magic trick." "You're not a magician; you're 'Bill the Balloon Baron'. I'm 'Molly the Face-Painting Monet'. I paint a butterfly on a kid's cheek, you twist a balloon into a shiv, we grab the shiny pile and vanish like their hopes of a pony." "A balloon shiv? That's just pointlessly sad, Molly." Bill shuddered. "What's the signal for chaos?" "The birthday song. When they screech 'Happy Birthday', I'll knock over the juice bar, you yell 'PiƱata emergency!', and in the stampede, we load the haul into the 'Barry the Dancing Bear' costume's backpack." "There's a dancing bear?" Bill asked. "You are the dancing bear," Molly said flatly. "The suit has reinforced pockets and no eye holes. You'll be sweating pure panic in the dark, which is perfect. It muffles your sobbing."
created_at"2026-04-25T13:36:49.409Z" 4/25/2026, 1:36:49 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency625
moderation_latency(null)
generation_time11312
tokens_prompt77
tokens_completion477
native_tokens_prompt67
native_tokens_completion448
native_tokens_completion_images(null)
native_tokens_reasoning134
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"
usage0.000418905
router(null)
provider_responses
0
endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
id"35e38e22-74b4-4df1-87c9-706c130a422c"
is_byokfalse
latency266
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777124209-zs3JNBPfMP6XQ8ZKOf71"
session_id(null)
api_type"completions"
id"gen-1777124209-LZ6KkrjkG7nxWXLzmbB8"
upstream_id"35e38e22-74b4-4df1-87c9-706c130a422c"
total_cost0.000418905
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
90.48% Matches word count n/a
neededCleanfalse
words210
99.93% Dialogue to Total Word Ratio
Ratio: 88.37%, Deviation: 1.63%
neededCleanfalse
wordsTotal215
wordsDialogue190
95.2068%