Run: 2026-04-25-01KQ2GVXMVNVJAR7WX391A27VS

Run Details

Duration:
5.7s
Cost:
$0.000106
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
43.38% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
21.6892% 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 squinted through the binoculars at the bouncy castle. “That’s the gift table. Ten feet from the cake, guarded by a woman with a glittery eye patch and a toddler who bites.” Bill, chewing a party blower, mumbled, “The kid bit me last week for a jelly bean.” “He’s their security detail.” “I got a plan,” Bill said, spitting out the blower. “We go in as clowns. They love clowns.” “You look like a sad raspberry,” Molly said. “And you squeak when you walk.” “It’s a prosthetic squeak. Adds authenticity.” “Fine,” she said, lowering the binoculars. “But if we get cornered, you’re the balloon animal sacrifice.” Bill grinned, adjusting a rainbow wig over his bald spot. “Worth it for that remote-control dinosaur.” “It’s a tricycle, Bill.” “With lasers. The invitation said ‘space adventurers.’” He held up a crinkled card. “We’re bringing the asteroid.” Molly sighed. “You’re the reason we’re banned from three Chuck E. Cheeses.” “Four now. I’m building a legacy.” Above them, a piñata burst, showering candy onto the lawn. Bill’s eyes went wide. “The haul’s gonna be epic.” “Or we’ll end up in a ball pit full of glitter and regret.” “Regret’s a payment plan for joy,” Bill said, and offered her a red nose. “You in?” Molly took it. “You owe me a pizza.”
created_at"2026-04-25T14:31:59.903Z" 4/25/2026, 2:31:59 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency909
moderation_latency(null)
generation_time5611
tokens_prompt77
tokens_completion385
native_tokens_prompt67
native_tokens_completion345
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.00010598
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"16e834bb-c5b4-40ce-9410-b5e58c2b25f3"
is_byokfalse
latency471
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777127519-an97paKD7OcKru0DPeLK"
session_id(null)
api_type"completions"
id"gen-1777127519-eMgXGMgy7b3gkvc0C6ku"
upstream_id"16e834bb-c5b4-40ce-9410-b5e58c2b25f3"
total_cost0.00010598
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
43.38% Matches word count n/a
neededCleanfalse
words217
0.00% Dialogue to Total Word Ratio
Ratio: 67.43%, Deviation: 57.43%
neededCleanfalse
wordsTotal218
wordsDialogue147
21.6892%