Run: 2026-09-03-01M1K9VM42X4MS4Z7EATZE9GQF

Run Details

Duration:
6.0s
Cost:
$0.000114
Provider:
Wafer

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
82.81% Dialogue to Total Word Ratio (details)
84.5967% 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
“You sure about this, Bill?” Molly squinted at the rainbow banner strung across the backyard. “It’s a five-year-old’s party. The worst security is a piñata.” “That’s exactly why it’s brilliant,” Bill whispered, adjusting his fake mustache. “No one expects a heist from a clown.” “We’re not clowns. We’re wearing hoodies and tool belts. You look like a plumbing emergency.” “Plumbers attend parties. Kids love pipes.” Molly sighed. “Remind me the plan.” “I distract the parents with a balloon-animal giraffe. You slip into the gift tent, empty every box of Lego, switch the Barbies for rocks.” “Rocks? Where do I get rocks?” “I pre-loaded them in a diaper bag.” He tapped his bulge. “Fake poop on top. Zero inspection.” “Genius. And the cake?” “We’re stealing presents, not cake. That’s morbid.” “We’re stealing from a four-year-old!” “We’re liberating commercial excess. Philosophically.” “Philosophically, Bill, you just tripped over the bouncy castle.” “No—that’s part of the act. Looks like clumsiness.” He winced as a toddler grasp his ankle. “Go now. He’s crying. That’s my cue.” Molly took a breath. “Fine, but if I get face-painted, you’re handling the smash cake.” “Deal. But if you see a unicorn balloon, grab it. It’s probably worth ten Lego sets.” “You're insufferable.” She smiled. “Let’s take a birthday’s worth.”
created_at"2026-09-03T09:33:33.712Z" 9/3/2026, 9:33:33 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2256
moderation_latency(null)
generation_time5943
tokens_prompt75
tokens_completion453
native_tokens_prompt89
native_tokens_completion422
native_tokens_completion_images(null)
native_tokens_reasoning59
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"
service_tier(null)
usage0.0001144
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788428013-9Wh4kLVOjuz0oy5aAg6v"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788428013-Ve0EQdpAgAQStulZvMhG"
upstream_id"3fe42821aa5241caada3e31ad320b961"
provider_responses
0
endpoint_id"4d5286fc-8f37-40c2-a518-e1ae100d45fc"
id"3fe42821aa5241caada3e31ad320b961"
is_byokfalse
latency2252
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Wafer"
status200
total_cost0.0001144
cache_discount(null)
upstream_inference_cost0
provider_name"Wafer"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words211
82.81% Dialogue to Total Word Ratio
Ratio: 83.41%, Deviation: 6.59%
neededCleanfalse
wordsTotal217
wordsDialogue181
84.5967%