Run: 2026-10-20-01M5C6BGMW5P16TWKKEBVZXP6Z

Run Details

Duration:
40.9s
Cost:
$0.002483
Provider:
Wafer

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% 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 unrolled a crayon map across the sticky table while Bill tested a plastic fork against his palm. “Clown leaves at three; sugar rush at three-fifteen; parents become phone zombies.” Bill grimaced at the bear costume slumped in the corner. “That fur smells like regret, nachos, and stolen bowling pins.” Molly drew a dotted line from the party room to the loading dock. “We enter as the bear, stack presents inside its hollow belly, then waddle out.” Bill stared at the costume’s suspiciously stained midsection. “The belly already holds a sandwich and deflated balloons.” Molly tossed him a decoy gift box containing socks and a whistle. “Socks for the birthday kid; whistle for chaos; juice boxes for getaway.” Molly quietly checked the community center’s old calendar while Bill wrestled the zipper over six stolen bowling pins, a sandwich, three deflated balloons, and a rubber dinosaur. “And if the birthday kid screams, we blame the clown, offer cake, and exit through the kitchen.” “The kitchen door sticks badly, so the bear must shoulder it open while loudly juggling nothing at all.” Bill sighed, checking whether the bear’s zipper could survive a toddler stampede. “Fine. If a toddler unmasks me, you’re blamed.”
created_at"2026-10-20T08:20:26.403Z" 10/20/2026, 8:20:26 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency644
moderation_latency(null)
generation_time40872
tokens_prompt75
tokens_completion4647
native_tokens_prompt93
native_tokens_completion4937
native_tokens_completion_images(null)
native_tokens_reasoning4628
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)
usage0.00248338
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484426-jeLpjCHASuSZq01l1vIS"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484426-Ygyjm87hznlIE2GdvGxH"
upstream_id"chatcmpl-1b1439c28dc74ab6bda443a7abd6b595"
provider_responses
0
endpoint_id"66d4851d-7738-4948-9d40-2ab6dc54f895"
id"chatcmpl-1b1439c28dc74ab6bda443a7abd6b595"
is_byokfalse
latency644
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Wafer"
status200
total_cost0.00248338
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
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 50.25%, Deviation: 0.25%
neededCleanfalse
wordsTotal201
wordsDialogue101
100.0000%