Run: 2026-09-03-01M1KAX8DK6YTV0FYS91R9HQ3S

Run Details

Duration:
6m 31s
Cost:
$0.002851
Provider:
DigitalOcean

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.99% Dialogue to Total Word Ratio (details)
99.9952% 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 squinted through the grimy binoculars, her breath fogging the lens as she studied the inflatable castle. The sun glinted off a pile of wrapped presents near the trampoline. A sad clown was juggling by the snack table. "We go in through the back, past the piñata," she said. Bill adjusted his fake mustache, buying time. "The piñata is a trap. String's rigged to a tripwire." "So we go over the fence," Molly countered. "Fence is electrified. Dad's an electrician," Bill replied. Molly lowered the binoculars and rubbed her tired eyes. "Then we walk in the front door, dressed as clowns." Bill sighed. "Clowns? We're professionals." "Professionals who steal from a six-year-old." "Point taken. But the wig itches." "Fine. Magicians' assistants. Card trick." Bill nodded, a grin creeping across his face. "And the presents?" "In the hollow cake." "But the girl will cry." Molly grinned. "We bring a decoy. A stuffed unicorn." "Props cost money." "We steal the money first." Bill blinked. "From where?" "Tooth fairy. Under the pillow at 4:30." But the tooth fairy might be awake, Bill said. Molly smiled, revealing gold. She checked her watch. Bill considered this for a moment, then nodded. "I'll get the drill."
created_at"2026-09-03T09:51:55.842Z" 9/3/2026, 9:51:55 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency460
moderation_latency(null)
generation_time390874
tokens_prompt75
tokens_completion9381
native_tokens_prompt67
native_tokens_completion11294
native_tokens_completion_images(null)
native_tokens_reasoning10959
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)
usage0.002851447
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429115-afryAXwGY0VLDawMTBnV"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429115-GAwHkdanuIu3JscdRLBj"
upstream_id"chatcmpl-4af3de1c-3055-47bc-80bb-f75957f435d6"
provider_responses
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endpoint_id"562d5188-97d1-49f7-8881-d0e417e31ada"
is_byokfalse
latency46
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Makora"
status429
1
endpoint_id"cb029acf-a84f-4280-8103-909d269e1e5f"
id"chatcmpl-4af3de1c-3055-47bc-80bb-f75957f435d6"
is_byokfalse
latency459
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"DigitalOcean"
status200
total_cost0.002851447
cache_discount(null)
upstream_inference_cost0
provider_name"DigitalOcean"
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
99.99% Dialogue to Total Word Ratio
Ratio: 50.99%, Deviation: 0.99%
neededCleanfalse
wordsTotal202
wordsDialogue103
99.9952%