Run: 2026-09-03-01M1KAVKGK7GXSM04NR3EAY92Q

Run Details

Duration:
1m 46s
Cost:
$0.037080
Provider:
Phala

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9985% 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 crouched behind the hedge and raised her binoculars. A bouncy castle loomed beyond the hedge. She passed him a pair of rubber gloves. He frowned hard. “We need a clown suit, a cake, and a trained ferret.” Bill scratched his chin. “I can get two out of three, but the ferret has stage fright.” Molly sighed and tapped the party supply catalog. “Then we use the piñata as a diversion.” Bill adjusted his stolen party hat. “Is it wrong to rob a six-year-old’s birthday?” Molly rolled her eyes and unfolded a crayon floor plan. “Only if we forget the thank-you notes.” Bill licked his lips. “The present table is by the juice boxes.” Molly frowned at the map. “Why are there seventeen juice boxes circled?” Bill grinned and patted his empty juice pouch. “I’m very thirsty.” Molly snatched the map. “You carry the unicorn piñata. I’ll handle the gift bags.” Bill raised a finger. “What about the clown suit?” Molly pointed at him. “That’s your ferret problem, not mine.” Bill sighed and adjusted his suspenders. “Fine, but I’m keeping the stuffed giraffe.” Molly glared. “We split everything, Bill. Even the giraffe.” Bill whimpered and looked at the stuffed giraffe.
created_at"2026-09-03T09:51:01.664Z" 9/3/2026, 9:51:01 AM
model"deepseek/deepseek-v4-pro-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1025
moderation_latency(null)
generation_time105648
tokens_prompt75
tokens_completion7643
native_tokens_prompt146
native_tokens_completion8456
native_tokens_completion_images(null)
native_tokens_reasoning8170
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)
usage0.03707986
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429061-UlOG0OzXh5ZWwKmA69W9"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429061-yuBPFQomH3ruUUW8rrIv"
upstream_id"req_db5506e123494ba16b6dcad30bd4ebd1"
provider_responses
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endpoint_id"bb1fb528-2000-460c-a65e-b82dc347c019"
id"req_db5506e123494ba16b6dcad30bd4ebd1"
is_byokfalse
latency446
model_permaslug"deepseek/deepseek-v4-pro-20260813"
provider_name"Phala"
status200
total_cost0.03707986
cache_discount(null)
upstream_inference_cost0
provider_name"Phala"
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: 50.74%, Deviation: 0.74%
neededCleanfalse
wordsTotal203
wordsDialogue103
99.9985%