Run: 2026-09-03-01M1M171SEFDTN0R6NTNT6VY0N

Run Details

Duration:
2m 56s
Cost:
$0.025471
Provider:
Phala

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9920% 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 counted party hats through the keyhole, each one a tiny ridiculous warning. Bill fixed his paper crown. The backyard smelled of lemon cake and parental despair. Inside, a toddler announced the location of every gift. Molly whispered, "Window at nine." Bill replied, "We take everything." They planned it over cereal in a van. The presents wore shark and unicorn paper. Molly would enter through the side window with inflatable gloves. Bill would cut the fence with a butter knife. If alarms sounded, they would freeze, because the alarm system was Crying Uncle. Molly said, "Gloves are balloons." Bill said, "Trap uses gum." Molly said, "Start quiet." Bill said, "Finish fast." Molly said, "No kids." Bill said, "No parents." The door banged open. Four children ran past the hedge, shrieking about piƱata duty. Bill hugged a hydrangea like a man having a private argument with a flower. Molly checked her watch, her gloves, and the suspicious sky. Inside, a grandmother raised a cake knife and declared the presents would be opened at one, not two. Bill exhaled. Molly tightened her crown. The heist was late, but they could fix that with theft, nerve, and zero respect for naptime.
created_at"2026-09-03T16:21:45.397Z" 9/3/2026, 4:21:45 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency380
moderation_latency(null)
generation_time176135
tokens_prompt75
tokens_completion6781
native_tokens_prompt186
native_tokens_completion8473
native_tokens_completion_images(null)
native_tokens_reasoning8193
native_tokens_cached64
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)
usage0.025471
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788452505-VFUlzPgLUEL8fubddKan"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788452505-7ozthO6JDs9F4qN5Rvmj"
upstream_id"req_b6395005fca6f8d6b4a47188dae662e2"
provider_responses
0
endpoint_id"cfc4d0ca-df7c-4b5f-9c74-328c41a7cbc3"
id"req_b6395005fca6f8d6b4a47188dae662e2"
is_byokfalse
latency380
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"Phala"
status200
total_cost0.025471
cache_discount0.0000224
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
99.98% Matches word count n/a
neededCleanfalse
words198
100.00% Dialogue to Total Word Ratio
Ratio: 10.10%, Deviation: 0.10%
neededCleanfalse
wordsTotal198
wordsDialogue20
99.9920%