Run: 2026-09-03-01M1KS1S0TH6QEM6Y1QN1ZXDWT

Run Details

Duration:
36.2s
Cost:
$0.002540
Provider:
Phala

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.85% Dialogue to Total Word Ratio (details)
99.9261% 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 taped a paper crown to Bill's forehead and pointed at the blueprints spread across the kitchen table. The target was a three-year-old's birthday in a suburban cul-de-sac, complete with a bouncy castle and a suspicious amount of glitter. Bill adjusted his fake mustache in the toaster oven light. "We are not robbing children," he said. "We are liberating presents from temporary storage." "We're stealing," Molly said. "From a kid who still believes in the tooth fairy." "Same thing," Bill said. "The parents bought them, the kid doesn't need them yet." Molly checked the window schedule. "Party starts at two, cake at three, parents pass out by three thirty. We go in the back, grab the pile, out the dog door." "And if a child tackles us?" Bill asked. "Then we apologize and offer them a juice box," Molly said. "Professionalism." Bill grinned. "I love a heist with snacks." Molly slipped on a pink tutu over her black hoodie. "We need a cover story," she said. "Lost balloon vendor." "Perfect," Bill said. "I will cry." The front door chimed as a neighbor walked by. Molly whispered. "Remember, no glitter on the getaway car." Bill nodded. "Only on the conscience." Now.
created_at"2026-09-03T13:59:03.972Z" 9/3/2026, 1:59:03 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency290
moderation_latency(null)
generation_time36143
tokens_prompt75
tokens_completion2232
native_tokens_prompt118
native_tokens_completion2305
native_tokens_completion_images(null)
native_tokens_reasoning2015
native_tokens_cached117
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)
usage0.00254048
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443943-2qA4yfudhoi5a9qKtndD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443943-XxgTQ1bm9gmteW0qJOgH"
upstream_id"req_5852cd1aa8fc5a16795257c3d0b2dcb9"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_5852cd1aa8fc5a16795257c3d0b2dcb9"
is_byokfalse
latency248
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00254048
cache_discount0.00003042
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
99.85% Dialogue to Total Word Ratio
Ratio: 51.96%, Deviation: 1.96%
neededCleanfalse
wordsTotal204
wordsDialogue106
99.9261%