Run: 2026-09-03-01M1KREJQA9BT7K4R5HED133MF

Run Details

Duration:
52.1s
Cost:
$0.003508
Provider:
Phala

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 spread a crayon-scribbled invitation across the kitchen table. The glitter glue was still wet. Bill stared at the punch bowl sketch and whistled. Outside rain tapped the window. A children's birthday party at the community center meant parents distracted, presents piled high, and security consisting of one tired aunt. Molly checked her wig, a neon pink princess crown slightly askew. Bill tested the grappling hook made from a coat hanger. The plan was simple, stupid, and perfect. They would enter through the bathroom window during the piƱata. She tucked a tiny flashlight into her boot. Bill nodded approvingly. Finally. "Molly, you realize kids scream louder than alarms," "We're not stealing from kids, we're liberating the parents from future guilt," "Parents don't want these plastic crap toys, they want silence." "Exactly. It's a public service heist with glitter." "What's the exit plan when the seven-year-old ninja shows up?" "I'll distract him with a balloon animal while you grab the pile." "And if we get caught by the tired aunt?" "Then we claim we came for cake and offer a group hug." "Deal. But you owe me for the princess wig," "Fine. Just don't step on the goodie bags. I promise."
created_at"2026-09-03T13:48:34.929Z" 9/3/2026, 1:48:34 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency282
moderation_latency(null)
generation_time52089
tokens_prompt75
tokens_completion3464
native_tokens_prompt118
native_tokens_completion3185
native_tokens_completion_images(null)
native_tokens_reasoning2913
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)
usage0.00350848
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443314-PTDeORfJ27SPFtPSISzH"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443314-AtYvIWRqBSXRG5L68H4K"
upstream_id"req_90fd329cd1c3866d14f9bdaa27ebe8e1"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_90fd329cd1c3866d14f9bdaa27ebe8e1"
is_byokfalse
latency237
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00350848
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
100.00% Dialogue to Total Word Ratio
Ratio: 50.25%, Deviation: 0.25%
neededCleanfalse
wordsTotal203
wordsDialogue102
100.0000%