Run: 2026-09-03-01M1KRJC7NNXGMZ80GPCXDFT8S

Run Details

Duration:
44.9s
Cost:
$0.003051
Provider:
Phala

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
99.28% Dialogue to Total Word Ratio (details)
99.6010% 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 drawing of a birthday castle across the kitchen table while Bill tested the grappling hook on a laundry basket. The target was seven-year-old Timmy’s surprise party, held in a backyard with a bouncer made of balloons and a parent patrol. She tapped the paper with a marker. Outside, the sprinklers ticked on and off, and a kazoo solo drifted from the bounce house. Bill had rented a clown costume, but the shoes squeaked. Molly had a plan involving a piñata, a distraction, and a van disguised as an ice cream truck. "We can't just waltz in. Timmy's mom hired two uncles for security." "Uncles are just grown men who fell asleep on lawn chairs." "They have walkie-talkies and a mean inflatable dinosaur." "Perfect, we'll be the birthday magician and his assistant." "Fine, you do the rabbit, I'll grab the presents while they watch the trick." "And if a kid cries?" "We cry louder and blame the clown shoes." "Do we have a bag big enough for twenty LEGO sets and a karaoke machine?" "I brought the stroller, it's basically a rolling loot vault." "What about the glitter?" "Glitter is the real heist. It gets everywhere and never comes back."
created_at"2026-09-03T13:50:39.357Z" 9/3/2026, 1:50:39 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency261
moderation_latency(null)
generation_time44831
tokens_prompt75
tokens_completion2677
native_tokens_prompt118
native_tokens_completion2769
native_tokens_completion_images(null)
native_tokens_reasoning2489
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)
usage0.00305088
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443439-B7JthXCj9gLgXlm8z3TA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443439-CgRokfI150oY7aMtUVRc"
upstream_id"req_8969d9904be8083efff064d789be439c"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_8969d9904be8083efff064d789be439c"
is_byokfalse
latency217
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00305088
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
99.92% Matches word count n/a
neededCleanfalse
words203
99.28% Dialogue to Total Word Ratio
Ratio: 52.91%, Deviation: 2.91%
neededCleanfalse
wordsTotal206
wordsDialogue109
99.6010%