Run: 2026-09-03-01M1KRPTBH6H8S4TEYX271CY6Q

Run Details

Duration:
25.7s
Cost:
$0.001750
Provider:
Phala

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
97.55% Dialogue to Total Word Ratio (details)
98.4619% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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 pulled the binoculars down. Bill was already chewing a glow stick. "Molly, the parents are inside doing shots and the kids are doing a piñata rampage." "I love it. Presents are on the patio table, under a plastic sheet." "That's a nice touch, very Pinterest." "It's a fortress of wrapping paper. We need a distraction." "How about I start crying for a lost puppy?" "You're forty-two. Try singing Happy Birthday off-key." "Okay, okay. You grab the unicorns and the Lego sets, I grab the big stuff." "What about the cake?" "Eat it later. The parents will blame the kids." "And if the six-year-old with the lightsaber sees us?" "I'll tell him I'm the mall Santa. He'll offer me cookies." "Fine. Ten minutes after the piñata falls, we go." "And if we get caught?" "We tell them it was the Tooth Fairy. She has bad credit." "Perfect. Let's move." "Don't forget the gift bags." "I got them." "And the goldfish?" "No goldfish." "We are not stealing a goldfish." "Okay." "Watch the sprinklers." "Always." "Go." "You're bringing the stroller?" "For the loot." "Brilliant." "You are a genius, Bill." "I know." "Let's steal like toddlers." "Let's go."
created_at"2026-09-03T13:53:04.89Z" 9/3/2026, 1:53:04 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency281
moderation_latency(null)
generation_time25624
tokens_prompt75
tokens_completion1555
native_tokens_prompt118
native_tokens_completion1586
native_tokens_completion_images(null)
native_tokens_reasoning1292
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)
usage0.00174958
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443584-t0SCeEf04ilFC4gSd7vk"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443584-bwLqtjPOcz55fvQKMPxh"
upstream_id"req_4007f89abcccda73d346dbdf7abdf823"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_4007f89abcccda73d346dbdf7abdf823"
is_byokfalse
latency240
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00174958
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
99.38% Matches word count n/a
neededCleanfalse
words195
97.55% Dialogue to Total Word Ratio
Ratio: 93.97%, Deviation: 3.97%
neededCleanfalse
wordsTotal199
wordsDialogue187
98.4619%