Run: 2026-02-20-01KHYB8DWYAAC7G6EJ2PSA5A9X

Run Details

Duration:
6.4s
Cost:
$0.000114
Provider:
Phala

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0000% 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
The inflatable bouncy castle loomed, garishly pink and shaped like a unicorn. Molly squinted. “Seriously? A unicorn? That’s…aggressive.” Bill consulted his sketch. “Focus, Molly. The presents are inside, near the pinata. Operation Birthday Bandit hinges on timing. Three-year-old Timmy’s sugar crash is predicted for 15:47. That’s our window.” “Sugar crash?” Molly asked, adjusting her oversized sunglasses. “You base a heist on a toddler’s glycemic index?” “It’s remarkably reliable. They map these things, you know. Anyway, distraction is key. You handle the clown, I’ll navigate the gift mountain.” “Handle the clown how? I'm not wrestling a guy in face paint.” “No, no. Compliment his balloon animals. Ask for a poodle. They *love* that. Buy me ten minutes. And for goodness sake, blend in. Less ‘suspicious adult’, more ‘enthusiastic aunt’.” “Easy for you to say, you get to rummage for Lego. I get sticky fingers and existential dread.” Bill grinned. “Think of the haul, Molly. Power Rangers, Barbie Dreamhouses…we can retire!”
created_at"2026-02-20T20:18:31.466Z" 2/20/2026, 8:18:31 PM
model"google/gemma-3-27b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency323
moderation_latency(null)
generation_time6271
tokens_prompt93
tokens_completion299
native_tokens_prompt75
native_tokens_completion265
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00011425
router(null)
provider_responses
0
endpoint_id"1d5251f0-02fd-484b-bb6c-d346277c8a0d"
id"cmpl-6e833a1bc15c417e924941c7ec42213a"
is_byokfalse
latency313
model_permaslug"google/gemma-3-27b-it"
provider_name"Phala"
status200
api_type"completions"
id"gen-1771618711-N3Rb8UkbvDMRPb1VNnMR"
upstream_id"cmpl-6e833a1bc15c417e924941c7ec42213a"
total_cost0.00011425
cache_discount(null)
upstream_inference_cost0
provider_name"Phala"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words161
0.00% Dialogue to Total Word Ratio
Ratio: 83.85%, Deviation: 33.85%
neededCleanfalse
wordsTotal161
wordsDialogue135
0.0000%