Run: 2026-02-20-01KHY7JNZ4SD2C96NEBZ5B0XDF

Run Details

Duration:
6.3s
Cost:
$0.000121
Provider:
Phala

Evaluation summary

Score Evaluator
Details Link
2.01% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
1.0058% 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, a garish pink and blue monstrosity. Molly squinted. “Honestly, Bill, a six-year-old’s birthday. Is this really the best we can do?” Bill, meticulously applying face paint, didn’t look up. “Don’t judge the target, Molly. Think of the haul. Brand new scooters, remote control cars, probably a small fortune in Lego. Untraceable, easy resale.” He finished a particularly enthusiastic stripe of purple across his cheek. “You look like a raccoon had a fight with a grape.” “It’s camouflage! They expect a clown, not two obviously suspicious adults.” He glanced around the manicured garden. “Timing is crucial. Precisely 3:17. That’s when little Timmy will be distracted by the pinata.” “And we waltz in, grab the gifts, and vanish? Sounds… undignified.” “Undignified pays the bills, Molly. And think of the irony. Stealing joy to *buy* joy. It’s practically philosophical. Now, where’s the oversized bag?” “Already in the van, along with the escape route mapped and the glitter cannon pre-loaded.” Bill grinned. “Excellent. Let’s go make a six-year-old very disappointed.”
created_at"2026-02-20T19:14:13.105Z" 2/20/2026, 7:14:13 PM
model"google/gemma-3-27b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency252
moderation_latency(null)
generation_time6164
tokens_prompt93
tokens_completion314
native_tokens_prompt75
native_tokens_completion283
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"
usage0.00012145
router(null)
provider_responses
0
endpoint_id"1d5251f0-02fd-484b-bb6c-d346277c8a0d"
id"cmpl-88b7fe4a697e4fb4be684c749f3fbd82"
is_byokfalse
latency241
model_permaslug"google/gemma-3-27b-it"
provider_name"Phala"
status200
api_type"completions"
id"gen-1771614853-l5tTqVEjPEWmKw8NpKm8"
upstream_id"cmpl-88b7fe4a697e4fb4be684c749f3fbd82"
total_cost0.00012145
cache_discount(null)
upstream_inference_cost0
provider_name"Phala"

Evaluation details

Result Evaluator Details Meta Data
2.01% Matches word count n/a
neededCleanfalse
words175
0.00% Dialogue to Total Word Ratio
Ratio: 77.14%, Deviation: 27.14%
neededCleanfalse
wordsTotal175
wordsDialogue135
1.0058%