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Run: 2026-02-20-01KHYB8DWYAAC7G6EJ2PSA5A9X
Run Details
Model:
Gemma 3 27B
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
323
moderation_latency
(null)
generation_time
6271
tokens_prompt
93
tokens_completion
299
native_tokens_prompt
75
native_tokens_completion
265
native_tokens_completion_images
(null)
native_tokens_reasoning
0
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.00011425
router
(null)
provider_responses
0
endpoint_id
"1d5251f0-02fd-484b-bb6c-d346277c8a0d"
id
"cmpl-6e833a1bc15c417e924941c7ec42213a"
is_byok
false
latency
313
model_permaslug
"google/gemma-3-27b-it"
provider_name
"Phala"
status
200
api_type
"completions"
id
"gen-1771618711-N3Rb8UkbvDMRPb1VNnMR"
upstream_id
"cmpl-6e833a1bc15c417e924941c7ec42213a"
total_cost
0.00011425
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Phala"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
161
0.00%
Dialogue to Total Word Ratio
Ratio: 83.85%, Deviation: 33.85%
neededClean
false
wordsTotal
161
wordsDialogue
135
0.0000%