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Run: 2026-02-20-01KHY9FXZKRZX9848WSSJ70DQW
Run Details
Model:
Gemma 3 27B
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
11.5s
Cost:
$0.000063
Provider:
Novita
Evaluation summary
Score
Evaluator
Details Link
0.08%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
0.0424%
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 chipped Formica of the diner booth stuck to Molly’s elbows. She traced the floral pattern with a sugar packet. “Okay, so picture this. Bounce house. Glitter. Absolute chaos.” Bill, meticulously dissecting a jelly donut, grunted. “Sounds like Tuesday.” “No, this is *opportunity*, Bill. Little Timmy’s fifth birthday. Parents distracted, sugar-fueled kids running amok. Prime present-snatching conditions.” “You want to rob a five-year-old?” “Not *rob*. Relocate. Temporarily borrow. Think of it as... festive redistribution of wealth.” Molly waved a hand dismissively. “The parents clearly have too much.” Bill finally looked up, powdered sugar dusting his nose. “And the plan? You going in dressed as a clown?” “Don't be ridiculous. Too predictable. I was thinking… catering staff. We offer balloon animals, subtly swap the gift bags with identical empties.” “Empty gift bags? That’s just cruel, Molly.” “Strategic! Less weight. Now, are you in or are you going to spend the afternoon alphabetizing your stamp collection?” “Fine, fine. Catering it is. But I get first dibs on the Lego.”
created_at
"2026-02-20T19:47:40.155Z"
2/20/2026, 7:47:40 PM
model
"google/gemma-3-27b-it"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
665
moderation_latency
(null)
generation_time
11438
tokens_prompt
93
tokens_completion
314
native_tokens_prompt
75
native_tokens_completion
269
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
0.000062725
router
(null)
provider_responses
0
endpoint_id
"cf530f36-7cb8-4eb9-8953-880eef952af3"
id
"c07a44e7-a272-47f6-8d65-eae2e066227c"
is_byok
false
latency
587
model_permaslug
"google/gemma-3-27b-it"
provider_name
"Novita"
status
200
api_type
"completions"
id
"gen-1771616860-ccAc9RCOWEA1VgSBfWJD"
upstream_id
"c07a44e7-a272-47f6-8d65-eae2e066227c"
total_cost
0.000062725
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Novita"
Evaluation details
Result
Evaluator
Details
Meta Data
0.08%
Matches word count
n/a
neededClean
false
words
171
0.00%
Dialogue to Total Word Ratio
Ratio: 76.02%, Deviation: 26.02%
neededClean
false
wordsTotal
171
wordsDialogue
130
0.0424%