Run: 2026-02-20-01KHYB9B2TEGWBQ8D0Q8FD222K

Run Details

Duration:
5.2s
Cost:
$0.000039
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
97.63% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
48.8138% 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 monstrosity against the fading sunlight. Molly chewed on a licorice whip, surveying the carnage of party games and sugar-fueled children. “Right then, Operation Sugar Rush is a go,” she announced, not entirely seriously. Bill adjusted his ridiculous fake mustache. “Are we *sure* about this, Molly? Stealing presents from five-year-olds? It feels… low.” “Low is paying rent, Bill! Besides, think of the resale value on a limited-edition Sparkle Unicorn. Those things go for a fortune on eBay.” “A fortune? Really?” “Absolutely. Look, the plan is simple. While I distract the parents with a fabricated sob story about my poorly poodle, you're in charge of present procurement.” “Procurement? Sounds fancy for grabbing toys.” Bill muttered, nervously eyeing a small boy wielding a plastic lightsaber. “And what’s the sob story? Poodles aren't that sympathetic.” “I’m working on it. Something about a rare, hypoallergenic condition and a desperate need for a specialist vet. Trust me, it’ll tug at their heartstrings… and their wallets. Now, are you with me, or are you going to let a bunch of glitter-covered toddlers deprive us of our due?”
created_at"2026-02-20T20:19:01.351Z" 2/20/2026, 8:19:01 PM
model"google/gemma-3-12b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency379
moderation_latency(null)
generation_time5065
tokens_prompt93
tokens_completion330
native_tokens_prompt75
native_tokens_completion279
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"
usage0.00003927
router(null)
provider_responses
0
endpoint_id"eb06dc92-5a16-47ec-a776-6ef956457c47"
id"chatcmpl-R7rgxt0AeGg2ARtHBykX6rB3"
is_byokfalse
latency61
model_permaslug"google/gemma-3-12b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771618741-nruBCNUjEEOuTbpCsJ6e"
upstream_id"chatcmpl-R7rgxt0AeGg2ARtHBykX6rB3"
total_cost0.00003927
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
97.63% Matches word count n/a
neededCleanfalse
words193
0.00% Dialogue to Total Word Ratio
Ratio: 73.58%, Deviation: 23.58%
neededCleanfalse
wordsTotal193
wordsDialogue142
48.8138%