Run: 2026-02-20-01KHY8PZ4EQJ84BTW0KEYZBE55

Run Details

Duration:
8.4s
Cost:
$0.000039
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
27.17% Matches word count (details)
99.99% Dialogue to Total Word Ratio (details)
63.5768% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
“Right, Bill, let’s go over this again,” Molly said, tapping a glitter-covered napkin with a pen. “Operation Sugar Rush hinges on precision.” Bill scratched his chin. “Precision involving bouncy castles and tiny pirates? Sounds stressful.” “Stressful *and* lucrative. Think of it, Bill! Mountains of untouched toys. The parents are distracted, drowning in juice boxes and awkwardly forced small talk.” “They’ll have security, right? Like, bouncers in clown suits?” “Don’t be ridiculous. They’ll have a stressed-out aunt Mildred and a bored teenager on phone duty. I’ve cased the joint. We go in during the piñata drop, grab and go – twenty seconds, tops.” “Twenty seconds to pilfer a lifetime supply of plastic dinosaurs and princess tiaras?” Bill raised an eyebrow. “Exactly! You’re on distraction. You need to look… approachable.” “Approachable? Me? In a striped shirt and a permanent expression suggesting I’m about to regret life choices?” Molly sighed. “Just… smile, Bill. And compliment a balloon animal.” “A balloon animal? Seriously?” "It’s theater, Bill! Now, are you in or are you going to whine about the existential dread of stealing from children?”
created_at"2026-02-20T19:34:02.14Z" 2/20/2026, 7:34:02 PM
model"google/gemma-3-12b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency481
moderation_latency(null)
generation_time8264
tokens_prompt93
tokens_completion336
native_tokens_prompt75
native_tokens_completion280
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"
usage0.0000394
router(null)
provider_responses
0
endpoint_id"eb06dc92-5a16-47ec-a776-6ef956457c47"
id"chatcmpl-RpFAJAuh5Sw814ERJscseEsr"
is_byokfalse
latency75
model_permaslug"google/gemma-3-12b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771616042-dccoVun8y7LePuAcXiSR"
upstream_id"chatcmpl-RpFAJAuh5Sw814ERJscseEsr"
total_cost0.0000394
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
27.17% Matches word count n/a
neededCleanfalse
words181
99.99% Dialogue to Total Word Ratio
Ratio: 88.95%, Deviation: 1.05%
neededCleanfalse
wordsTotal181
wordsDialogue161
63.5768%