Run: 2026-02-20-01KHY8M5K04VG2ZAFJJH469EBF

Run Details

Duration:
3.3s
Cost:
$0.000024
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
20.19% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
10.0948% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 rain hammered against the corrugated iron roof of the abandoned warehouse, a soundtrack to our increasingly ludicrous plan. Molly traced a finger across the blueprint – a ridiculously detailed schematic of “Princess Sparkle’s Unicorn Extravaganza” held at the community hall. “Right, so the pressure sensors are surprisingly calibrated to the rhythm of a five-year-old’s bouncing,” she said, meticulously highlighting a point with a chewed-up pencil. “We’ll need to time our entry precisely with Little Timmy’s rendition of ‘Happy Birthday.’” Bill, a man built like a slightly deflated rhinoceros, shifted his weight. “And the laser grid? You’re sure it's programmed to register glitter?” “Absolutely. Mrs. Higgins, bless her polyester heart, is obsessed with sparkle. It’s basically a disco for rodents.” Molly tapped the blueprint again. “I’ve factored in the inevitable sugar rush. Everyone anticipates hyperactivity. It's a major variable.” Bill stared at the image of a room brimming with brightly wrapped packages. "Just...a lot of presents, huh?" “A glorious, shimmering mountain of juvenile delight,” Molly confirmed, a disturbing glint in her eye. “Operation Unicorn Loot is a go.”
created_at"2026-02-20T19:32:30.52Z" 2/20/2026, 7:32:30 PM
model"google/gemma-3-4b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency151
moderation_latency(null)
generation_time2982
tokens_prompt93
tokens_completion328
native_tokens_prompt75
native_tokens_completion263
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"
usage0.00002404
router(null)
provider_responses
0
endpoint_id"d3de3bd4-81bc-48fb-924f-2a87b2a36e75"
id"chatcmpl-RGQyWL2aw5SQDnO9BklhLi8R"
is_byokfalse
latency53
model_permaslug"google/gemma-3-4b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771615950-pr1PUipIZlSSFZcWvk4w"
upstream_id"chatcmpl-RGQyWL2aw5SQDnO9BklhLi8R"
total_cost0.00002404
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
20.19% Matches word count n/a
neededCleanfalse
words180
0.00% Dialogue to Total Word Ratio
Ratio: 52.78%, Deviation: 42.78%
neededCleanfalse
wordsTotal180
wordsDialogue95
10.0948%