Run: 2026-02-20-01KHY7ZVM0HJ0GVG63VQNCA0W9

Run Details

Duration:
3.2s
Cost:
$0.000024
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
1.04% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.5180% 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 frantic, percussive counterpoint to Molly’s meticulous spread of maps and sticky notes. A chaotic archipelago of glittery wrapping paper scraps dotted the table, remnants of a previous, less-successful operation. Bill, a man built like a slightly disgruntled badger, was attempting to eat a large cheese and pickle sandwich, crumbs clinging to his already stained tweed jacket. “Right, so the ‘Rainbow Rhapsody’ party. Five-year-olds,” Molly stated, tapping a brightly colored map with a red pen. “High risk, potentially high reward. Primarily, we’re after the presents.” Bill chewed thoughtfully, a fleck of pickle dangling from his lip. “Five-year-olds. That’s… specific.” “Specificity is key, Bill. Their parents will be distracted. Balloons. Music. Excessive sugar. A perfect cocktail of blissful obliviousness.” She pointed to a cluster of notes labeled ‘Distraction Tactics’. “I’m thinking a rogue magician. A surprisingly grumpy clown. Perhaps a synchronized swimming routine?” Bill swallowed hard. “Synchronized swimming? Molly, are you mad?” “Just brainstorming, darling. Now, about the ventilation shaft…”
created_at"2026-02-20T19:21:24.875Z" 2/20/2026, 7:21:24 PM
model"google/gemma-3-4b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency146
moderation_latency(null)
generation_time2640
tokens_prompt93
tokens_completion327
native_tokens_prompt75
native_tokens_completion260
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"
usage0.0000238
router(null)
provider_responses
0
endpoint_id"d3de3bd4-81bc-48fb-924f-2a87b2a36e75"
id"chatcmpl-RrXZ7e3OYSwvabkF0qFTFnSt"
is_byokfalse
latency55
model_permaslug"google/gemma-3-4b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771615284-mOXnet2gdSGLevJHg6hs"
upstream_id"chatcmpl-RrXZ7e3OYSwvabkF0qFTFnSt"
total_cost0.0000238
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
1.04% Matches word count n/a
neededCleanfalse
words174
0.00% Dialogue to Total Word Ratio
Ratio: 40.80%, Deviation: 30.80%
neededCleanfalse
wordsTotal174
wordsDialogue71
0.5180%