Run: 2026-02-20-01KHYB00CCRBHXZAXESKR15JMG

Run Details

Duration:
3.5s
Cost:
$0.000024
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0000% 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
“Right, so, Operation Sugar Rush. Let’s run it again,” Molly said, meticulously taping a miniature map of the community hall to the greasy diner table. “Seriously, Molly? A children’s party? We’re risking jail time for… stuffed animals?” Bill grumbled, picking at a cold french fry. “Don’t be ridiculous. It’s not the stuffed animals, Bill. It’s the *potential*. Think of the resale value! Vintage Beanie Babies, probably. And the glitter!” “Glitter is a biohazard. You realize that, right?” “Details, details. Okay, I disable the security cameras – focusing on the pixar themed ones, obviously – you handle the door. We go in, grab the presents, and out. Discreetly. Like ninjas.” “Ninjas who wear camouflage sweaters and are slightly terrified of children. What if a kid asks us what we're doing?" “Just say we’re… evaluating the party decorations! Yes! We’re evaluating the decorations. Now, about the helium balloons…” “Let’s just get this over with. Can we at least get some napkins?”
created_at"2026-02-20T20:13:55.478Z" 2/20/2026, 8:13:55 PM
model"google/gemma-3-4b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency175
moderation_latency(null)
generation_time3319
tokens_prompt93
tokens_completion284
native_tokens_prompt75
native_tokens_completion257
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"
usage0.00002356
router(null)
provider_responses
0
endpoint_id"d3de3bd4-81bc-48fb-924f-2a87b2a36e75"
id"chatcmpl-RGwbnnnVmHm6YeCD5kZYFZZ9"
is_byokfalse
latency57
model_permaslug"google/gemma-3-4b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771618435-ttHreGoSc5syUntUU1b7"
upstream_id"chatcmpl-RGwbnnnVmHm6YeCD5kZYFZZ9"
total_cost0.00002356
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words157
0.00% Dialogue to Total Word Ratio
Ratio: 84.71%, Deviation: 34.71%
neededCleanfalse
wordsTotal157
wordsDialogue133
0.0000%