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Run: 2026-10-13-01M4V21ZMAQW74RAB3W9B2XFW7
Run Details
Model:
Gemini 4 Argon (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
13.6s
Cost:
$0.007144
Provider:
Google AI Studio
Evaluation summary
Score
Evaluator
Details Link
93.65%
Matches word count
(details)
5.43%
Dialogue to Total Word Ratio
(details)
49.5388%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 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
Messages
Meta
AI
Molly unfolded the blueprint across the hood of their rusted van, weighing the corners down with stale jelly donuts. Instead of a bank vault, the schematic detailed a suburban backyard. She tapped a red marker against a crudely drawn octagon. "Behold the target, Billy. Barnaby’s sixth birthday. Intelligence reports thirty wealthy parents trying to outspend each other. That gift table is practically Fort Knox wrapped in dinosaur paper." Bill adjusted his ski mask, which was already making him sweat in the July heat. He squinted at the drawing, tracing a stubby finger along the perimeter. "I don't know, Molly. Six-year-olds are vicious. Remember the toddler incident of twenty-nineteen? Plus, the perimeter is heavily fortified. What is this giant square by the patio?" "The bouncy castle. It is our primary distraction. At precisely fourteen-hundred hours, the clown releases the balloon animals. While theankle-biters are stampeding for inflatable poodles, we breach the side gate." "Wait a minute. There is a clown on site? You didn't mention hired muscle in the briefing. I hate clowns, Molly. Their shoes are unnatural, and they don't feel pain." She rolled her eyes, snatching a donut and taking a vicious bite. Powdered sugardusted her black turtleneck. For a master thief, she had a terrible sweet tooth, and the stakeout had made her irritable. She pointed the half-eaten pastry at his nose. "Pull yourself together, man. It is a teenager named Chuck making minimum wage. If he gives you trouble, pop his balloons and run. Now, focus on the extraction. How fast can you load a wagon?" "Fast enough, assuming the loot isn't bolted down. What are we looking at here? Cash? Bearer bonds? Untraceable gold bullion?" "Better. Limited edition plastic bricks. Have you seen the secondary market for Scandinavian construction toys lately? One Star Wars set will pay our rent through November. We grab the big boxes, ignore the clothes, and vanish." Bill scratched his chin through the itchy wool of his mask, glancing nervously down the quiet, tree-lined street. A minivan rolled past, its bumper stickers gleaming menacingly in the afternoon sun. He swallowed hard and checked the pressure gauge on his weapon of choice, a neon-green dual-tank water blaster filled with lukewarm tap water. "And if the mother spots us? Karen looks like she does CrossFit. She could probably bench-press this van." "That is what the silly string is for. Two blasts to the eyes, and she is neutralized. Then we utilize the slip-and-slide for a high-velocity exit straight into the alley." "You want me to ride a wet tarp in cargo pants? That creates drag, Molly. Basic physics. I will get stuck halfway and be Pelted with cupcakes." "Then grease your thighs with frosting, Bill, because we are going in." She zipped up her tactical vest, which was currently stuffed with spare trash bags and a roll of scotch tape. Down the block, a high-pitched scream of pure, sugar-fueled joy echoed through the humid air. Molly grinned, pulling her goggles over her eyes. The bounce house had just been inflated. It was showtime.
created_at
"2026-10-13T16:38:15.715Z"
10/13/2026, 4:38:15 PM
model
"google/gemini-4-argon-20261013"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1294
moderation_latency
(null)
generation_time
12033
tokens_prompt
75
tokens_completion
789
native_tokens_prompt
97
native_tokens_completion
695
native_tokens_completion_images
0
native_tokens_reasoning
0
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"STOP"
service_tier
(null)
usage
0.007144
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791909495-XJoJJ2M63mVcRqoQYKcD"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791909495-aIcfJLIv95QItixpLhKU"
upstream_id
"eF7Oar2mEIKs_PUP947g0Qg"
provider_responses
0
endpoint_id
"4934736c-d662-4fe3-98eb-56def8c8c174"
id
"eF7Oar2mEIKs_PUP947g0Qg"
is_byok
false
latency
1293
model_permaslug
"google/gemini-4-argon-20261013"
provider_name
"Google AI Studio"
status
200
total_cost
0.007144
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Google AI Studio"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
93.65%
Matches word count
n/a
neededClean
false
words
509
5.43%
Dialogue to Total Word Ratio
Ratio: 57.63%, Deviation: 7.63%
neededClean
false
wordsTotal
524
wordsDialogue
302
49.5388%