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Run: 2026-10-13-01M4V237MN375VX9476FHFZHG2
Run Details
Model:
Gemini 4 Argon (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
10.6s
Cost:
$0.006764
Provider:
Google AI Studio
Evaluation summary
Score
Evaluator
Details Link
98.71%
Matches word count
(details)
21.63%
Dialogue to Total Word Ratio
(details)
60.1695%
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 unrolled the blueprints across the sticky kitchen table, weighing down the corners with a half-empty jar of mayonnaise and a crowbar. The paper smelled faintly of dry-erase markers and suburban desperation. She tapped a red circle near the center of the laminated page. Bill squinted through his thick glasses, leaning over the table until his nose nearly touched the paper. He scratched his stubble, looking entirely unconvinced by the brightly colored schematic she had drawn in crayon. "Behold the fortress of seven-year-old Barnaby Vanguard," Molly said. "His father owns three dental clinics, which means this birthday party is going to be a goldmine of untraceable plastic bricks and high-end electronics." Bill sighed, picking up a pink highlighter. "You want us to rob a bunch of first graders, Molly? We used to hit armored cars in Milan, and now we are targeting a backyard with a bouncy castle?" "Do you know the street value of a mint-condition Star Wars Lego set on the secondary market?" Molly asked, her eyes gleaming with manic energy. "It makes diamonds look like gravel, Bill, absolute gravel." He leaned back, crossing his arms over his stained tracksuit. The chair squeaked in protest under his bulk. Outside the window, a siren wailed in the distance, completely unrelated to their current misdemeanor in the making, though it still made Bill flinch out of professional habit. He pointed a stubby finger at a crudely drawn square near the patio area of the blueprint. "What is this obstacle right here by the rhododendrons?" Bill asked, tapping the green crayon smudge. "Is that a guard doghouse or an automated turret system?" "Worse," Molly said grimly. "That is the autonomous sugar dispenser, otherwise known to the local suburbanites as a cotton candy machine." "Sticky fingers leave prints," Bill muttered, shaking his head. "And what about the hired muscle? Are we dealing with off-duty cops or private security?" "Just one guy," Molly said, sliding a glossy photograph across the table. "He goes by the name Sir Giggles, and he works primarily in balloon animals and existential dread." Bill stared at the photo of the melancholic clown. The man looked like he had seen the bottom of a very dark bottle of gin before painting on his smile. Bill tapped the clown's red nose thoughtfully. He reached for his lukewarm coffee, taking a slow sip while calculating the odds of surviving a confrontation with a flock of sugar-high children. The math was not entirely in their favor, especially if there were piƱatas involved, because those kids would be armed with heavy wooden sticks. "If that clown gets in my way, I am popping his poodle," Bill said, his voice dropping an octave. "How do we extract the loot without triggering a tantrum alarm?" "We go in disguised as the artisanal organic juice caterers," Molly explained, holding up two beige aprons. "While the targets are distracted by the cake ceremony, we load the gift table into the hollowed-out kombucha kegs." "God help us if they have a magician," Bill groaned.
created_at
"2026-10-13T16:38:55.394Z"
10/13/2026, 4:38:55 PM
model
"google/gemini-4-argon-20261013"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1126
moderation_latency
(null)
generation_time
10543
tokens_prompt
75
tokens_completion
774
native_tokens_prompt
97
native_tokens_completion
657
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
0.006764
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791909535-7rKsL7EkPLq3D376HEVI"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791909535-8TEzzpVFVfxHMwrsdHYW"
upstream_id
"n17Oat6CHs2x1MkP2ci14Q0"
provider_responses
0
endpoint_id
"4934736c-d662-4fe3-98eb-56def8c8c174"
id
"n17Oat6CHs2x1MkP2ci14Q0"
is_byok
false
latency
1126
model_permaslug
"google/gemini-4-argon-20261013"
provider_name
"Google AI Studio"
status
200
total_cost
0.006764
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
98.71%
Matches word count
n/a
neededClean
false
words
506
21.63%
Dialogue to Total Word Ratio
Ratio: 44.47%, Deviation: 5.53%
neededClean
false
wordsTotal
515
wordsDialogue
229
60.1695%