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Run: 2026-10-13-01M4V1T34N1FVTB5DZZ0244PBZ
Run Details
Model:
Gemini 4 Argon (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
11.3s
Cost:
$0.007024
Provider:
Google AI Studio
Evaluation summary
Score
Evaluator
Details Link
99.92%
Matches word count
(details)
0.49%
Dialogue to Total Word Ratio
(details)
50.2057%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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
The damp basement smelled of stale coffee and desperate ambition. Molly unrolled a blueprint across the wobbling card table, pinning the corners down with a rusted crowbar and a half-eaten burrito. Bill squinted at the paper, adjusting his ski mask even though they were entirely indoors. "Behold, the vault," Molly said. "Fourteen Elm Street. Tomorrow at two, this backyard transforms into the most lucrative goldmine in the tri-state area. Little Timmy’s eighth birthday party." "Wait a minute," Bill said. "We are robbing an eight-year-old? Molly, last week we tried to hijack an armored car. Now we are hitting a suburban patio? Have we really sunk this low?" "Do you know what rich parents buy eight-year-olds in this neighborhood?" Molly asked. "We are not talking about wooden blocks and socks, Bill. We are talking next-generation gaming consoles, high-end tablets, and collector-edition plastic bricks that go for three hundred bucks a pop on the black market. It is entirely untraceable loot. No serial numbers on a wrapping-paper-covered box, my friend. It is the perfect crime." Bill scratched his chin through the yarn of his mask. "Okay, you have my attention," Bill said. "What is the security situation looking like? Dogs? Lasers? Armed guards?" "Worse," Molly whispered. "Over-caffeinated soccer moms and a guy in a rented magician costume. And right here, guarding the gift table next to the rosebushes, is a giant inflatable bouncy castle. It creates a natural choke point." "I hate bouncy castles," Bill muttered. "You lose all your tactical footing. No ankle support. If we have to make a quick getaway through a bouncy castle, we are dead in the water. How do we bypass the perimeter?" Molly tapped the blueprint with a red marker. "Disguises," she said. "We blend right in with the locals. I have already acquired two adult-sized dinosaur costumes. We waddle in through the side gate during the cake-cutting ceremony. Everyone will be looking at the candles. Nobody ever suspects the Tyrannosaurus Rex until it is far too late." "How are we supposed to carry forty wrapped boxes with tiny little dinosaur arms, Molly?" Bill asked. "Think about the physics here. Those costumes have terrible reach. I will not be able to grab a single envelope, let alone a bicycle." "We are not using the arms," Molly explained. "We stuff the high-value packages directly into the inflatable bellies of the suits. We walk in looking like skinny reptiles, and we walk out looking like we just ate a herd of goats. By the time Timmy blows out his candles and wishes for a pony, we will be halfway to the highway with his entire college fund in plastic toys." Bill stared at the map, nodding slowly as a grin stretched beneath his wool mask. "Wait, what if the magician tries to stop us?" Bill asked. "Those guys have birds up their sleeves. And swords." "If the magician gets brave, you hit him with the silly string," Molly ordered. "Now grab your dinosaur tail and help me hot-wire this minivan."
created_at
"2026-10-13T16:33:55.887Z"
10/13/2026, 4:33:55 PM
model
"google/gemini-4-argon-20261013"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1284
moderation_latency
(null)
generation_time
11267
tokens_prompt
75
tokens_completion
763
native_tokens_prompt
97
native_tokens_completion
683
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
0.007024
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791909235-6UJ8oQtr7jFbQP7dnGUQ"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791909235-rO97KKfSiAl36YY86J2q"
upstream_id
"c13OavDpOvDSjMcP7KHbuQU"
provider_responses
0
endpoint_id
"4934736c-d662-4fe3-98eb-56def8c8c174"
id
"c13OavDpOvDSjMcP7KHbuQU"
is_byok
false
latency
1284
model_permaslug
"google/gemini-4-argon-20261013"
provider_name
"Google AI Studio"
status
200
total_cost
0.007024
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
99.92%
Matches word count
n/a
neededClean
false
words
503
0.49%
Dialogue to Total Word Ratio
Ratio: 80.31%, Deviation: 10.31%
neededClean
false
wordsTotal
518
wordsDialogue
416
50.2057%