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Run: 2026-10-13-01M4V1W2FVHKDB63S01HW6W3VP
Run Details
Model:
Gemini 4 Argon (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
10.1s
Cost:
$0.006694
Provider:
Google AI Studio
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
11.52%
Dialogue to Total Word Ratio
(details)
55.7543%
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 on the sticky diner table, smoothing out a crease near the juice box station. It wasn't actually a blueprint; it was a Paw Patrol napkin she had stolen from the target’s mailbox, upon which she had drawn several aggressive red arrows. Bill leaned in, his massive shoulders blocking the fluorescent light, and squinted at the crude sketch of a suburban backyard. "Run the perimeter details by me again," Bill said, tapping a thick finger against a squiggly circle. "Is this a guard dog or a unusually aggressive shrub?" "That is the bouncy castle, you absolute turnip," Molly hissed, looking around to ensure the waitress wasn't eavesdropping. "And it is our primary distraction. At fourteen hundred hours, the sugar rush hits critical mass. The miniature humans will swarm the inflatable fortress, leaving the gift table entirely unguarded by the patio." Bill stroked his chin, his brow furrowing into deep trenches of skepticism. "I don't like it, Molly. Seven-year-olds are unpredictable. Feral, even. Last week I saw one bite a mall Santa right on the kneecap. What if they don't bounce? What if they guard the loot?" "They won't guard the loot because of Phase Two," Molly said, her eyes gleaming with manic brilliance. She reached into her trench coat and slammed a bright yellow mask onto the Formica table. "We go in undercover. I am the balloon artist. You are Big Chuckles, the clumsy clown. While I blind them with complex poodle shapes, you back the minivan up to the petunias and load the Lego sets." Bill stared at the plastic nose resting between the salt and pepper shakers. A muscle feathered in his jaw. He had spent six years in maximum security, and somehow, this felt more degrading than the time he had to smuggle a hacksaw in his underpants. "I am not wearing the nose, Molly. I have a reputation in the underworld. People call me The Butcher of Bakersfield." "You worked at a deli in Bakersfield, Bill, and you got fired for dropping a ham on your foot. Put the nose on. Little Timmy’s parents are hedge fund managers. Do you know what kind of tribute these affluent toddlers bring? We are talking pristine Nintendo Switches, untraceable Amazon gift cards, and top-tier plastic dinosaurs. It is a goldmine wrapped in dinosaur paper." He sighed, a sound like a deflating tire, and picked up the foam sphere. The elastic string snapped against his ears as he secured it over his crooked nose. "Fine. Suppose we bypass the maternal lookouts by the charcuterie board. How do we neutralize the piñata? If they start swinging bats, things get kinetic real fast." Molly grinned, rolling up the napkin and stuffing it into her pocket. She slid out of the vinyl booth and adjusted her belt. "Leave the papier-mâché donkey to me. Just make sure the getaway van has plenty of room in the trunk, and for the love of God, don't eat the cake this time."
created_at
"2026-10-13T16:35:00.742Z"
10/13/2026, 4:35:00 PM
model
"google/gemini-4-argon-20261013"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1421
moderation_latency
(null)
generation_time
10039
tokens_prompt
75
tokens_completion
733
native_tokens_prompt
97
native_tokens_completion
650
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
0.006694
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791909300-G1YPYZKCA761QE2Lkc0h"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791909300-MQ9Pf0oP6HQrDkUek4pt"
upstream_id
"tF3OasGpMZbTjMcPi7Sn8Qw"
provider_responses
0
endpoint_id
"4934736c-d662-4fe3-98eb-56def8c8c174"
id
"tF3OasGpMZbTjMcPi7Sn8Qw"
is_byok
false
latency
1421
model_permaslug
"google/gemini-4-argon-20261013"
provider_name
"Google AI Studio"
status
200
total_cost
0.006694
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
99.98%
Matches word count
n/a
neededClean
false
words
498
11.52%
Dialogue to Total Word Ratio
Ratio: 56.57%, Deviation: 6.57%
neededClean
false
wordsTotal
502
wordsDialogue
284
55.7543%