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Run: 2026-10-13-01M4V1W75D3NAJBG4NY45XVKXS
Run Details
Model:
Gemini 4 Argon (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
12.0s
Cost:
$0.007334
Provider:
Google AI Studio
Evaluation summary
Score
Evaluator
Details Link
43.38%
Matches word count
(details)
2.54%
Dialogue to Total Word Ratio
(details)
22.9586%
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
Molly unrolled the blueprints across the sticky diner booth, weighing down the corners with a ketchup bottle and a half-eaten glazed donut. Bill leaned in, squinting through his thick glasses at the crudely drawn map. "Tell me again why we are knocking over a Chuck E. Cheese?" Bill whispered. "It is not a Chuck E. Cheese, Bill, it is the Henderson backyard, and the target is little Timmy’s seventh birthday," Molly said, tapping the paper. "Do you have any idea what the going rate on the black market is for a mint-condition Lego Millennium Falcon? We are talking eight hundred bucks, easy. Plus, his grandmother always gives crisp fifties in the greeting cards. It is a goldmine." "I do not know, Molly. Seven-year-olds are vicious. Remember the bouncy castle incident in Boca Raton? I still have a scar from that kid’s braces." "We were amateurs then. Today, we are professionals. Look at the schematic. The cake cutting is at fourteen-hundred hours. That is our window. Every sugar-crazedankle-biter in the tri-state area will be swarming the patio table, singing off-key. While they are distracted by buttercream, we breach the gift zone." Bill scratched his chin, knocking over the salt shaker. "What about security? Are we dealing withrent-a-cops? Attack dogs?" "Worse. Suburban moms fueled by pinot grigio and passive-aggressive resentment. They see everything, Bill. That is why we need disguises." Molly reached beneath the table and hoisted a heavy canvas duffel bag onto the vinyl seat, unzipping it with a dramatic flourish. Bill stared into the bag, the color draining rapidly from his face. "I am not wearing the polka-dot trousers, Molly. A man has his pride." "You are Barnaby the Juggling Clown, and I am your whimsical assistant, Snickerdoodle. We walk right through the front gate, make a balloon poodle for the Hendersons' neurotic Chihuahua, and then we back the minivan up to the rhododendrons." "I cannot juggle! The last time I tried to juggle oranges, I concussed a mailman." "You do not have to actually juggle, you idiot. Just throw some colorful scarves in the air and giggle maniacally. If anyone gets suspicious, squirt them with the trick lapel flower and run like hell. The getaway vehicle will be idling in the driveway." Bill pulled a giant red foam nose from the bag and squeezed it. It let out a pathetic squeak. "If we get caught, we are going to prison dressed like circus rejects. Do you know what they do to clowns in maximum security, Molly? It is not pretty. They do not respect the artistry of mime." "Nobody is going to prison, Bill. We get in, we grab the shiny wrapping paper, we stuff the loot into the oversized novelty trousers, and we vanish before Timmy even blows out his candles. It is the perfect crime. Literally like taking candy from a baby, except it is high-end Danish plastic from a first-grader." "Fine, I am in," Bill sighed, strapping the foam nose onto his face. "Wait, do I at least get a slice of the Spider-Man sheet cake?" "Focus, Barnaby! Eyes on the Lego prize."
created_at
"2026-10-13T16:35:05.528Z"
10/13/2026, 4:35:05 PM
model
"google/gemini-4-argon-20261013"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1370
moderation_latency
(null)
generation_time
11963
tokens_prompt
75
tokens_completion
772
native_tokens_prompt
97
native_tokens_completion
714
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
0.007334
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791909305-xDVnZFrpLOpqIeu2aO99"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791909305-Q1LVbSSLvhpNooeAiKUE"
upstream_id
"uV3OarSPJcLSjMcP8a6R8As"
provider_responses
0
endpoint_id
"4934736c-d662-4fe3-98eb-56def8c8c174"
id
"uV3OarSPJcLSjMcP8a6R8As"
is_byok
false
latency
1370
model_permaslug
"google/gemini-4-argon-20261013"
provider_name
"Google AI Studio"
status
200
total_cost
0.007334
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
43.38%
Matches word count
n/a
neededClean
false
words
517
2.54%
Dialogue to Total Word Ratio
Ratio: 78.57%, Deviation: 8.57%
neededClean
false
wordsTotal
532
wordsDialogue
418
22.9586%