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Run: 2026-10-13-01M4V1VEFMXQ96FHNCH07KNZ9V
Run Details
Model:
Gemini 4 Argon (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
5.9s
Cost:
$0.003214
Provider:
Google AI Studio
Evaluation summary
Score
Evaluator
Details Link
90.48%
Matches word count
(details)
99.19%
Dialogue to Total Word Ratio
(details)
94.8385%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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. "This is madness, Molly. A five-year-old's birthday? We rob banks, not bounce houses." "Have you seen the resale value on limited-edition Lego sets, Bill? It's an untapped goldmine. Now focus. Here's the perimeter. The bouncy castle provides our blind spot." "And the guards?" "Two overtired dads by the barbecue, and a distracted teenager in a knock-off Spider-Man suit." "I don't like it. Five-year-olds are vicious. Remember the museum job when that toddler bit my ankle?" "We will be in disguise. Put on the clown nose." "No. Absolutely not. I have a reputation." "Put it on, Bill, or I take seventy percent of the PlayStation haul. Look, we breach the patio doors at fourteen-hundred hours, right when they cut the Paw Patrol cake. Maximum sugar-induced chaos. Nobody will even look at the gift table." "What if the kid spots us?" "You honk your nose, hand him a balloon sword, and we vanish into the minivan with the loot." Bill sighed, squeezing the foam red nose onto his face. "If Spider-Man tries to be a hero, I'm tasing him." "Agreed. Now grab the burlap sacks. It's party time."
created_at
"2026-10-13T16:34:40.257Z"
10/13/2026, 4:34:40 PM
model
"google/gemini-4-argon-20261013"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1348
moderation_latency
(null)
generation_time
5894
tokens_prompt
75
tokens_completion
291
native_tokens_prompt
97
native_tokens_completion
302
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
0.003214
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791909280-pMqMigDyu2Ex8SzMUt0S"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791909280-W64zHLIyphCeL7thf4h0"
upstream_id
"oF3OavC9FKi31MkPgaTr6A0"
provider_responses
0
endpoint_id
"4934736c-d662-4fe3-98eb-56def8c8c174"
id
"oF3OavC9FKi31MkPgaTr6A0"
is_byok
false
latency
1343
model_permaslug
"google/gemini-4-argon-20261013"
provider_name
"Google AI Studio"
status
200
total_cost
0.003214
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
90.48%
Matches word count
n/a
neededClean
false
words
190
99.19%
Dialogue to Total Word Ratio
Ratio: 93.00%, Deviation: 3.00%
neededClean
false
wordsTotal
200
wordsDialogue
186
94.8385%