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Run: 2026-09-02-01M1HHH0PRTRMCRKWAYDMYQ06B
Run Details
Model:
Gemini 3.8 Flash (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
24.3s
Cost:
$0.029844
Provider:
Google AI Studio
Evaluation summary
Score
Evaluator
Details Link
0.49%
Matches word count
(details)
13.94%
Dialogue to Total Word Ratio
(details)
7.2137%
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 a crinkled blueprint across the dashboard of their surveillance van, pinning the corners with stale donuts. "The target is seven years old today, Bill. Put some respect on his name." "Molly, it’s a bouncy castle, not the Bellagio," Bill sighed, rubbing his temples as he peered through scratched binoculars at the suburban backyard. "That inflatable fortress is a structural distraction, you amateur. Look at the perimeter." Bill pointed a skeptical finger at a scribbled section of the map. "I'm looking at a piece of notebook paper with a crayon drawing of a pony." "That is Mrs. Higgins' prize-winning gelding, and he guards the patio doors. Now, talk to me about the payload." Bill consulted a grease-stained printout fished from the family’s recycling bin. "According to the registry, Leo requested three drones, an electric go-kart, and a mint-condition Millennium Falcon." "Sweet mother of retail arbitrage." Molly rubbed her palms together eagerly. "There are also twenty gift cards to Build-A-Bear, but I draw the line at laundering plush stuffing." "Stick to the high-end plastics and electronics, Bill. What's our tactical window?" "The magician starts at two. He’s booked for forty-five minutes, but the sugar-crazed mob will turn on him in twenty." "So we move at two-fifteen sharp. That gives us ten minutes before the piñata bloodbath begins." Bill scanned the lawn, stiffening as a woman in designer yoga pants appeared. "What about Linda? She's ruthless. I saw her elbow an elderly woman over organic juice boxes." "I’ve neutralized her," Molly whispered, flashing a triumphant grin. "A decoy courier delivers a fake artisanal cheese board. While she disputes truffle rinds, we breach the sunroom." "And our tactical attire?" Molly reached into the footwell and hoisted two enormous heaps of brown fur. "Behold." "Molly, these are oversized felt beaver costumes." "Barnaby Beaver and his brother, Biff. If challenged, we claim we're eco-conscious regional entertainment." "The tail is full of wood chips. I can barely waddle, let alone sprint with a go-kart." "Waddle with purpose! Did Danny Ocean whine about tuxedo fit? No. He adapted. You adapt, Bill." "Danny Ocean never had a damp rodent snout pinching his nose," Bill grumbled, shoving his face into the musty mask. "The cavernous cheek pouches offer optimal concealment for the jewelry box on the hallway credenza." "You expect me to regurgitate stolen heirlooms?" "I expect you to act like a master thief," Molly snapped, zipping her synthetic pelt. "Now, identify the primary hazard." "The hyperactive golden retriever?" "Toddlers with juice pouches. If they tag your fur with syrup, forensics traces the dye across state lines." "You are clinically paranoid," Bill muttered from behind thick foam. "I am thorough. An eight-hundred-dollar drone sits beside a gluten-free cake, and it belongs to us. Synchronize watches." "My watch is buried under synthetic fur." "Then synchronize your soul, Bill. At two-fifteen, we strike."
created_at
"2026-09-02T17:09:05.888Z"
9/2/2026, 5:09:05 PM
model
"google/gemini-3.8-flash-20260902"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2412
moderation_latency
(null)
generation_time
24293
tokens_prompt
75
tokens_completion
3059
native_tokens_prompt
67
native_tokens_completion
7945
native_tokens_completion_images
0
native_tokens_reasoning
7235
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
"default"
usage
0.029844
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788368945-hto1ZTanBhpMVnLgMMVF"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788368945-0DZwBL5qx4QFW3pqwVcu"
upstream_id
"MViYaoGlOoz2jMcPr5ay6QY"
provider_responses
0
endpoint_id
"d376f781-516d-42f9-936d-46f19abca6cc"
id
"MViYaoGlOoz2jMcPr5ay6QY"
is_byok
false
latency
2412
model_permaslug
"google/gemini-3.8-flash-20260902"
provider_name
"Google AI Studio"
status
200
total_cost
0.029844
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
0.49%
Matches word count
n/a
neededClean
false
words
473
13.94%
Dialogue to Total Word Ratio
Ratio: 76.28%, Deviation: 6.28%
neededClean
false
wordsTotal
489
wordsDialogue
373
7.2137%