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Run: 2026-03-11-01KKFDEE21GCJ0FJWP1T8KH5D7
Run Details
Model:
Nemotron 3 Super
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
5m 4s
Cost:
$0.000000
Provider:
Nvidia
Evaluation summary
Score
Evaluator
Details Link
99.74%
Matches word count
(details)
99.87%
Dialogue to Total Word Ratio
(details)
99.8092%
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 slipped the glitter‑covered invitation onto the kitchen table, squinting at the cartoon dinosaurs grinning from the edge, while the scent of vanilla cake drifted from oven. “Bill,” she whispered, “birthday bash at three. Parents think they hired a clown; we’ll be the surprise.” Bill leaned against the fridge, tapping a spoon against his chin. “A clown? You want us in costume? I’m terrible at juggling—last time I knocked over Aunt Marge’s vase and cried for an hour.” He laughed, the sound bouncing off the tiled floor. Molly grinned, eyes sparkling like the confetti she’d pocketed earlier. “We don’t need to juggle. We’ll blend in. I’ll wear the rainbow wig with glitter, you’ll wear big shoes that squeak. Kids think we’re entertainment and will laugh loudly today. We’ll swipe the presents while they’re busy pinning the tail.” Bill scratched his head. “Presents are near the cake. How to get them out without tripping the alarm? Mom installed a motion sensor that beeps when the lid lifts.” Molly tapped her fingertip against the sensor diagram she’d sketched on a napkin. “Simple. We’ll distract the sensor with bright confetti cannons. The puff confuses infrared, buying us ten seconds. Then I’ll slip the bag under the table and we’ll quickly run right away for the backyard today.” Bill’s eyebrows shot up. “Confetti cannons? Where do we get them? Will the kids notice a paper snowstorm?” Molly shrugged. “I ‘borrowed’ extra stock from a party store. They’ll think it’s theme. For the kids, we’ll hand each a balloon animal—makes them happy and keeps hands busy.” Bill chuckled. “Balloon animals? I can barely tie a knot. Remember when I tried a poodle and got a sad worm?” Molly laughed, the sound bubbling like soda. “I’ll handle colorful balloons. You’re the lookout, watching the parents, especially Dad—his stare could melt steel. If he looks our way, whistle the tune from that old cartoon we love. It’ll signal me to freeze and we’ll move.” Bill nodded, pretending to salute with a plastic sword. “Roger that. Whistle the ‘Turkey in the Straw’ riff. Got it. After we nab the gifts, meet at the old oak by the swing set, right?” Molly checked her watch, the tiny hands ticking toward showtime. “Exactly. We’ll load the sack into the getaway cart—yeah, I borrowed Dad’s golf cart. It’s quiet, fast, looks innocent. We’ll be gone before the cake is cut.” Bill stood, stretching his arms. “What if the kids cry when their presents disappear?” Molly’s expression softened. “We’ll leave a note: ‘Thanks for the fun! – Mystery Party Crew.’ Kids love mysteries; parents think it’s a game. We’ll slip a few bright cheap trinkets back as decoys after the party today. Everyone wins, sort of.” Bill grinned, eyes alight with mischief. “Alright, partner in crime. Let’s make this an unforgettable birthday ever—for us.” They shared a quick fist bump, the sound muffled by the kitchen linoleum, and slipped back into the planning whirl, already hearing the distant squeal of children’s laughter.
created_at
"2026-03-11T21:39:32.559Z"
3/11/2026, 9:39:32 PM
model
"nvidia/nemotron-3-super-120b-a12b-20230311:free"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
300
moderation_latency
(null)
generation_time
304309
tokens_prompt
95
tokens_completion
21009
native_tokens_prompt
82
native_tokens_completion
23243
native_tokens_completion_images
(null)
native_tokens_reasoning
20175
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0
router
(null)
provider_responses
0
endpoint_id
"970aecad-f13b-4ec3-9362-e1758aea3e56"
id
"chatcmpl-b89961c0c35afc2a"
is_byok
false
latency
228
model_permaslug
"nvidia/nemotron-3-super-120b-a12b-20230311"
provider_name
"Nvidia"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer
(null)
api_type
"completions"
id
"gen-1773265172-qsCeEpGxP4nH4YyhHY25"
upstream_id
"chatcmpl-b89961c0c35afc2a"
total_cost
0
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Nvidia"
Evaluation details
Result
Evaluator
Details
Meta Data
99.74%
Matches word count
n/a
neededClean
false
words
504
99.87%
Dialogue to Total Word Ratio
Ratio: 69.84%, Deviation: 0.16%
neededClean
false
wordsTotal
504
wordsDialogue
352
99.8092%