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Run: 2026-02-26-01KJCS34005QTWVYYPGD1HSKZS
Run Details
Model:
LFM2 24B
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
16.6s
Cost:
$0.000097
Provider:
Together
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.9995%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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
The fluorescent lights of the children’s party buzzed overhead as Molly crouched behind a stack of inflatable unicorns, her eyes darting across the room. Balloons bobbed like oversized jellyfish above tables laden with cupcakes and glittery toys. Bill emerged from the shadows, clutching a duffel bag that looked suspiciously like it had been borrowed from a department store’s clearance bin. “Alright,” Bill said, his voice low but urgent, “the plan’s simple. We hit the gift table first. The kids’ll be distracted by the piñata and the magician’s rabbit, so we’ve got maybe ten minutes before anyone notices.” He adjusted his cap, which had a tiny embroidered chicken on it. “Molly, you’re on lookout. I’ll grab the loot.” Molly rolled her eyes but nodded, adjusting her gloves. “You mean ‘grab’ as in ‘steal,’ right? Because last time you ‘borrowed’ my sister’s wedding ring, she still hasn’t forgiven me.” She paused, then smirked. “But fine, let’s pretend this is a noble cause. Presents for everyone except the kid who brought the moldy fruit cake.” Bill snorted. “Speak for yourself. That cake was a masterpiece. A *scent* masterpiece.” He glanced at the gift table, where a towering pyramid of wrapped boxes stood like a festive Jenga tower. “See that one? The red bow? That’s the target. It’s got the most expensive-looking toy inside—some kind of robot dinosaur. Probably worth more than your entire wardrobe.” Molly leaned closer, her voice dropping to a conspiratorial whisper. “Robots don’t belong at parties. This is a crime scene, not a tech convention.” She tapped her chin. “What if the parents are too busy taking selfies to notice us? Last week, I saw a guy try to sneak a piñata into a Uber. It fell apart mid-air.” Bill chuckled. “You’re overthinking. We’ll move fast. You distract the adults with the ‘magic trick’—tell them you’re a ‘professional illusionist’—while I slip in, grab the robot, and exit through the back door. Easy peasy.” “Easy peasy,” Molly echoed, though her fingers twitched nervously. “Unless someone decides to blow up the piñata early. Then we’re all screwed.” “Then we’ll blame the magician,” Bill said, grinning. “He’s got a history of explosive mishaps. Remember when he turned the rabbit into confetti?” Molly groaned. “That rabbit was *fine*. But fine, let’s say we’re prepared for explosions. What’s the backup plan if the parents show up?” Bill shrugged. “We tell them we’re ‘volunteers’ helping set up. If they ask questions, we say we’re ‘really into party logistics.’ Simple.” A toddler wailed nearby, followed by laughter. Molly checked her watch. “Ten minutes. Let’s move before the magician starts sawing a child in half. Or worse—starting a conga line.” Bill laughed, slinging the duffel over his shoulder. “Ready to rob a birthday?” “Ready to rob a birthday,” Molly agreed, slipping into the crowd. Her heart raced, equal parts thrill and dread. The gifts glinted under the lights, each one a potential trophy. Somewhere, a kid sneezed into a unicorn head. The heist had begun.
created_at
"2026-02-26T10:49:39.419Z"
2/26/2026, 10:49:39 AM
model
"liquid/lfm-2-24b-a2b-20260224"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
242
moderation_latency
(null)
generation_time
16502
tokens_prompt
77
tokens_completion
850
native_tokens_prompt
75
native_tokens_completion
793
native_tokens_completion_images
(null)
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)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.00009741
router
(null)
provider_responses
0
endpoint_id
"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id
"oYufyfx-2j9zxn-9d3ee08570e29e00"
is_byok
false
latency
242
model_permaslug
"liquid/lfm-2-24b-a2b-20260224"
provider_name
"Together"
status
200
api_type
"completions"
id
"gen-1772102979-6XZ6PCYmwLmO4iRSOY6e"
upstream_id
"oYufyfx-2j9zxn-9d3ee08570e29e00"
total_cost
0.00009741
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Together"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
499
0.00%
Dialogue to Total Word Ratio
Ratio: 60.28%, Deviation: 30.28%
neededClean
false
wordsTotal
501
wordsDialogue
302
49.9995%