NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-07-25-01KYD6YRJJ8NAH9FFB26VE3447
Run Details
Model:
Laguna S 2.1
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
9.8s
Cost:
$0.000151
Provider:
Poolside
Evaluation summary
Score
Evaluator
Details Link
35.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
17.5011%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 50% 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 adjusted her black ski mask and stared at the invitation. "So let me get this straight. We're robbing a five-year-old's birthday party." "Not robbing," Bill corrected, flipping through his tablet. "Acquiring. We're acquiring presents. There's a difference." "What's the difference? We're still stealing from kids." "Molly, focus. The objective is clear: remove all gift-wrapped items from the premises before the piñata breaks." "The piñata's a security system?" "Everything's a security system if you think about it enough." Bill tapped his screen. "According to the parent surveillance footage, the birthday girl gets overwhelmed around 2:45 PM. That's our window." "You've been stalking a child's party." "Research. I've been researching." Molly pulled out a detailed blueprint. "I've mapped the gift table placement. It's near the snack table, which means we have to deal with the punch bowl." "The red punch bowl of doom." "Exactly. And there's a bounce house positioned strategically between the exit and our target area." "Great. So we're breaking into Fort Knox, but with more glitter." "Speaking of exits, I've planned three escape routes." Bill pointed at his diagram. "Route one: through the kitchen, where we pose as caterers. Route two: disguised as party entertainers. Route three: we actually become party entertainers." "That last one is just the second one with extra steps." "Details, Molly. Details." "What about the kids themselves? Won't they scream?" "We've accounted for that." Molly pulled out tiny party hats. "We're wearing these. Children trust people in party hats." "That's not how child psychology works." "Neither is stealing from birthday parties, but here we are." Bill consulted his tablet again. "There's also a magician performing. We may need to neutralize him." "You want to fight a magician at a kid's party?" "Competitive intelligence. What if he's better at magic than us?" "How hard is it to pull a rabbit out of a hat? I did that at my nephew's graduation." "That was a different nephew." "Point taken." Molly rolled up her sleeves. "So what's the plan? We sneak in, grab the presents, and get out before anyone notices?" "Not quite. We need to replace the gifts with identical-looking boxes filled with... well, this is where it gets tricky." "Filled with what?" "Rocks. Children don't notice the difference for at least a week." "You want to give kids rocks for Christmas?" "Think of it as performance art. We're teaching them about impermanence and the transient nature of material possessions." "That's either brilliant or deeply disturbing." "Why not both?" Molly looked at her blueprint one more time. "You know what? I'm starting to think maybe we should just rob a bank instead." "Where's your sense of adventure?" "My sense of adventure doesn't involve explaining to my parole officer why I stole presents from a kid who likes dinosaurs." Bill paused. "Wait, how do you know what he likes?" "I've been doing reconnaissance too, okay? Don't act so surprised."
created_at
"2026-07-25T18:00:22.24Z"
7/25/2026, 6:00:22 PM
model
"poolside/laguna-s-2.1-20260720"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
163
moderation_latency
(null)
generation_time
5756
tokens_prompt
75
tokens_completion
782
native_tokens_prompt
109
native_tokens_completion
715
native_tokens_completion_images
(null)
native_tokens_reasoning
0
native_tokens_cached
32
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
0.00015102
router
(null)
provider_responses
0
endpoint_id
"ab7f9e97-1af5-4b81-b099-cc932f54234e"
id
"chatcmpl-65e23a29f6c84f18ab358bceb239e3b7"
is_byok
false
latency
163
model_permaslug
"poolside/laguna-s-2.1-20260720"
provider_name
"Poolside"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1785002422-CETaarBPjIEeiKuHK8i5"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785002422-NZYGXnHtZX59IfHbPDYt"
upstream_id
"chatcmpl-65e23a29f6c84f18ab358bceb239e3b7"
total_cost
0.00015102
cache_discount
0.00000288
upstream_inference_cost
0
provider_name
"Poolside"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
35.00%
Matches word count
n/a
neededClean
false
words
482
0.00%
Dialogue to Total Word Ratio
Ratio: 88.07%, Deviation: 38.07%
neededClean
false
wordsTotal
486
wordsDialogue
428
17.5011%