NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-07-25-01KYD5XDJMXHEWKJYD25VM8WPV
Run Details
Model:
Laguna XS 2.1
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
8.2s
Cost:
$0.000088
Provider:
Poolside
Evaluation summary
Score
Evaluator
Details Link
0.08%
Matches word count
(details)
99.73%
Dialogue to Total Word Ratio
(details)
49.9073%
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 leaned against the warehouse crate, tapping her fingers. "Bill, we’ve got to move fast. The Henderson party starts in an hour. Kids, balloons, *presents*—plenty to strip the place bare." Bill adjusted his fake mustache. "Steal from a *children’s party*? That’s not a heist, that’s a crime against joy." "Joy’s overrated. Those presents are wrapped in *unicorn glitter paper*. I’m going full *Ocean’s Eleven*, but with more sugar highs." "Unicorns? Molly, we’re thieves, not decorators." "Relax. Operation: Rainbow Heist is a go. We’ll distract the parents with a ‘stray dog’—a.k.a. your squeaky toy terrier—and slip in through the back. You’ll knocker the window; I’ll disable the motion sensor with this—" She brandished a rubber chicken. "That’s not a tool." "It’s a *symbol* of chaos." "Right. And what if a child spots us?" "Easy. I’ll bribe them with a stolen cupcake. They’re bribed already." Bill groaned. "We’re terrible at this." "Perfection takes practice. Now, let’s go make orphans cry and get paid." "Orphans? We’re stealing from *other* children." "Details, Bill. Details."
created_at
"2026-07-25T17:42:06.174Z"
7/25/2026, 5:42:06 PM
model
"poolside/laguna-xs-2.1-20260625"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
70
moderation_latency
(null)
generation_time
7791
tokens_prompt
75
tokens_completion
754
native_tokens_prompt
81
native_tokens_completion
708
native_tokens_completion_images
(null)
native_tokens_reasoning
387
native_tokens_cached
64
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
0.0000879
router
(null)
provider_responses
0
endpoint_id
"089ec178-f6dc-4450-aff5-46f68798ce97"
id
"chatcmpl-6cd021275c194622bc31c0543a82d6cc"
is_byok
false
latency
67
model_permaslug
"poolside/laguna-xs-2.1-20260625"
provider_name
"Poolside"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1785001326-i70w19II4SSprjKfGhTM"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785001326-w28Jq16WwhoC9a7pdcAh"
upstream_id
"chatcmpl-6cd021275c194622bc31c0543a82d6cc"
total_cost
0.0000879
cache_discount
0.0000032
upstream_inference_cost
0
provider_name
"Poolside"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
0.08%
Matches word count
n/a
neededClean
false
words
171
99.73%
Dialogue to Total Word Ratio
Ratio: 87.72%, Deviation: 2.28%
neededClean
false
wordsTotal
171
wordsDialogue
150
49.9073%