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Run: 2026-07-25-01KYD6422CVSXQXSF8B1S06V0E
Run Details
Model:
Laguna XS 2.1
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
4.1s
Cost:
$0.000085
Provider:
Poolside
Evaluation summary
Score
Evaluator
Details Link
95.99%
Matches word count
(details)
99.31%
Dialogue to Total Word Ratio
(details)
97.6474%
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 brick wall, arms crossed. Bill fidgeted with a crumpled map. “Alright, so the party’s at the Henderson place. Six o’clock, right?” “Yeah, birthday boy’s six. Should be a ton of presents. Cereal boxes, board games—” “We’re stealing them, not inventorying.” She rolled her eyes. “I know, I know. But how do we get in? The backdoor’s got motion sensors.” “Then we go through the kitchen window. It’s old. I saw it last week when I was… uh… casing the joint.” “Casing. Right. And the parents? They’ll hear us.” “Distraction. Piñata. Kids go wild. While they’re swinging, we’re in and out.” “What if the clown shows up? He’s got a squeaky horn.” “Clown or not, we’re not getting caught. Just wait till the cake’s cut. Everyone’s too busy with candles to notice.” Bill gulped. “And the loot? How do we split it?” “We don’t. We sell it. eBay, Facebook Marketplace—” “We’re not selling *toys*!” “Relax. We’ll keep the good stuff. The rest? Charity auction. For tax write-offs.” Molly smirked. “Smooth, Bill. Smooth.” They high-fived. “See you at the window. And Bill?” “Yeah?” “Don’t wear the clown nose. It’s tacky.”
created_at
"2026-07-25T17:45:43.764Z"
7/25/2026, 5:45:43 PM
model
"poolside/laguna-xs-2.1-20260625"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
67
moderation_latency
(null)
generation_time
2489
tokens_prompt
75
tokens_completion
710
native_tokens_prompt
81
native_tokens_completion
683
native_tokens_completion_images
(null)
native_tokens_reasoning
326
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
0.0000849
router
(null)
provider_responses
0
endpoint_id
"089ec178-f6dc-4450-aff5-46f68798ce97"
id
"chatcmpl-5f6c5fa4c55b4045a96b18c0fb90e074"
is_byok
false
latency
66
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-1785001543-CukP6Ubg8A1WcpDreqbq"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785001543-5O6vE9InqEUZoEQQaRtc"
upstream_id
"chatcmpl-5f6c5fa4c55b4045a96b18c0fb90e074"
total_cost
0.0000849
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
95.99%
Matches word count
n/a
neededClean
false
words
192
99.31%
Dialogue to Total Word Ratio
Ratio: 87.11%, Deviation: 2.89%
neededClean
false
wordsTotal
194
wordsDialogue
169
97.6474%