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Run: 2026-07-25-01KYD568TPRTPVJ592KRFF57MP
Run Details
Model:
Laguna XS 2.1
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
4.2s
Cost:
$0.000083
Provider:
Poolside
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
97.29%
Dialogue to Total Word Ratio
(details)
98.6382%
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 paced behind Bill, who squinted at a crumpled invitation. "So, the target's a third birthday. We’re talking *plenty* of presents, but also a sea of tiny, screaming humans." "Focus, Molly. We hit the cake table first—distract the parents with a ‘fire drill’," Bill said, scribbling notes. "Brilliant. What about the kids themselves? They’re basically armed with cookie crumbs and tantrum grenades." "Two distraction units. We’ll bribe them with…" Bill paused. "Candy? Presents? *Their own presents?*" "Touché. But what about the ‘Superhero Training Academy’ decorations? Are we dodging laser tripwires or just plastic capes?" "Plastic capes. Mostly. The real hazard is Aunt Mildred. She’ll spot us in a heartbeat." "Then we move fast. Like, ‘accidentally’ crash the pinata. Chaos is our getaway car." Bill grinned. "And the loot? We’ll stuff it in the ‘fort’ we built earlier. Abandoned storage unit?" "Perfect. Just hope the kid in the dinosaur costume doesn’t see us." "Wouldn’t worry about him. He’s too busy trying to lick the cake." They clinked water bottles like champagne flutes. "To the heist of the century, Bill." "Only if you promise not to cry when we steal the piñata." Molly fake-sobbed. "I’ll miss it *so much.*"
created_at
"2026-07-25T17:29:27.645Z"
7/25/2026, 5:29:27 PM
model
"poolside/laguna-xs-2.1-20260625"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
77
moderation_latency
(null)
generation_time
3736
tokens_prompt
75
tokens_completion
680
native_tokens_prompt
81
native_tokens_completion
650
native_tokens_completion_images
(null)
native_tokens_reasoning
291
native_tokens_cached
0
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
0.00008286
router
(null)
provider_responses
0
endpoint_id
"089ec178-f6dc-4450-aff5-46f68798ce97"
id
"chatcmpl-2b814991d7ef41c9b476c2e152eb0891"
is_byok
false
latency
77
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-1785000567-WW7H5padTRa5REomcIay"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785000567-UNuk2cKeDivnmvGveVH8"
upstream_id
"chatcmpl-2b814991d7ef41c9b476c2e152eb0891"
total_cost
0.00008286
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Poolside"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
99.98%
Matches word count
n/a
neededClean
false
words
198
97.29%
Dialogue to Total Word Ratio
Ratio: 85.93%, Deviation: 4.07%
neededClean
false
wordsTotal
199
wordsDialogue
171
98.6382%