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Run: 2026-09-03-01M1KS2QRWE26A0WWGGP6BXW2S
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
32.8s
Cost:
$0.002287
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
83.65%
Dialogue to Total Word Ratio
(details)
91.8259%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 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 taped the blueprints of the community center to the kitchen table while Bill ate cereal straight from the box. Outside the rain hammered the windows, perfect cover for a quiet approach. The children's birthday party was in three hours, forty kids, one giant room, and a mountain of presents by the plastic castle. She traced the service entrance with a red pen. Bill raised an eyebrow at the inflatable dinosaur in the corner. The plan was simple, in through the kitchen, grab the presents, out through the fire exit before the parents noticed the glitter trail. "Molly, are you seriously planning to steal from toddlers?" he asked. "We're not stealing, we're redistributing festive assets," she said. "They have parents." "Parents have insurance," she replied. "And a very loud smoke detector." "That's why we go in during the piƱata," she said. "And out before cake," he added. "Exactly, in and out like ninjas with napkins." "Do we have the toy vacuum?" "Yes, for the presents." "You're a genius, Molly." "I know, Bill, now stop chewing." "Fine," he said. "But if we get caught, I'm blaming the dinosaur." "Deal. And I'm keeping the plush unicorn." "You're impossible." Rain drummed louder now.
created_at
"2026-09-03T13:59:35.458Z"
9/3/2026, 1:59:35 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
278
moderation_latency
(null)
generation_time
32744
tokens_prompt
75
tokens_completion
2194
native_tokens_prompt
118
native_tokens_completion
2075
native_tokens_completion_images
(null)
native_tokens_reasoning
1792
native_tokens_cached
117
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
0.00228748
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443975-RtnkfPTWRYADs7lVimAG"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443975-ncE3QZBdRbBxIYJbgNaw"
upstream_id
"req_0ed0a6ac8ab4ba56cdddfc020cc2fa54"
provider_responses
0
endpoint_id
"6244f10e-1e45-488b-a47f-f575e0edd12b"
id
"req_0ed0a6ac8ab4ba56cdddfc020cc2fa54"
is_byok
false
latency
237
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Phala"
status
200
total_cost
0.00228748
cache_discount
0.00003042
upstream_inference_cost
0
provider_name
"Phala"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
200
83.65%
Dialogue to Total Word Ratio
Ratio: 43.50%, Deviation: 6.50%
neededClean
false
wordsTotal
200
wordsDialogue
87
91.8259%