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Run: 2026-09-03-01M1KREJQA9BT7K4R5HED133MF
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
52.1s
Cost:
$0.003508
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
100.0000%
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 spread a crayon-scribbled invitation across the kitchen table. The glitter glue was still wet. Bill stared at the punch bowl sketch and whistled. Outside rain tapped the window. A children's birthday party at the community center meant parents distracted, presents piled high, and security consisting of one tired aunt. Molly checked her wig, a neon pink princess crown slightly askew. Bill tested the grappling hook made from a coat hanger. The plan was simple, stupid, and perfect. They would enter through the bathroom window during the piƱata. She tucked a tiny flashlight into her boot. Bill nodded approvingly. Finally. "Molly, you realize kids scream louder than alarms," "We're not stealing from kids, we're liberating the parents from future guilt," "Parents don't want these plastic crap toys, they want silence." "Exactly. It's a public service heist with glitter." "What's the exit plan when the seven-year-old ninja shows up?" "I'll distract him with a balloon animal while you grab the pile." "And if we get caught by the tired aunt?" "Then we claim we came for cake and offer a group hug." "Deal. But you owe me for the princess wig," "Fine. Just don't step on the goodie bags. I promise."
created_at
"2026-09-03T13:48:34.929Z"
9/3/2026, 1:48:34 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
282
moderation_latency
(null)
generation_time
52089
tokens_prompt
75
tokens_completion
3464
native_tokens_prompt
118
native_tokens_completion
3185
native_tokens_completion_images
(null)
native_tokens_reasoning
2913
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
0.00350848
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443314-PTDeORfJ27SPFtPSISzH"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443314-AtYvIWRqBSXRG5L68H4K"
upstream_id
"req_90fd329cd1c3866d14f9bdaa27ebe8e1"
provider_responses
0
endpoint_id
"6244f10e-1e45-488b-a47f-f575e0edd12b"
id
"req_90fd329cd1c3866d14f9bdaa27ebe8e1"
is_byok
false
latency
237
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Phala"
status
200
total_cost
0.00350848
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
100.00%
Dialogue to Total Word Ratio
Ratio: 50.25%, Deviation: 0.25%
neededClean
false
wordsTotal
203
wordsDialogue
102
100.0000%