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Run: 2026-09-03-01M1KS1S0TH6QEM6Y1QN1ZXDWT
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
36.2s
Cost:
$0.002540
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.85%
Dialogue to Total Word Ratio
(details)
99.9261%
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 a paper crown to Bill's forehead and pointed at the blueprints spread across the kitchen table. The target was a three-year-old's birthday in a suburban cul-de-sac, complete with a bouncy castle and a suspicious amount of glitter. Bill adjusted his fake mustache in the toaster oven light. "We are not robbing children," he said. "We are liberating presents from temporary storage." "We're stealing," Molly said. "From a kid who still believes in the tooth fairy." "Same thing," Bill said. "The parents bought them, the kid doesn't need them yet." Molly checked the window schedule. "Party starts at two, cake at three, parents pass out by three thirty. We go in the back, grab the pile, out the dog door." "And if a child tackles us?" Bill asked. "Then we apologize and offer them a juice box," Molly said. "Professionalism." Bill grinned. "I love a heist with snacks." Molly slipped on a pink tutu over her black hoodie. "We need a cover story," she said. "Lost balloon vendor." "Perfect," Bill said. "I will cry." The front door chimed as a neighbor walked by. Molly whispered. "Remember, no glitter on the getaway car." Bill nodded. "Only on the conscience." Now.
created_at
"2026-09-03T13:59:03.972Z"
9/3/2026, 1:59:03 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
290
moderation_latency
(null)
generation_time
36143
tokens_prompt
75
tokens_completion
2232
native_tokens_prompt
118
native_tokens_completion
2305
native_tokens_completion_images
(null)
native_tokens_reasoning
2015
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
0.00254048
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443943-2qA4yfudhoi5a9qKtndD"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443943-XxgTQ1bm9gmteW0qJOgH"
upstream_id
"req_5852cd1aa8fc5a16795257c3d0b2dcb9"
provider_responses
0
endpoint_id
"6244f10e-1e45-488b-a47f-f575e0edd12b"
id
"req_5852cd1aa8fc5a16795257c3d0b2dcb9"
is_byok
false
latency
248
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Phala"
status
200
total_cost
0.00254048
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
99.85%
Dialogue to Total Word Ratio
Ratio: 51.96%, Deviation: 1.96%
neededClean
false
wordsTotal
204
wordsDialogue
106
99.9261%