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Run: 2026-09-03-01M1KRBXSJH9C0WXTV63TN57F4
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
23.0s
Cost:
$0.001608
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
99.92%
Matches word count
(details)
98.95%
Dialogue to Total Word Ratio
(details)
99.4367%
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
The back door of the community center was propped open with a juice box. Molly slipped through first, whispering about the birthday banner that read Happy 7th. Bill followed with a duffel bag and a plastic dinosaur mask. Inside, the living room glittered with paper plates and a mountain of wrapped presents. A teenager bounced a ball while three toddlers fought over a kazoo. The air smelled of frosting and desperation. Molly said, "Bill, the parents are all at the cake table. Perfect distraction." Bill said, "Great, you distract, I'll lift. These gifts are for a seven year old, they're probably all cheap plastic." Molly said, "Cheap plastic is still plastic. And look, there's a tablet. Kid's birthday, parents are stupid generous." Bill said, "We need a plan for the piƱata. It's full of candy and might explode." Molly said, "We take it all, we leave the dinosaur. Nobody suspects the dinosaur." Bill said, "If we get caught, we tell them we're just early guests with terrible timing." Molly said, "Fine, but if a kid cries, we cry louder." Bill said, "Deal." They moved toward the gift table as the birthday song started, hoping the chorus would cover the rustle of wrapping paper.
created_at
"2026-09-03T13:47:07.962Z"
9/3/2026, 1:47:07 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
418
moderation_latency
(null)
generation_time
22966
tokens_prompt
75
tokens_completion
1472
native_tokens_prompt
118
native_tokens_completion
1457
native_tokens_completion_images
(null)
native_tokens_reasoning
1168
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
0.00160768
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443227-GMm8Zbxx08QdSwb2cXXG"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443227-ChfHEhnXQt3OyBIQHhtB"
upstream_id
"req_5ba4c9bfb71baec97be5ab9d0bd710a3"
provider_responses
0
endpoint_id
"6244f10e-1e45-488b-a47f-f575e0edd12b"
id
"req_5ba4c9bfb71baec97be5ab9d0bd710a3"
is_byok
false
latency
379
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Phala"
status
200
total_cost
0.00160768
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
99.92%
Matches word count
n/a
neededClean
false
words
203
98.95%
Dialogue to Total Word Ratio
Ratio: 46.80%, Deviation: 3.20%
neededClean
false
wordsTotal
203
wordsDialogue
95
99.4367%