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Run: 2026-09-03-01M1KRHGVAKT1X06DA78YDMX3K
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
17.8s
Cost:
$0.001107
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
60.28%
Matches word count
(details)
95.64%
Dialogue to Total Word Ratio
(details)
77.9583%
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 checked the map while Bill adjusted his clown nose. "Molly, are you sure a birthday party is a heist?" "It's a heist with cupcakes. Presents, cake, and zero security. Perfect." "Last time we hit zero security it was a retirement home and we got stuck in a ball pit." "That was a training exercise. This is different. Kids are loud, parents are distracted, the presents are under a table." "How do we get in?" "We pose as late delivery. I have a box labeled Party Supplies." "And I'm supposed to be the balloon animal guy?" "You're the balloon animal guy. You can sneak in, inflate a distraction, grab gifts." "What if a kid asks for a puppy?" "I'll tell them the puppy is in the presents. Then we run." "Do we have an exit?" "Back door by the pool. I rented a stroller for getaway." "For presents?" "For presents, for me, for plausible deniability. Let's go before I feel guilty." "Fine. But if I get caught I'm telling them you made me do it." "You do that. I'll be the one with the presents."
created_at
"2026-09-03T13:50:11.313Z"
9/3/2026, 1:50:11 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
173
moderation_latency
(null)
generation_time
17676
tokens_prompt
75
tokens_completion
1096
native_tokens_prompt
118
native_tokens_completion
992
native_tokens_completion_images
(null)
native_tokens_reasoning
746
native_tokens_cached
75
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
0.0011071
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443411-KWVCFunZZcUuaPcmdG8Y"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443411-hxiIun2a7GWx2ZYSc7eN"
upstream_id
"req_c0a9180e271b78292c4ae1dd4f0fe92e"
provider_responses
0
endpoint_id
"6244f10e-1e45-488b-a47f-f575e0edd12b"
id
"req_c0a9180e271b78292c4ae1dd4f0fe92e"
is_byok
false
latency
132
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Phala"
status
200
total_cost
0.0011071
cache_discount
0.0000195
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
60.28%
Matches word count
n/a
neededClean
false
words
185
95.64%
Dialogue to Total Word Ratio
Ratio: 94.59%, Deviation: 4.59%
neededClean
false
wordsTotal
185
wordsDialogue
175
77.9583%