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Run: 2026-09-03-01M1KRPME7MMVQHM9NXWY0J7RH
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
33.5s
Cost:
$0.002262
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
95.82%
Dialogue to Total Word Ratio
(details)
97.9025%
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 the crayon drawing of the backyard across the kitchen table. Bill squinted at it like it was a blueprint for the Pentagon and a ransom note. The kitchen smelled of burnt coffee and bad decisions. "The party is Saturday, three to five, eight kids, one very distracted mom." Bill tapped the pink highlighter marking the trampoline. "Entry point is the back gate. Kids will be too busy screaming to notice us." Molly grinned, adjusting her fuzzy bunny ears. "And the presents are under the oak tree, wrapped like Christmas in July." "We need disguises. I vote for clown." "You vote for getting arrested. I'm thinking lost delivery guy." Bill pulled a cardboard box from under the sink and practiced a nervous smile. "Perfect. I'll carry the presents out in this. Sorry, wrong address." Molly laughed and drew a mustache on his sketch. "And if a kid asks?" "I'll say the presents ran away. Very believable." She checked her watch and the security camera app on her phone. The backyard had no fence, just a decorative plastic flamingo. "Plan's solid. Let's go steal some birthday joy." He stood, box in hand, already sweating through his polyester costume.
created_at
"2026-09-03T13:52:58.83Z"
9/3/2026, 1:52:58 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
270
moderation_latency
(null)
generation_time
33416
tokens_prompt
75
tokens_completion
2077
native_tokens_prompt
118
native_tokens_completion
2052
native_tokens_completion_images
(null)
native_tokens_reasoning
1788
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
0.00226218
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443578-MxNva1EoiG7Wrw5QXUVH"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443578-tllXhawEi90CjZHsgPCv"
upstream_id
"req_657420d20f6bc8ae3f125e51dbd14b42"
provider_responses
0
endpoint_id
"6244f10e-1e45-488b-a47f-f575e0edd12b"
id
"req_657420d20f6bc8ae3f125e51dbd14b42"
is_byok
false
latency
227
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Phala"
status
200
total_cost
0.00226218
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
99.98%
Matches word count
n/a
neededClean
false
words
198
95.82%
Dialogue to Total Word Ratio
Ratio: 45.45%, Deviation: 4.55%
neededClean
false
wordsTotal
198
wordsDialogue
90
97.9025%