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Run: 2026-09-03-01M1KRRVYN67EEQNT605D2MBK7
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
40.4s
Cost:
$0.002659
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.48%
Dialogue to Total Word Ratio
(details)
99.7416%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 blueprint of the cul-de-sac across the kitchen table, weighting it down with a half-eaten cupcake. The target was seven-year-old Timmy's birthday, Saturday, three o'clock, inflatable castle, sugar high, perfect distraction. Bill adjusted his novelty mustache and studied the fence. The presents would be stacked in the living room by the window, unguarded while parents refilled punch and refereed a game of musical chairs. Entry via the doggy door, exit through the hedge with the stolen loot in a duffel bag labeled Party Supplies. She checked the disguises, a clown wig and a piƱata costume, both suspiciously authentic. He tested the grappling hook made from a pool noodle and duct tape. The plan hinged on timing and not stepping on any plastic animals. Molly whispered the final step. Bill nodded, already rehearsing his sob story about being a lost balloon vendor. She tapped the map where the cake table sat. He promised to handle the glitter bomb distraction while she slipped inside. The children would scream with joy, not suspicion. Molly said 'We need balloons for cover.' Bill replied 'And a better alibi than that.' Molly said 'Fine, but no singing and absolutely no cake ever.' Perfect plan.
created_at
"2026-09-03T13:54:12.729Z"
9/3/2026, 1:54:12 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
186
moderation_latency
(null)
generation_time
39362
tokens_prompt
75
tokens_completion
2458
native_tokens_prompt
118
native_tokens_completion
2403
native_tokens_completion_images
(null)
native_tokens_reasoning
2132
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
0.0026592
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443653-g5FgeWOelAemrqwj0mOp"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443653-Zrj7hdPAOBKLbOn0QecR"
upstream_id
"req_7c5814179f904c91f3aea2afccad022b"
provider_responses
0
endpoint_id
"6244f10e-1e45-488b-a47f-f575e0edd12b"
id
"req_7c5814179f904c91f3aea2afccad022b"
is_byok
false
latency
152
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Phala"
status
200
total_cost
0.0026592
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
100.00%
Matches word count
n/a
neededClean
false
words
200
99.48%
Dialogue to Total Word Ratio
Ratio: 12.68%, Deviation: 2.68%
neededClean
false
wordsTotal
205
wordsDialogue
26
99.7416%