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Run: 2026-09-03-01M1KRNXVM9Q5VBM6FSZXS5ND2
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
24.6s
Cost:
$0.001654
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
86.38%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
43.1902%
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 spread the party invitation on the table. Bill picked up a plastic dinosaur. Molly: Okay, so it's a five-year-old's birthday, backyard, three parents max, and a mountain of presents by the trampoline. Bill: Perfect. Kids don't lock doors, they lock emotions. Presents are unguarded. Molly: The brief says in and out in four minutes before the cake. Bill: Four minutes is plenty if we don't get distracted by the pinata. Molly: No pinata. Focus. You grab the good stuff from the table, I handle the goodie bags. Bill: Goodie bags are theft too, Molly. Molly: It's a heist, Bill, not a charity drive. We take everything. Bill: What about the kid? Molly: We leave a note. "Sorry, the presents ran away." Bill: That's creepy. Molly: It's branding. You bring the grappling hook. Bill: It's a two-foot fence, Molly. Molly: Then bring your legs. Ten o'clock. Don't wear a mask, wear a clown wig. Trust me. Bill: Fine but if a child cries I'm blaming you. Molly: Deal. And if we get caught, we tell them it was for a good cause. Bill: What cause? Molly: Our retirement fund.
created_at
"2026-09-03T13:52:35.712Z"
9/3/2026, 1:52:35 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
276
moderation_latency
(null)
generation_time
24497
tokens_prompt
75
tokens_completion
1482
native_tokens_prompt
118
native_tokens_completion
1499
native_tokens_completion_images
(null)
native_tokens_reasoning
1217
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
0.00165388
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443555-u67lj1ustbFstYnibcSE"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443555-vPRskaiXa4LQRtDSDDS4"
upstream_id
"req_ce51541932d0caa77185873488d6d50a"
provider_responses
0
endpoint_id
"6244f10e-1e45-488b-a47f-f575e0edd12b"
id
"req_ce51541932d0caa77185873488d6d50a"
is_byok
false
latency
237
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Phala"
status
200
total_cost
0.00165388
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
86.38%
Matches word count
n/a
neededClean
false
words
189
0.00%
Dialogue to Total Word Ratio
Ratio: 2.60%, Deviation: 87.40%
neededClean
false
wordsTotal
192
wordsDialogue
5
43.1902%