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Run: 2026-09-03-01M1KRMJ1G6AG9RD0APEHVHYQE
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
36.4s
Cost:
$0.002514
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
86.38%
Matches word count
(details)
46.19%
Dialogue to Total Word Ratio
(details)
66.2836%
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 taped a glittery invitation to the fridge and stared at it like a blueprint. Bill arrived with a backpack full of plastic crowns and a suspiciously realistic birthday hat. The target was a six-year-old’s unicorn party at three, with a mountain of wrapped presents piled by the snack table. They would pose as late guests, grab the loot, and vanish before the cake. The plan hinged on timing, distraction, and not getting tackled by a sugar-fueled toddler. She checked the map while Bill checked his nerves. Outside the bouncy castle wheezed while a mother shouted for quiet inside the house. "Molly, you’re sure the parents are at the bar?" Bill whispered, adjusting his hat. "Absolutely, the invitation said adults welcome, two drink tickets each," Molly replied, tapping the glitter. "And the presents are actually unwrapped yet?" "No, they’re still wrapped, which makes them easier to carry out fast." "Great, I’ll cause a piñata explosion, you grab the big box." "Fine, but if a kid cries we’re out immediately." "Deal. What’s the code word if we’re spotted by a parent?" "Unicorn farts. Now move before the ice cream melts."
created_at
"2026-09-03T13:51:50.84Z"
9/3/2026, 1:51:50 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
282
moderation_latency
(null)
generation_time
36351
tokens_prompt
75
tokens_completion
2278
native_tokens_prompt
118
native_tokens_completion
2281
native_tokens_completion_images
(null)
native_tokens_reasoning
2012
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
0.00251408
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443510-VPmgCBRvE4Jm4zsLVDQC"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443510-dgSe929cbQT4VQpZzfW0"
upstream_id
"req_76a84370b2155fe8f9055bc0f080e666"
provider_responses
0
endpoint_id
"6244f10e-1e45-488b-a47f-f575e0edd12b"
id
"req_76a84370b2155fe8f9055bc0f080e666"
is_byok
false
latency
239
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Phala"
status
200
total_cost
0.00251408
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
46.19%
Dialogue to Total Word Ratio
Ratio: 40.63%, Deviation: 9.38%
neededClean
false
wordsTotal
192
wordsDialogue
78
66.2836%