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Run: 2026-09-03-01M1KRA4G5GYM4W9S04DSDAGBZ
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
55.1s
Cost:
$0.003050
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
100.0000%
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 community center across a pizza box while Bill polished his inflatable unicorn costume. The children's birthday party was in forty minutes and the presents were already stacked by the snack table like a low-risk vault. She had cased the place three times that week, noting the one security guard who fell asleep during story time and the parents who were too distracted by sugar crashes to notice anything missing. Bill was convinced the unicorn would get them past the bouncer of toddlers without question. She was convinced he would be laughed out of the room. The plan was simple, enter during the piñata swing, grab the loot, exit through the kitchen where the janitor kept the back door propped open for deliveries. It required timing, a good alibi, and zero crumbs on their shoes. Molly checked her watch and tapped the map. Bill adjusted his horn and grinned like a man who had never been caught. Molly whispered "We go in during piñata, grab presents, leave before cake." Bill frowned and asked "What if the unicorn deflates?" She shrugged. "Then we blame clowns." He sighed "Fine." The unicorn squeaked ominously in weary quiet agreement.
created_at
"2026-09-03T13:46:09.292Z"
9/3/2026, 1:46:09 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
293
moderation_latency
(null)
generation_time
55115
tokens_prompt
75
tokens_completion
2512
native_tokens_prompt
117
native_tokens_completion
2512
native_tokens_completion_images
(null)
native_tokens_reasoning
2216
native_tokens_cached
0
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
0.0030495
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443169-6lZNrQaXrfoS7erXCOhE"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443169-qYmVwswkhqaI8vY5KHLo"
upstream_id
"chatcmpl-RwMVUfYtmx4hDl0eDG21S4ea"
provider_responses
0
endpoint_id
"a9912acb-568e-4147-8ed3-5d20aea22135"
id
"chatcmpl-RwMVUfYtmx4hDl0eDG21S4ea"
is_byok
false
latency
52
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"DeepInfra"
status
200
total_cost
0.0030495
cache_discount
(null)
upstream_inference_cost
0
provider_name
"DeepInfra"
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
100.00%
Dialogue to Total Word Ratio
Ratio: 9.95%, Deviation: 0.05%
neededClean
false
wordsTotal
201
wordsDialogue
20
100.0000%