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Run: 2026-09-03-01M1KRQTVVYR0TQ1W43YSMW4FD
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
58.4s
Cost:
$0.005402
Provider:
Fireworks
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
0.0000%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 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
The kitchen smelled of burnt coffee and cheap laundry detergent. Molly spread a flyer across the table. It was a birthday invitation for Timmy Wu, age six, with a glittery unicorn and the words Please Come, We'll Have Cake in Comic Sans. Bill arrived in a tracksuit that had seen three separate heists and one divorce. He peered over her shoulder and whistled. The house was a cul-de-sac with no fence, a glass front door, and a mother who looked like she ran a PTA meeting like a military operation. Bill said: You want to steal from a six year old. Molly said: I want to steal from a six year old with a budget. Bill said: It's a children's party. Molly said: It's a children's party with an Amazon Prime delivery schedule and a mother who buys in bulk. Bill said: The presents are in the living room. Molly said: The presents are under the table, behind the bouncy castle, and in three different rooms because Timmy invited half the kindergarten. Bill said: We will get caught by a sugar high. Molly said: We will get caught by a mother with a glue gun and a camera phone. Bill said: What's the plan. Molly said: We arrive as clowns. Bill said: You hate makeup. Molly said: I hate getting caught more. She pulled out a pair of oversized shoes, red noses, and a laminated badge that read Party Entertainer. Bill stared at the badge like it had personally offended him. Bill said: You are going to walk in and take a LEGO set in front of six year olds. Molly said: No, we arrive at cake time, create a distraction with the pinata, and you load the presents into the clown car. Bill said: The clown car is a Honda Civic. Molly said: The Honda Civic has a trunk. Bill said: And a mother. Molly said: And a mother who will be busy chasing a child who just got glitter in his mouth. He sighed and picked up a squeaky horn. The flyer fluttered. Outside, a sprinkler ticked on. Bill said: Fine. But if Timmy cries, we are donating the presents back. Molly said: Deal. And if he cries, we tell him Santa was late. Molly zipped the clown costume into a duffel bag and checked her watch. The party started in forty minutes. The plan was stupid, which meant it might work. Bill said: You forgot the fake mustache. Molly said: The mustache is the distraction. Bill said: I will drive slow past the house first. Molly said: You will drive slow after we have the presents. Bill opened the trunk to reveal a pile of black garbage bags, a dolly, and a spare pair of adult shoes for quick changes. He looked at her with the tired affection of a man who had already accepted a life of petty larceny. Molly said: Ready? Bill said: As ready as a man in a wig is ever going to be. Molly said: Then let's go rob a birthday. Bill slammed the trunk and the squeaky horn honked once. Molly said: If anyone asks, we are the balloon animals. Bill said: I hate balloons. Molly said: You will love the ones we are taking. The Civic pulled out of the driveway, past the sprinkler and the flyer still on the table. The evening smelled like sugar and poor decisions.
created_at
"2026-09-03T13:53:38.177Z"
9/3/2026, 1:53:38 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
109
moderation_latency
(null)
generation_time
58354
tokens_prompt
75
tokens_completion
3287
native_tokens_prompt
117
native_tokens_completion
3597
native_tokens_completion_images
(null)
native_tokens_reasoning
2518
native_tokens_cached
112
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
0.00540173
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443618-TZLmqdJIBdUXGdzLCwBX"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443618-Slo0mvsmgJYQDBkt0uvo"
upstream_id
"chatcmpl-chatcmpl-ec513b282fb34ba8ac498a760ffe31a7"
provider_responses
0
endpoint_id
"38b85376-97ef-4ae3-b2f4-b23ca1ee2495"
id
"chatcmpl-chatcmpl-ec513b282fb34ba8ac498a760ffe31a7"
is_byok
false
latency
18
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Fireworks"
status
200
total_cost
0.00540173
cache_discount
0.00003472
upstream_inference_cost
0
provider_name
"Fireworks"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
569
0.00%
Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 50.00%
neededClean
false
wordsTotal
571
wordsDialogue
0
0.0000%