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Run: 2026-09-03-01M1K4WSA68F4YFSKKY8PVFJC9
Run Details
Model:
Muse Spark 1.3 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
57.7s
Cost:
$0.020477
Provider:
Meta
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 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 spread the cramped apartment floor with party maps and scowled at Bill. "We cannot just walk in and grab everything." Bill adjusted an oversized rainbow wig and grinned foolishly. "Relax Molly, I brought clown costumes and fake smiles." Outside, distant children screamed with sugar fueled excitement. "You look terrifying, not festive, you will scare the children." She whispered anxiously while checking the getaway route twice. "Perfect, while they cry we load presents into the van." He laughed loudly and juggled three stolen water balloons clumsily. "What about the parents, the cake, and the bouncy castle guards?" They studied the backyard fence, the dog, and the balloon arch entrance carefully. "Distract them with magic tricks then steal the birthday loot fast." Molly sighed deeply, imagining disappointed faces and empty tables tomorrow morning. "This is low, even for us, stealing toys from seven year olds." Bill nodded solemnly and offered her a squeaky red nose for courage. "Hey, Legos are expensive and resale values are absolutely fantastic right now." She accepted it reluctantly as sirens wailed far away in the night. "Fine, but I get the goodie bags and you handle angry clowns today Bill please promise me." Operation birthday commenced.
created_at
"2026-09-03T08:06:48.909Z"
9/3/2026, 8:06:48 AM
model
"meta/muse-spark-1.3-20260902"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
56365
moderation_latency
(null)
generation_time
57684
tokens_prompt
75
tokens_completion
317
native_tokens_prompt
68
native_tokens_completion
4798
native_tokens_completion_images
0
native_tokens_reasoning
4520
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
"completed"
service_tier
"auto"
usage
0.0204765
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788422808-ZUN8Bg2XgZOMCsg8YGe7"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788422808-ic9YuvKKbHewMDTWriu5"
upstream_id
"resp_6a992a991b6ca654125b4492"
provider_responses
0
endpoint_id
"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id
"resp_6a992a991b6ca654125b4492"
is_byok
false
latency
1210
model_permaslug
"meta/muse-spark-1.3-20260902"
provider_name
"Meta"
status
200
total_cost
0.0204765
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Meta"
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: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%