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Run: 2026-07-25-01KYD679F197XYGRWAEX9V055F
Run Details
Model:
Muse Spark 1.1 (Reasoning, Minimal)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
15.3s
Cost:
$0.011157
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
99.9997%
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 pressed her binoculars against the van window, watching the bouncing castle wheeze. "We need a better plan than last time," she said. Bill unwrapped a juice box with his teeth. "Last time worked fine until the clown cried," he said. "That was a federal agent disguised as a clown," Molly hissed. "Still cried a lot," Bill said. Molly pointed at the pile of presents on the picnic table, wrapped in dinosaurs and glitter. "There are at least twenty gifts there, all untouched, all expensive," she whispered. "So we walk in as entertainers?" Bill asked. "Exactly, you are Mr. Balloon and I am Mrs. Cake," Molly said. "I hate balloons," Bill groaned. "You love larceny more," Molly said. Bill stared at the yard full of screaming six-year-olds. "Do we really have to steal from kids?" he asked. "Bills, the adult kind," Molly said. "Fifty percent cut if I have to wear face paint," Bill said. "Deal, now inflate your ego and your balloons," Molly said. The sprinkler sputtered, soaking a unicorn piƱata that glared judgmentally at their suspiciously unmarked white van. Bill sighed, already tangling himself in colorful latex. "Let's steal childhood joy efficiently today, partner," Molly said together now.
created_at
"2026-07-25T17:47:29.642Z"
7/25/2026, 5:47:29 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
14022
moderation_latency
(null)
generation_time
15143
tokens_prompt
75
tokens_completion
308
native_tokens_prompt
225
native_tokens_completion
2559
native_tokens_completion_images
0
native_tokens_reasoning
2268
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
0.011157
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f6b1bdd9403d60e04099"
is_byok
false
latency
299
model_permaslug
"meta/muse-spark-1.1-20260709"
provider_name
"Meta"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1785001649-HJQ4bMbtLvc2n7aKp4Nl"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785001649-Ke6dzm0pHLDvXec8gNmE"
upstream_id
"resp_6a64f6b1bdd9403d60e04099"
total_cost
0.011157
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Meta"
response_cache_source_id
(null)
data_region
"global"
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: 49.50%, Deviation: 0.50%
neededClean
false
wordsTotal
202
wordsDialogue
100
99.9997%