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Run: 2026-09-03-01M1K5KXT4Z7RSM988EDQHYAZZ
Run Details
Model:
Muse Spark 1.3 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
41.3s
Cost:
$0.017365
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 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 studied the suburban house with professional disappointment and criminal hunger. Bright balloons bobbed over a fence plastered with cartoon dinosaurs. Bill crouched beside the van, wrestling a squeaky clown costume over his knees. She pointed toward the backyard, where a towering pile of wrapped presents gleamed beside the cake table. They had cased three banks and one museum, yet this birthday fortress felt dangerous. She whispered, "We strike at noon sharp today." He shuddered, adjusting his red nose, watching toddlers swarm like tiny screaming seagulls. He muttered, "I fear small kids entirely." Molly slapped a party hat on his head and handed him an empty gift bag. Their plan was simple: infiltrate, smile, loot. Distract the clown, befriend the parents, vanish with loot. She grinned, "Grab gifts quickly then run laughing." Bill stared at screaming children, sticky frosting, chaotic games. He sighed, "I hate clowns." Molly ignored his cowardice and checked her watch as music started inside. At noon the gate would open for the pony ride delivery they had faked. Bill would juggle badly while she backed the van close. Every glittery present would soon fund their retirement in Florida sunshine forever. Neither thief feared glittery chaos now.
created_at
"2026-09-03T08:19:27.182Z"
9/3/2026, 8:19:27 AM
model
"meta/muse-spark-1.3-20260902"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4263
moderation_latency
(null)
generation_time
41231
tokens_prompt
75
tokens_completion
395
native_tokens_prompt
68
native_tokens_completion
4066
native_tokens_completion_images
0
native_tokens_reasoning
3707
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
0.0173655
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788423567-lHHtcRswPoxGJzNW9MWB"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788423567-7EtJ4Xmqy0VqQBVcyrr6"
upstream_id
"resp_6a992d8ff50c5d93c9184670"
provider_responses
0
endpoint_id
"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id
"resp_6a992d8ff50c5d93c9184670"
is_byok
false
latency
507
model_permaslug
"meta/muse-spark-1.3-20260902"
provider_name
"Meta"
status
200
total_cost
0.0173655
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: 10.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
20
100.0000%