Run: 2026-07-25-01KYD5KAD1XNVF733X3E9K2C9Z

Run Details

Duration:
8.1s
Cost:
$0.004650
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
51.96% Dialogue to Total Word Ratio (details)
75.9736% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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

AI
"Molly, you said big score. You didn't say Peppa Pig themed," Bill hissed. "Focus, Bill. There's twenty kids. Twenty presents. Do the math." "That's like a hundred bucks in Paw Patrol trucks?" "Try two thousand in untouched toys we flip on eBay. It's genius." "Is it? Or is it morally bankrupt? Mrs. Henderson will cry. Little Timmy will cry." "Timmy cries when someone breathes near him. He'll live." "What's the plan? We can't just walk past a clown and a bouncy castle." "We wear the clown costumes. We infiltrate. We say the presents need sanitizing for balloon safety." "Oh brilliant. Hi kids, I'm Grumbles the felonious clown. Hand over Spider-Man." "Exactly. You distract with balloon animals. I grab the loot sack." "What if they want swords and I only know how to make existential dread?" "Then make existential dread, Bill. Make it long and twisty." "Remind me why we aren't robbing a bank like normal thieves?" "Because banks have cameras, guards, and vaults. This backyard has a piƱata and terrible parental supervision." "Okay, but if we get caught by a mom with a juice box, I'm blaming you." "Deal. If we get caught, I'll cry louder than Timmy."
created_at"2026-07-25T17:36:35.24Z" 7/25/2026, 5:36:35 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
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cancelledfalse
latency6432
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generation_time8011
tokens_prompt75
tokens_completion294
native_tokens_prompt225
native_tokens_completion1028
native_tokens_completion_images0
native_tokens_reasoning735
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"auto"
usage0.00465025
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f423006960a4c33343bf"
is_byokfalse
latency284
model_permaslug"meta/muse-spark-1.1-20260709"
provider_name"Meta"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785000995-CzRnjvp25kCmooms71XD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785000995-GofXiIOcDxGXYAdKfmR2"
upstream_id"resp_6a64f423006960a4c33343bf"
total_cost0.00465025
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words198
51.96% Dialogue to Total Word Ratio
Ratio: 98.99%, Deviation: 8.99%
neededCleanfalse
wordsTotal199
wordsDialogue197
75.9736%