Run: 2026-09-03-01M1K4TX92V2DKZZR7J6YXZMPN

Run Details

Duration:
20.0s
Cost:
$0.013379
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.84% Dialogue to Total Word Ratio (details)
99.9201% 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 and Bill crouched behind the bouncy castle watching the clown. "We do this quick, Bill. In and out before cake." "Quick? Molly, there are twenty kids hopped up on sugar and juice." "Perfect distraction. Parents are too busy stopping them from dying." "And the presents? They're all Paw Patrol and slime." "Slime sells, Bill. Plus that one big box is definitely a bike." "How do we get past the birthday mom? She looks lethal." "We dress as entertainers. You be the magician." "I hate kids. They see through my rabbit trick." "You'll be fine. Just pull the bike out of your hat." "What if they cry?" "Then we cry too and steal faster." "Okay, plan: you distract clown, I grab gifts, we run." "Why do I always distract the scary clown?" "Because you're great with scary people. Remember the bank guard?" "That was different. He wasn't wearing giant shoes and honking." "Trust me, this is easier. Kids love magic until you steal their loot." "What about the parents filming everything?" "We smile, wave, then vanish like responsible adults." "Fine. But I want the bike." "You can have the bike if I get the slime." He sighed, adjusting his mustache.
created_at"2026-09-03T08:05:47.433Z" 9/3/2026, 8:05:47 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2913
moderation_latency(null)
generation_time19990
tokens_prompt75
tokens_completion310
native_tokens_prompt68
native_tokens_completion3128
native_tokens_completion_images0
native_tokens_reasoning2831
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"auto"
usage0.013379
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788422747-1qP29naHBQCVRNyDqioY"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788422747-6uAAhqbST7R2zY2psAYw"
upstream_id"resp_6a992a5b327b9e1e22264a6f"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992a5b327b9e1e22264a6f"
is_byokfalse
latency361
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.013379
cache_discount(null)
upstream_inference_cost0
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
neededCleanfalse
words200
99.84% Dialogue to Total Word Ratio
Ratio: 92.00%, Deviation: 2.00%
neededCleanfalse
wordsTotal200
wordsDialogue184
99.9201%