Run: 2026-09-03-01M1K4WSA68F4YFSKKY8PVFJC9

Run Details

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

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_id182717
external_user(null)
streamedtrue
cancelledfalse
latency56365
moderation_latency(null)
generation_time57684
tokens_prompt75
tokens_completion317
native_tokens_prompt68
native_tokens_completion4798
native_tokens_completion_images0
native_tokens_reasoning4520
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"
usage0.0204765
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_byokfalse
latency1210
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.0204765
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
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%