Run: 2026-09-03-01M1K5QMJ9TETND13NYA8Q2H4D

Run Details

Duration:
25.4s
Cost:
$0.023783
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 and Bill crouched behind the garden fence watching the bouncy castle wheeze. "Bill, we cannot just walk through the front door carrying empty sacks at a children's party." Bright presents towered beside the juice boxes, untouched. Bill adjusted his fake moustache while Molly checked the getaway wagon, a rusted tricycle with a squeaky wheel. "We will dress as entertainers. I own a terrible balloon dog and a vanishing cape." The birthday music thumped loudly as children screamed happily around the clown. "Your balloon animals look like sad potatoes and your cape smells like onions." "The kids will be distracted by cake. We grab presents, stuff them in the cape, and vanish." They rehearsed their plan quickly, whispering over the fence while eyeing the shimmering pile. "What if parents notice two adults stealing dinosaur wrapping paper and action figures?" "We act natural. Smile, say happy birthday, then sprint like we stole the birthday itself." Time was short before the cake ceremony began. Neither thief wanted to be outshone by a six year old with frosting on his face. "Fine, but if I must twist balloons, you carry the loot." Nevertheless they nodded, inhaled deeply, and prepared to perform together finally.
created_at"2026-09-03T08:21:28.783Z" 9/3/2026, 8:21:28 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency24857
moderation_latency(null)
generation_time25381
tokens_prompt75
tokens_completion308
native_tokens_prompt68
native_tokens_completion5576
native_tokens_completion_images0
native_tokens_reasoning5305
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"
usage0.023783
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423688-A4tsh2mB1sOL4Zq6OMWk"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423688-wDdBOuClwMaklBBqXoHZ"
upstream_id"resp_6a992e09d00f582498604aa9"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992e09d00f582498604aa9"
is_byokfalse
latency471
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.023783
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%