Run: 2026-09-03-01M1K5TP68CB3G2Q98S0VXKS7Y

Run Details

Duration:
16.7s
Cost:
$0.021581
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 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, this is a new low even for us," Bill whispered. "Oh please, have you seen the price of Legos lately?" Molly replied. "Yeah but they're guarded by like ten screaming sugar-high kids and one angry clown," Bill said. "That's why the clown outfit is perfect. They'll never suspect the clown," Molly said. "You want me to dress as a clown? I hate clowns. They hate me," Bill muttered. "You owe me after the aquarium job. You dropped the penguin," Molly snapped. "I did not drop him, he slipped! Look, can't we just rob a bank like normal thieves?" Bill pleaded. "Banks have lasers. This house has a bouncy castle. This is easier," Molly insisted. "Until little Timmy sees us stuffing his presents into a sack," Bill said. "Then we offer him a balloon animal and run. Simple, fast, and nobody cries except maybe you," "Deal. Just try not to scare the kids before we get the loot," "Me scare them? You're the one who pops balloons for fun, you absolute balloon-popping maniac," "Let's go steal that bouncy castle too while we're at it." "Fine. But if I have to make balloon animals I'm demanding half the Legos," Bill sighed.
created_at"2026-09-03T08:23:08.75Z" 9/3/2026, 8:23:08 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2856
moderation_latency(null)
generation_time16674
tokens_prompt75
tokens_completion313
native_tokens_prompt68
native_tokens_completion5058
native_tokens_completion_images0
native_tokens_reasoning4753
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"
usage0.0215815
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423788-IvsBplCGNcVkRb2xmQLy"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423788-H8O1a1RZsXRpxb5BFr5Y"
upstream_id"resp_6a992e6c3466d3cbdc7a4ff4"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992e6c3466d3cbdc7a4ff4"
is_byokfalse
latency268
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.0215815
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: 90.10%, Deviation: 0.10%
neededCleanfalse
wordsTotal202
wordsDialogue182
100.0000%