Run: 2026-09-03-01M1K5JG6JH44A58GJ48BYCTZ4

Run Details

Duration:
20.3s
Cost:
$0.019516
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 crouched behind the bounce house, clipboard in hand, watching sugar-fueled children swarm the backyard. Bill adjusted his oversized clown wig and sweated profusely under the afternoon sun. The present table wobbled under bright wrapping paper, guarded by a fortress of juice boxes and a suspicious mother. "This is humiliating," Bill whispered. "We steal diamonds, not juice boxes." "Focus," Molly hissed. "There's at least three hundred dollars of presents on that table, untouched." "That table is guarded by a mom with a whistle," Bill muttered. "And those kids bite." Molly grinned. "That's why we dress as entertainment. You distract them with balloon animals while I grab the loot." "What if they want Spider-Man, not a poodle?" Bill asked. "Relax, it's a preschool party, not the Louvre," Molly added. Bill tugged at his red nose, which squeaked ominously every time he breathed too hard through his anxiety. "Do I look trustworthy to children?" he whimpered. "Then you learn fast," Molly said. "Once the cake comes out, chaos erupts. We vanish with the gifts." Bill sighed, inflating a long balloon until it squeaked. "If I get hit with cake, you owe me." Molly patted his shoulder and crept toward the presents silently.
created_at"2026-09-03T08:18:40.471Z" 9/3/2026, 8:18:40 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3585
moderation_latency(null)
generation_time20320
tokens_prompt75
tokens_completion337
native_tokens_prompt68
native_tokens_completion4572
native_tokens_completion_images0
native_tokens_reasoning4250
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"
usage0.019516
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423520-KxtWmjz2fLrhMzPSTJtn"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423520-PZ7qXxeAQs2duawQ1gSl"
upstream_id"resp_6a992d60b9346a6c97874ea8"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992d60b9346a6c97874ea8"
is_byokfalse
latency1372
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.019516
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
wordsTotal202
wordsDialogue101
100.0000%