Run: 2026-09-03-01M1K618BBTK8K55893GMG8QGN

Run Details

Duration:
38.3s
Cost:
$0.011794
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 10% 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 hand drawn map across the hood of their dented van while Bill polished a balloon animal pump like a safecracker tool. The Johnson backyard birthday raged beyond the fence with sugared chaos and shrieking seven year olds guarding a mountain of bright presents. Molly whispered, "We strike during cake when kids scream loudest" Bill nodded and adjusted his ridiculous clown disguise with squeaky shoes and rainbow wig slipping sideways. He studied the side gate where harried parents ferried juice boxes and ignored suspicious adults completely. The plan required perfect timing stealth and shameless greed wrapped in party hats. Bill answered, "Good then I bag Legos while you watch door" Molly rolled her eyes and pointed at the gift table stacked with robots trucks and glitter wrapped mysteries. A terrier in a party hat patrolled like hired security growling at floating balloons. They synchronized cheap watches and practiced innocent smiles for suspicious mothers. Molly smirked, "Deal boss now" Thunder threatened but sugar rush covered every creak and whisper. Success smelled like frosting and plastic packaging waiting to be ripped open far away. Bill chuckled nervously imagining furious toddlers chasing them down the sunny suburban street screaming betrayal loudly.
created_at"2026-09-03T08:26:43.954Z" 9/3/2026, 8:26:43 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3404
moderation_latency(null)
generation_time38302
tokens_prompt75
tokens_completion340
native_tokens_prompt68
native_tokens_completion2755
native_tokens_completion_images0
native_tokens_reasoning2481
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"
usage0.01179375
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788424003-FlI40Gy3dKpSE9n4RymY"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788424003-NoK5KGRJbDlwCurtX95o"
upstream_id"resp_6a992f44a6aebe36bd224cd0"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992f44a6aebe36bd224cd0"
is_byokfalse
latency530
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.01179375
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: 10.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue20
100.0000%