Run: 2026-07-25-01KYD6ZX4Y72G7Y8X1GB8P31NK

Run Details

Duration:
13.1s
Cost:
$0.009542
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 blueprints across the getaway van's dashboard, which was mostly sticky with old juice boxes. The target was Timmy Henderson's seventh birthday party, a bounce house fortress guarded by exhausted parents and a clown who looked ready to quit. Bill adjusted his oversized clown nose, already sweating through his rainbow wig. The plan was simple: infiltrate as entertainers, distract with balloon animals, and exfiltrate with the mountain of presents stacked by the cake table. "We are not stealing toys from toddlers again, Bill." Her whisper was sharp, slicing through his nervous honking. He deflated slightly, his balloon poodle popping. "Last time was different, those building blocks were valuable." He tried to salvage the scheme with a chart showing retail prices of action figures. Molly pointed at the security detail: two moms armed with fruit snacks and judgment. Entry would require actual balloon skills and tolerance for screaming. Bill practiced twisting. His giraffe looked like a sad hot dog. "Trust me." He grinned, and the nose squeaked. Their escape route relied on the bouncy castle exit and a wagon previously stolen from another party down the street. Molly sighed, folded the blueprints, and questioned all her life choices deeply.
created_at"2026-07-25T18:00:56.23Z" 7/25/2026, 6:00:56 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency11944
moderation_latency(null)
generation_time12987
tokens_prompt75
tokens_completion324
native_tokens_prompt225
native_tokens_completion2179
native_tokens_completion_images0
native_tokens_reasoning1914
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"
usage0.009542
router(null)
provider_responses
0
endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f9d874c209ce88fe44d9"
is_byokfalse
latency220
model_permaslug"meta/muse-spark-1.1-20260709"
provider_name"Meta"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785002456-HX8oPPEgQGbClRo6yqo1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785002456-BntnnyUUmX7XMSLUPSeY"
upstream_id"resp_6a64f9d874c209ce88fe44d9"
total_cost0.009542
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

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%