Run: 2026-09-03-01M1K60VYAG12GT7ZM3TNBDVKX

Run Details

Duration:
27.5s
Cost:
$0.017378
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
"Okay so the Johnson twins birthday starts at noon and every spoiled kid brings huge wrapped presents right?" Molly said. "Right and their parents rent that bouncy castle clown magician setup perfect cover for sneaky thieves like us." Bill replied. "We waltz in wearing clown wigs and mustaches carrying an enormous empty gift box for stuffing loot inside." Molly asked. "Brilliant except I look terrifying as a clown last time kids cried and one bit my ankle hard." Bill answered. "That means your disguise worked nobody suspects a crying scary clown of pocketing Lego sets and chocolate bars." Molly laughed. "Fine but how do we grab everything without six-year-olds screaming thief thief and tackling our wobbly clown knees?" Bill groaned. "Easy we volunteer for present patrol tell parents we will guard the gift table while inhaling cake distraction." Molly whispered. "Oh yeah parents love babysitting suckers and while they chug juice boxes we load bags with action figures." Bill chuckled. "Exactly then at pinata time everyone screams blindfolded mayhem we wheel our giant gift box straight out back." Molly nodded. "What if the birthday twins chase us demanding their Paw Patrol tower back while riding tricycles screaming murder?" Bill sighed.
created_at"2026-09-03T08:26:31.248Z" 9/3/2026, 8:26:31 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2960
moderation_latency(null)
generation_time27516
tokens_prompt75
tokens_completion333
native_tokens_prompt68
native_tokens_completion4069
native_tokens_completion_images0
native_tokens_reasoning3786
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"
usage0.01737825
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423991-ey5f0p7tfl79Sk2qAVPx"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423991-LUIE1FczvdgDSw91qcVe"
upstream_id"resp_6a992f377f0f4b2e582b4308"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992f377f0f4b2e582b4308"
is_byokfalse
latency437
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.01737825
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%