Run: 2026-09-03-01M1K5KXT4Z7RSM988EDQHYAZZ

Run Details

Duration:
41.3s
Cost:
$0.017365
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 studied the suburban house with professional disappointment and criminal hunger. Bright balloons bobbed over a fence plastered with cartoon dinosaurs. Bill crouched beside the van, wrestling a squeaky clown costume over his knees. She pointed toward the backyard, where a towering pile of wrapped presents gleamed beside the cake table. They had cased three banks and one museum, yet this birthday fortress felt dangerous. She whispered, "We strike at noon sharp today." He shuddered, adjusting his red nose, watching toddlers swarm like tiny screaming seagulls. He muttered, "I fear small kids entirely." Molly slapped a party hat on his head and handed him an empty gift bag. Their plan was simple: infiltrate, smile, loot. Distract the clown, befriend the parents, vanish with loot. She grinned, "Grab gifts quickly then run laughing." Bill stared at screaming children, sticky frosting, chaotic games. He sighed, "I hate clowns." Molly ignored his cowardice and checked her watch as music started inside. At noon the gate would open for the pony ride delivery they had faked. Bill would juggle badly while she backed the van close. Every glittery present would soon fund their retirement in Florida sunshine forever. Neither thief feared glittery chaos now.
created_at"2026-09-03T08:19:27.182Z" 9/3/2026, 8:19:27 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4263
moderation_latency(null)
generation_time41231
tokens_prompt75
tokens_completion395
native_tokens_prompt68
native_tokens_completion4066
native_tokens_completion_images0
native_tokens_reasoning3707
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"
usage0.0173655
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423567-lHHtcRswPoxGJzNW9MWB"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423567-7EtJ4Xmqy0VqQBVcyrr6"
upstream_id"resp_6a992d8ff50c5d93c9184670"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992d8ff50c5d93c9184670"
is_byokfalse
latency507
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.0173655
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%