Run: 2026-10-13-01M4TAPRGMRQXZ97BBAAD1MMP9

Run Details

Duration:
13.7s
Cost:
$0.044192
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 garden hedge, watching balloons bob above the fence while children screamed, chased bubbles, and devoured cake inside the sunny yard. Bill adjusted his ridiculous clown wig and checked his watch twice. "The party ends at three, so we slip inside at two forty five." Molly shook her head and pointed toward the gift table stacked high. "No, we wait until the magician starts, because nobody watches doors during tricks." He grinned, revealing fake teeth, then pulled two enormous sacks from beneath the bushes. "I brought sacks, stickers, tape, and a getaway scooter painted bright pink outside." Molly stared at him, horrified. "Bill, a pink scooter screams suspicious, especially when presents spill everywhere across the street." He shrugged and offered her a party hat for disguise. "Fine, wear this hat, grab the biggest boxes first, and ignore the noisy toys completely." She snatched the hat, jammed it on, and peered through the gate again. Inside, the magician announced his final trick loudly. "When the rabbit appears, you grab gifts, I block the doorway smiling and waving very innocently." "Perfect, and if anyone asks, we are professional present inspectors hired by extremely concerned birthday parents." Both nodded silently.
created_at"2026-10-13T09:50:09.439Z" 10/13/2026, 9:50:09 AM
model"meta/muse-wonder-20261012"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1727
moderation_latency(null)
generation_time13677
tokens_prompt75
tokens_completion392
native_tokens_prompt68
native_tokens_completion2196
native_tokens_completion_images0
native_tokens_reasoning1854
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"
usage0.044192
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791885009-pBIM5DZftTsJPc358m1M"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791885009-jGdl1yaWX0skaW2fOHQg"
upstream_id"resp_6acdfed1932a3328051c49a6"
provider_responses
0
endpoint_id"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id"resp_6acdfed1932a3328051c49a6"
is_byokfalse
latency803
model_permaslug"meta/muse-wonder-20261012"
provider_name"Meta"
status200
total_cost0.044192
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
wordsTotal200
wordsDialogue100
100.0000%