Run: 2026-11-11-01M754HGSZ4AC93RHX1TQWVDE3

Run Details

Duration:
10.0s
Cost:
$0.003397
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 a hedge outside Number Nine in a balaclava, a tutu, and absolutely no shame whatsoever. Molly whispered, "Bill, the coast is clear, but the bouncy castle guy is eating cake like it's a hostage negotiator during a very serious negotiation, honestly." Bill adjusted his scrunchie moustache and nodded seriously at the pink balloons bobbing gently overhead. Bill hissed, "Perfect. We distract the adults with my amazing karaoke, then snatch every present before the magician returns and notices anything missing at all." Molly checked her watch, which ticked loudly enough to wake neighbours and possibly the increasingly suspicious birthday boy. Molly said, "Your karaoke got us banned from a wedding, a funeral, and one very confused library." Bill grinned proudly, producing a coat-hanger grappling hook from nowhere at all. Bill replied, "Then tonight, Molly, we finally use my skills for good. Or at least for toys and expensive chocolate." On cue, the backyard door swung open and thirty children screamed in delight as a mountain of wrapped presents appeared. Molly whispered, "On three, we tiptoe in, grab everything shiny, and run like very naughty elves." Bill took a deep breath and whispered, "One, two, three. Huzzah for presents!"
created_at"2026-11-11T11:05:28.652Z" 11/11/2026, 11:05:28 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1523
moderation_latency(null)
generation_time10011
tokens_prompt75
tokens_completion336
native_tokens_prompt69
native_tokens_completion6780
native_tokens_completion_images0
native_tokens_reasoning6483
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"default"
usage0.0033969
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794395128-S9wB9MryvCvYs6BDhPfJ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794395128-Vr5RWvUkPcDGkxqhiyTp"
upstream_id"resp_6af44bf9bf432c9efe92420a"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af44bf9bf432c9efe92420a"
is_byokfalse
latency749
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0033969
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: 49.75%, Deviation: 0.25%
neededCleanfalse
wordsTotal201
wordsDialogue100
100.0000%