Run: 2026-11-11-01M7540SFE8EFBJ781NXJBMJJY

Run Details

Duration:
5.7s
Cost:
$0.001875
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 and Bill hid behind the garden shed, watching balloons bob above the fence while birthday cake candles flickered in the distance. They had studied the party for hours, noting the treasure table stacked high with wrapped boxes, stuffed animals, and glossy toys no child could possibly need all at once. Bill adjusted his fake mustache and practiced looking innocent, which mostly involved blinking slowly and smiling at nearby adults. Molly checked her watch, doodled a map on a napkin, and marked escape routes through the flowerbeds, past the sandbox, and around the enormous inflatable dinosaur that terrified the dog. They agreed the plan was flawless, except for the clown, the magician, the piƱata, and approximately forty children armed with cake and suspicion. Molly whispered, "We wait until the clown distracts everyone." Bill replied, "Then we grab every present quietly and tiptoe out." Molly said, "Perfect, begin tonight, Bill." Bill nodded, until the music stopped suddenly and every child stared toward the gate, because the principal had arrived carrying a leaf blower and unfortunately, her own nephew's birthday hat. Meanwhile, Bill balanced three juice boxes on his head while Molly rehearsed a cheerful song about sharing and leaving presents alone.
created_at"2026-11-11T10:56:20.468Z" 11/11/2026, 10:56:20 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1962
moderation_latency(null)
generation_time5636
tokens_prompt75
tokens_completion440
native_tokens_prompt69
native_tokens_completion3736
native_tokens_completion_images0
native_tokens_reasoning3376
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"
usage0.0018749
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394580-436NKQSTeB7YmhMRV82X"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394580-g8uu4XluWIrZdwybBtGn"
upstream_id"resp_6af449d5697619a4beb34f27"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af449d5697619a4beb34f27"
is_byokfalse
latency816
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0018749
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%