Run: 2026-07-01-01KWEACA33NEDRF3DZ528H17VM

Run Details

Duration:
9.6s
Cost:
$0.004556
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
93.65% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
46.8248% 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
The warehouse smelled like stale popcorn and desperation, which suited Bill just fine since those were basically his two personality traits. He spread the blueprints across a card table wobbling on three good legs, jabbing a finger at a crudely drawn bounce house. "This is where we breach," he said, tapping the paper like a general planning D-Day. Molly stared at him over her reading glasses. "It's a birthday party, Bill. For seven-year-olds." "Seven-year-olds with premium security. You seen the amount of Paw Patrol merchandise going into that house? That's a small fortune in molded plastic." She couldn't argue with the math. Word on the street—specifically from Bill's cousin who did birthday clowning—was that little Tyler's grandparents had gone berserk at Toys R Us. Forty presents, minimum. Easy money if they could get past the real threat: forty sugar-crazed children and one suspicious mother named Karen. "We go in disguised," Molly said, holding up two rental costumes. "You're the balloon guy." Bill looked at the costume, then at her. "Why do I have to be the balloon guy?" "Because I called dibs on face painting first." He sighed, already regretting every choice that led him here, wrestling with helium tanks for a bag of stolen LEGO sets.
created_at"2026-07-01T07:47:59.211Z" 7/1/2026, 7:47:59 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1762
moderation_latency(null)
generation_time9531
tokens_prompt77
tokens_completion331
native_tokens_prompt93
native_tokens_completion437
native_tokens_completion_images(null)
native_tokens_reasoning0
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"end_turn"
service_tier"default"
usage0.004556
router(null)
provider_responses
0
endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_014deAUrMLKMgjuYjdPHhrrK"
is_byokfalse
latency1756
model_permaslug"anthropic/claude-sonnet-5-20260630"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.17.0; linux; x64))"
http_referer(null)
request_id"req-1782892079-mBX6zU7bHHqEF5o9BymR"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782892079-ftB8qqqpo9F3LtdBO2cD"
upstream_id"msg_014deAUrMLKMgjuYjdPHhrrK"
total_cost0.004556
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
93.65% Matches word count n/a
neededCleanfalse
words209
0.00% Dialogue to Total Word Ratio
Ratio: 29.91%, Deviation: 19.91%
neededCleanfalse
wordsTotal214
wordsDialogue64
46.8248%