Run: 2026-07-01-01KWE90B3Z6BASM0GMS4SQBN33

Run Details

Duration:
13.3s
Cost:
$0.005026
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
45.2419% 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 Bill thought was fitting given their current career trajectory. He spread the blueprints across a card table that wobbled like it had commitment issues. "So the party's at 3 PM," Molly said, tracing a finger along the floor plan of the Hendricks residence. "Bounce house is our blind spot. Nobody watches the perimeter when there's a bounce house." Bill nodded, chewing on a red licorice whip like it owed him money. "And the presents?" "Dining room table. Wrapped like Fort Knox had a baby with Hallmark." "Security?" "One golden retriever named Biscuit. Allegedly ferocious. Actually just wants belly rubs." Bill frowned, the kind of frown that suggested moral complexity had entered a heist that really shouldn't have any. "We're stealing a seven-year-old's birthday presents." "We're liberating consumer goods from an unjust distribution system." "That's the dumbest thing you've ever said." "It's a Barbie Dreamhouse, Bill. There's probably a Malibu Ken in there worth actual money on the collector's market." He considered this. Ken did have a surprisingly robust resale value among a very specific, slightly unsettling demographic. "Fine," Bill said. "But I'm not wearing the clown costume again." "The children will expect a clown." "The children will expect cake, not felonies."
created_at"2026-07-01T07:23:58.475Z" 7/1/2026, 7:23:58 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4122
moderation_latency(null)
generation_time13270
tokens_prompt77
tokens_completion361
native_tokens_prompt93
native_tokens_completion484
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"
usage0.005026
router(null)
provider_responses
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endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_01NnNPEkF4myWCJq75jTWuLQ"
is_byokfalse
latency4095
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-1782890638-PkjlpVp3dP3s6e0r72Yt"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782890638-Pd4429IzzzwLFXP0b6N2"
upstream_id"msg_01NnNPEkF4myWCJq75jTWuLQ"
total_cost0.005026
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
90.48% Matches word count n/a
neededCleanfalse
words210
0.00% Dialogue to Total Word Ratio
Ratio: 53.77%, Deviation: 43.77%
neededCleanfalse
wordsTotal212
wordsDialogue114
45.2419%