Run: 2026-04-24-01KQ0G40GSX0KAKQHGSYR5SBG6

Run Details

Duration:
7.3s
Cost:
$0.011540
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
78.82% Dialogue to Total Word Ratio (details)
89.0971% 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 spread the blueprints across the sticky diner table, weighing down the corners with ketchup bottles and a half-eaten plate of hash browns. The schematic of the Whimsy Wonderland Party Palace looked less like a floor plan and more like a fever dream drawn by a toddler hopped up on Pixy Stix. Ball pits. Bounce castles. A clown named Mr. Giggles who, according to Bill's extensive reconnaissance, had a documented fear of balloon animals. Bill slurped his coffee and traced a grimy finger along the proposed entry route, which ran directly through the piƱata staging area. His plan hinged on three things: a forged invitation, a rented llama, and an unshakable commitment to pretending he was Timmy's Uncle Steve from Cleveland. Molly, meanwhile, would be disguised as the face painter, her duffel bag tucked beneath a mountain of glitter and non-toxic acrylics, ready to be stuffed with loot once the cake was cut. "Kids have more gold than pirates," Molly muttered, eyeing the present table sketch. Bill nodded gravely, as if she'd quoted scripture. Eight-year-olds, they had concluded after extensive research, received an indecent number of unboxed electronics, and someone had to liberate those riches.
created_at"2026-04-24T19:40:27.55Z" 4/24/2026, 7:40:27 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency898
moderation_latency(null)
generation_time7190
tokens_prompt77
tokens_completion311
native_tokens_prompt98
native_tokens_completion442
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"
usage0.01154
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"8721565d-ec8d-4351-b3e2-a3dae53d2524"
is_byokfalse
latency898
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777059627-ocfihprRZ97bOcIis65t"
session_id(null)
api_type"completions"
id"gen-1777059627-zWPWfe1Jh2x63Hl4KRAw"
upstream_id"8721565d-ec8d-4351-b3e2-a3dae53d2524"
total_cost0.01154
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.38% Matches word count n/a
neededCleanfalse
words195
78.82% Dialogue to Total Word Ratio
Ratio: 3.02%, Deviation: 6.98%
neededCleanfalse
wordsTotal199
wordsDialogue6
89.0971%