Run: 2026-04-24-01KPZV1BVP5M1BKV122V19QM62

Run Details

Duration:
7.8s
Cost:
$0.013015
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
99.86% Dialogue to Total Word Ratio (details)
99.6177% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"So let me get this straight," Molly said, tapping her pen against the blueprints. "We're robbing a seven-year-old." "We're robbing a seven-year-old's *guests*," Bill corrected. "Big difference. Ethically." "Oh, ethically." "The kid still gets the cake." "Bill, they hired a magician." "So?" "So there's going to be a *magician* there. Possibly trained in misdirection. Possibly armed." "Armed with what, Molly? A dove?" "Don't underestimate doves." Bill sighed and pointed at the diagram. "Bounce house here. Piñata here. Present table — right by the window. We go in during 'Pin the Tail on the Donkey.' Nobody can see." "Because they're blindfolded." "Exactly." "That's genuinely the stupidest plan you've ever had, and last month you tried to rob a bank dressed as a bank." "It almost worked." "You walked up to the teller and said, 'I'm the bank.'" "And she laughed, Molly. She laughed, which means she let her guard down." "She called security." "After laughing." Molly pinched the bridge of her nose. "Fine. What's in it for us? LEGOs? A Barbie Dreamhouse?" "The kid's dad is a hedge fund guy." "...Go on." "Rumor is one of the gifts is a Rolex." "For a seven-year-old?" "Rich people, Molly."
created_at"2026-04-24T13:32:00.771Z" 4/24/2026, 1:32:00 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency660
moderation_latency(null)
generation_time7442
tokens_prompt77
tokens_completion342
native_tokens_prompt98
native_tokens_completion501
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"
usage0.013015
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"9c62d2c1-b9f4-4472-9292-60bb360a2a2d"
is_byokfalse
latency660
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-1777037520-cDAPp2bsBlw3cNMgCCa4"
session_id(null)
api_type"completions"
id"gen-1777037520-WJw9Sa7Z3pQW0tyErrz0"
upstream_id"9c62d2c1-b9f4-4472-9292-60bb360a2a2d"
total_cost0.013015
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
99.86% Dialogue to Total Word Ratio
Ratio: 88.06%, Deviation: 1.94%
neededCleanfalse
wordsTotal201
wordsDialogue177
99.6177%