Run: 2026-07-25-01KYCQQ3YB2HBMMVPCMQE8037H

Run Details

Duration:
26.2s
Cost:
$0.013590
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
93.65% Matches word count (details)
99.70% Dialogue to Total Word Ratio (details)
96.6740% 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 had drawn the layout of the Pemberton back garden on the back of a napkin, using ketchup for the bouncy castle and a mustard smear to indicate the trestle table where the presents would be stacked like a glittering paper ziggurat. Bill studied it with the gravity of a man reading his own autopsy report, then dipped a chip in the bouncy castle. "That's structural," Molly said. The plan, as she explained it over the following forty minutes, involved a rented clown costume, a magician's collapsible sack, and a diversion involving the neighbour's Labrador and eleven sausages. Bill's contribution was a pair of binoculars he had already broken and an insistence that they synchronise watches, despite neither of them owning a watch. He synchronised his phone with the microwave instead, which put them both nine minutes into the future. There were, Molly conceded, complications. The Pemberton child was turning six, which meant thirty guests, four hovering mothers, and a professional entertainer named Mister Sparkle who reportedly boxed on weekends. Bill wiped mustard from his thumb and considered the ruined napkin. "We're stealing from children," he said. "Small children," Molly agreed. "They can't identify us. They can't even read." Bill nodded slowly, reassured, and ordered another plate of chips.
created_at"2026-07-25T13:33:59.642Z" 7/25/2026, 1:33:59 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3971
moderation_latency(null)
generation_time25992
tokens_prompt75
tokens_completion385
native_tokens_prompt93
native_tokens_completion525
native_tokens_completion_images(null)
native_tokens_reasoning50
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"
usage0.01359
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNrx6SffqEcarznXcCb6"
is_byokfalse
latency1808
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784986439-8yzYaw3QbXlgafSxbxfq"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784986439-4I3IevHxPwQ43VLy1t0m"
upstream_id"msg_011CdNrx6SffqEcarznXcCb6"
total_cost0.01359
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
99.70% Dialogue to Total Word Ratio
Ratio: 7.66%, Deviation: 2.34%
neededCleanfalse
wordsTotal209
wordsDialogue16
96.6740%