Run: 2026-07-25-01KYCRH9WKZQCXS4BD0HPGDYCG

Run Details

Duration:
11.0s
Cost:
$0.013990
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
51.52% Dialogue to Total Word Ratio (details)
75.7509% 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
"Right, the target," Bill said. "Ninth birthday. Ballpit. Forty-two RSVPs." "Forty-two presents." "Forty-one. Cousin Gavin brings a card." "What's our way in?" "Bouncy castle. Round the back, blind spot from the kitchen window, and nobody looks at a bouncy castle." "You're going to bounce into a heist." "I'm going to *traverse* a bouncy castle, Molly, with dignity." "And the parents?" "Sedated by small talk. There's a woman called Deirdre who corners people about her extension. Twelve minutes minimum. We move during Deirdre." "What about the birthday boy?" "Callum. Weak point. He's got a wooden sword and a grudge against everyone taller than four foot." "So we go in low." "We go in *crouched*. Like professionals." "And the presents come out how?" "Wheelie bin. I've lined it with a tablecloth so nothing rattles." "Bill, there's a magician." "...Say that again." "There's a magician. Two till three. Mr Marvello." "Marvello's straight, he wouldn't touch this." "Marvello owes me eighty quid and a rabbit." "Then Marvello does thirty minutes of misdirection while we clean out the conservatory." "And the cake?" "What about the cake?" "I want the cake, Bill." "It's shaped like a digger." "I want the digger cake." "Fine. We take the digger cake."
created_at"2026-07-25T13:48:17.691Z" 7/25/2026, 1:48:17 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2499
moderation_latency(null)
generation_time10861
tokens_prompt75
tokens_completion353
native_tokens_prompt93
native_tokens_completion541
native_tokens_completion_images(null)
native_tokens_reasoning19
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"
usage0.01399
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNt3K5CL4Yio36SDjMCG"
is_byokfalse
latency1156
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-1784987297-9DRM6assxF8MfA5cpAzM"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784987297-aKyUzhRIC3lBquqOXhqX"
upstream_id"msg_011CdNt3K5CL4Yio36SDjMCG"
total_cost0.01399
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
99.98% Matches word count n/a
neededCleanfalse
words202
51.52% Dialogue to Total Word Ratio
Ratio: 99.02%, Deviation: 9.02%
neededCleanfalse
wordsTotal205
wordsDialogue203
75.7509%