Run: 2026-07-25-01KYCRKVP9JVXMZHS46PN29635

Run Details

Duration:
12.2s
Cost:
$0.016815
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
97.63% Matches word count (details)
10.74% Dialogue to Total Word Ratio (details)
54.1821% 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 unrolled the blueprint across the hood of the van, smoothing it flat with the heel of her hand. It was, technically, a placemat from the Happy Otter Family Diner, but she had annotated it in three colors of crayon, and she considered that professional enough. Bill studied the layout of the Pemberton back garden: the trestle table, the piƱata, the inflatable turret guarding the northern approach. "The bouncy castle is the weak point," Molly said. He chewed his thumbnail. Twenty-two years in the business, four prisons, one bank vault in Antwerp opened with nothing but patience and a dessert spoon, and now this. He looked at the crayon. He looked at the otter. "We're stealing from a six-year-old." "Correction. From a six-year-old's aunts." Molly tapped the table with a purple stub. "Six aunts. Six wrapped rectangles. Aunts buy tablets, Bill. Aunts buy jewelry for children who lose it in sandboxes." The math was, admittedly, elegant. He hated when the math was elegant. She handed him a foam clown nose and a bag of un-inflated balloons, and he accepted both the way a condemned man accepts breakfast. "Balloons," she said. "Wear the nose."
created_at"2026-07-25T13:49:41.456Z" 7/25/2026, 1:49:41 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3990
moderation_latency(null)
generation_time12077
tokens_prompt75
tokens_completion367
native_tokens_prompt93
native_tokens_completion654
native_tokens_completion_images(null)
native_tokens_reasoning71
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"
usage0.016815
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNt9V9qgFUCFd8TJJko2"
is_byokfalse
latency1260
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-1784987381-00VezJ4LegLsbLqJAypd"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784987381-lNankNi4BabTxP58cePV"
upstream_id"msg_011CdNt9V9qgFUCFd8TJJko2"
total_cost0.016815
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
97.63% Matches word count n/a
neededCleanfalse
words193
10.74% Dialogue to Total Word Ratio
Ratio: 22.22%, Deviation: 12.22%
neededCleanfalse
wordsTotal198
wordsDialogue44
54.1821%