Run: 2026-04-24-01KPZV4N55JMPHKSHYS8E5RTBC

Run Details

Duration:
7.3s
Cost:
$0.012340
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
45.2419% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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, narrowly avoiding a puddle of syrup. Bill squinted at the crayon drawings. "This is a napkin," he said. "It's reconnaissance," Molly corrected. "Tommy Pemberton's turning seven on Saturday. His mother invited forty kids. Forty. Do you know what forty rich kids means?" "Germs?" "Presents, Bill. Mountains of presents. Xboxes. LEGO sets. Those little scooters that cost more than my car." Bill scratched his stubble nervously. "Molly, we robbed a casino last year. A casino. Now we're knocking over a birthday party?" "The casino had cameras. The casino had guards. You know what Pemberton Manor has? A clown named Jingles and a bouncy castle." "I don't like clowns." "Nobody likes clowns. That's why it's the perfect cover." She jabbed the napkin. "We dress as entertainers. We wait for cake time. Sugar crash hits, kids go feral, parents are distracted wrestling them into minivans. We load the trunk and vanish." Bill sighed. "And if we get caught?" "By who? Tommy? He's seven. He can't even tie his shoes." "His dad's a lawyer." "Then we'll steal his briefcase too," Molly grinned. "Eat your pancakes."
created_at"2026-04-24T13:33:48.596Z" 4/24/2026, 1:33:48 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency868
moderation_latency(null)
generation_time7174
tokens_prompt77
tokens_completion312
native_tokens_prompt98
native_tokens_completion474
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"
usage0.01234
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"4fac68d3-c7d3-4a84-ad84-865375e31f51"
is_byokfalse
latency868
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-1777037628-skuljlAG9pFvJe49CZmi"
session_id(null)
api_type"completions"
id"gen-1777037628-HBCThY9tvMTrqC4me0yK"
upstream_id"4fac68d3-c7d3-4a84-ad84-865375e31f51"
total_cost0.01234
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
90.48% Matches word count n/a
neededCleanfalse
words190
0.00% Dialogue to Total Word Ratio
Ratio: 80.00%, Deviation: 30.00%
neededCleanfalse
wordsTotal190
wordsDialogue152
45.2419%