Run: 2026-04-24-01KPZV11H7HMV194FAXDN82RWG

Run Details

Duration:
8.1s
Cost:
$0.011990
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
98.71% Matches word count (details)
78.33% Dialogue to Total Word Ratio (details)
88.5227% 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 unfurled the blueprints across the sticky diner table, pinning the corners down with ketchup bottles and a half-eaten pancake. The layout of the Tumbleton residence sprawled before them like a treasure map, complete with hand-drawn arrows indicating the bounce house, the piƱata zone, and what Molly had ominously labeled "The Goodie Bag Perimeter." Bill slurped his coffee, squinting at a red circle near the patio. Seven-year-old Timmy Tumbleton was celebrating his birthday on Saturday, and intelligence suggested an obscene haul of wrapped presents, likely including the limited-edition Mega-Dino-Blaster that had been sold out for months. The father, a hedge fund manager, was known for overcompensating through aggressive gift-giving from every guest's parents. "Clown costumes," Molly whispered, sliding a glossy rental catalog toward him. Bill's mustache twitched with offense. He hated clowns. He hated children slightly more. But he loved money, and the resale value of unopened toys on certain shadowy corners of the internet was, frankly, staggering. He tapped a meaty finger against the blueprint, specifically on the garage, where the overflow gifts would surely be stashed before the grand unveiling. Molly grinned wickedly, already mentally spending her cut on a tropical vacation.
created_at"2026-04-24T13:31:50.197Z" 4/24/2026, 1:31:50 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency637
moderation_latency(null)
generation_time7973
tokens_prompt77
tokens_completion332
native_tokens_prompt98
native_tokens_completion460
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"
usage0.01199
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"7f4ba9c7-a9ff-4ba4-bd53-8b3035a483db"
is_byokfalse
latency636
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-1777037510-VQnDAWDBTYQ2UF8TcGUW"
session_id(null)
api_type"completions"
id"gen-1777037510-FsDqNfnmAo86EctgKoL6"
upstream_id"7f4ba9c7-a9ff-4ba4-bd53-8b3035a483db"
total_cost0.01199
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
98.71% Matches word count n/a
neededCleanfalse
words194
78.33% Dialogue to Total Word Ratio
Ratio: 2.97%, Deviation: 7.03%
neededCleanfalse
wordsTotal202
wordsDialogue6
88.5227%