Run: 2026-04-24-01KPZTWBFBZFDQQJ8D3EVZ9A68

Run Details

Duration:
7.6s
Cost:
$0.012115
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
43.1902% 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 unrolled the blueprints across the sticky diner table, pinning the corners with ketchup bottles. Bill squinted at the crayon drawing of a bouncy castle. "Explain to me again why we're robbing an eight-year-old," he muttered. "Because Timmy Henderson's father is a hedge fund manager," Molly said. "That kid is getting a PlayStation, a drone, and possibly a pony." "A pony fits in the van?" "We're not stealing the pony, Bill." He scratched his chin. "What about the clown? Clowns see things." "The clown is the distraction. I bribed him with forty bucks and a bottle of gin." "Generous." "He's a sad clown. It's a whole thing." Molly tapped the blueprint. "You enter through the patio during pin-the-tail. I swap the gift pile with decoy boxes full of socks." "Kids are gonna cry." "Kids cry anyway," she said. "It's their whole brand." Bill sighed, stealing a fry. "What if we get caught?" "By whom? Grandma? She's ninety and legally blind." "Fair point." "Wear the magician costume. Nobody questions a magician." "I can't do magic, Molly." "Exactly," she grinned. "You'll make the presents disappear." Bill groaned. She high-fived herself anyway.
created_at"2026-04-24T13:29:16.535Z" 4/24/2026, 1:29:16 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1632
moderation_latency(null)
generation_time7556
tokens_prompt77
tokens_completion319
native_tokens_prompt98
native_tokens_completion465
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"
usage0.012115
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"900f562c-365d-4b93-ad5e-3bcc43880a36"
is_byokfalse
latency1632
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-1777037356-tEb83zg2o5rCGc4XIXTw"
session_id(null)
api_type"completions"
id"gen-1777037356-xllgo32yf2SYAZyaa1p8"
upstream_id"900f562c-365d-4b93-ad5e-3bcc43880a36"
total_cost0.012115
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words189
0.00% Dialogue to Total Word Ratio
Ratio: 72.68%, Deviation: 22.68%
neededCleanfalse
wordsTotal194
wordsDialogue141
43.1902%