Run: 2026-04-24-01KQ0G5WAT6MKYTJCX7ARXPKEV

Run Details

Duration:
6.7s
Cost:
$0.010840
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
97.63% Matches word count (details)
94.29% Dialogue to Total Word Ratio (details)
95.9596% 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 sticky diner table, pinning its corners with ketchup bottles and a half-eaten waffle. The schematic showed a suburban backyard rendered in terrifying detail: bouncy castle, piƱata trajectory, the strategic placement of a folding table groaning under brightly wrapped loot. She had circled the presents in red marker, then circled the red circles, then, for reasons she could not explain, drawn a small mustache on the clown. Bill sipped his coffee and studied the diagram like a general studying a map of Normandy. The target was a seventh birthday party for one Tobias Hendershot, whose aunt, according to Molly's extensive reconnaissance, had a gambling problem and a habit of wrapping hundred-dollar bills inside Lego sets. There would be cake. There would be chaos. There would, most importantly, be a magician arriving at three, which gave them a forty-five-minute window while every adult pretended to be delighted by disappearing scarves. "We go in dressed as parents," Molly said. Bill frowned at his waffle, considering the moral weight of stealing from a child, then considering the weight of his rent. "I'll bring the minivan," he said, and stabbed the syrup.
created_at"2026-04-24T19:41:28.799Z" 4/24/2026, 7:41:28 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1230
moderation_latency(null)
generation_time6642
tokens_prompt77
tokens_completion311
native_tokens_prompt98
native_tokens_completion414
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"
usage0.01084
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"62dd20f9-95c7-48d6-ab00-903c9d8c3fd1"
is_byokfalse
latency1230
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-1777059688-3XlYatUtdTr5DjBSjZZl"
session_id(null)
api_type"completions"
id"gen-1777059688-8oYNV8EQ9DMTnDf7yLa8"
upstream_id"62dd20f9-95c7-48d6-ab00-903c9d8c3fd1"
total_cost0.01084
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
97.63% Matches word count n/a
neededCleanfalse
words193
94.29% Dialogue to Total Word Ratio
Ratio: 5.08%, Deviation: 4.92%
neededCleanfalse
wordsTotal197
wordsDialogue10
95.9596%