Run: 2026-04-24-01KPZTZQZJXM8FPK71QVJ99P57

Run Details

Duration:
7.5s
Cost:
$0.010940
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
95.99% Matches word count (details)
88.61% Dialogue to Total Word Ratio (details)
92.2967% 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 spread the blueprints across the sticky diner table, pinning down the corners with ketchup bottles and a half-eaten plate of hash browns. The layout of the Peterson residence looked deceptively simple: kitchen, living room, backyard, and the sacred epicenter of their operation—the gift table, currently estimated to hold seventeen wrapped packages of unknown but potentially lucrative contents. Bill squinted at the diagram, tracing a greasy finger along the proposed entry route through the side gate. His clown costume hung on the back of the booth, the red nose dangling from one oversized pocket like an incriminating cherry. He'd spent three days practicing balloon animals and still couldn't manage anything more sophisticated than a lopsided snake, which he'd been told was just a regular balloon. "The magician bails at three," Molly said. That was their window. Thirty minutes of chaos during the pin-the-tail transition, when parents would be distracted by lukewarm coffee and the birthday boy would be hopped up on frosting. Bill would create a diversion involving a malfunctioning juggling routine while Molly, disguised as Aunt Linda, swept the presents into an oversized diaper bag. Bill frowned. "I hate kids."
created_at"2026-04-24T13:31:07.648Z" 4/24/2026, 1:31:07 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1132
moderation_latency(null)
generation_time7386
tokens_prompt77
tokens_completion316
native_tokens_prompt98
native_tokens_completion418
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"
usage0.01094
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"3ac9a9c3-8e60-43bf-a65e-2ef63f153265"
is_byokfalse
latency1132
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-1777037467-OKNT1TPKtzQLVSwZzkeb"
session_id(null)
api_type"completions"
id"gen-1777037467-oCPWbpTXGcxsNEgKPBOZ"
upstream_id"3ac9a9c3-8e60-43bf-a65e-2ef63f153265"
total_cost0.01094
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
95.99% Matches word count n/a
neededCleanfalse
words192
88.61% Dialogue to Total Word Ratio
Ratio: 4.10%, Deviation: 5.90%
neededCleanfalse
wordsTotal195
wordsDialogue8
92.2967%