Run: 2026-02-24-01KJ8TR4GEZXSCA3M7Y86182QA

Run Details

Duration:
11.9s
Cost:
$0.011260
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
95.99% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
97.9930% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"Alright, Bill, here's the layout. Bouncy castle on the north side, face painting station to the east, and the present table is dead center, guarded by a woman in a Elsa costume," Molly said, spreading a crayon-drawn map across the dashboard. "That's a lot of security." "It gets worse. There's a balloon artist near the back gate. He'll spot us immediately." "Can we bribe him?" "He's six, Bill. He works for juice boxes and animal crackers." "So we bring animal crackers." "We're not bribing a child." "You literally want to steal from children." "That's different. That's professional. Bribery is tacky." Bill rubbed his temples. "Fine. What's the entry plan?" "You go in disguised as a clown." "Absolutely not." "You already have the shoes for it." "Those are orthopedic, Molly." "Whatever. You waddle in, create a distraction, and I grab the presents during the chaos." "What kind of distraction?" "Make balloon animals." "I don't know how to make balloon animals." "Then just pop them and cry. Kids love watching adults fall apart. While everyone's staring at your meltdown, I load the van." Bill stared at her for a long moment. "This is our worst plan yet." "And yet you're going to say yes." "I need a bigger shoe budget."
created_at"2026-02-24T22:01:39.093Z" 2/24/2026, 10:01:39 PM
model"anthropic/claude-4.6-opus-20260205"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1580
moderation_latency407
generation_time11359
tokens_prompt77
tokens_completion418
native_tokens_prompt92
native_tokens_completion432
native_tokens_completion_images(null)
native_tokens_reasoning71
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.01126
router(null)
provider_responses
0
endpoint_id"a8708fb9-08ea-43bb-a3b1-165c87ef09df"
id"f4e31370-5267-464b-87d1-a7c6e81c434a"
is_byokfalse
latency1545
model_permaslug"anthropic/claude-4.6-opus-20260205"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771970499-hdRSIy60tv8ovCe6leHB"
upstream_id"f4e31370-5267-464b-87d1-a7c6e81c434a"
total_cost0.01126
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
95.99% Matches word count n/a
neededCleanfalse
words208
100.00% Dialogue to Total Word Ratio
Ratio: 89.47%, Deviation: 0.53%
neededCleanfalse
wordsTotal209
wordsDialogue187
97.9930%