Run: 2026-02-24-01KJ8VVMBQ89WK8M02ZVE34YPD

Run Details

Duration:
11.6s
Cost:
$0.010860
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
95.99% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
97.9933% 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
"Right," Molly said, unrolling a crayon-drawn map across the dashboard. "The party starts at two. We go in through the back gate." "The back gate with the squeaky latch?" Bill asked. "We'll use WD-40." "On a child's gate. We're greasing a child's gate, Molly." "Do you want the presents or not?" "I do want the presents." "Then stop questioning my methods. Now, the gifts will be stacked on a folding table near the bouncy castle. You grab everything you can carry while I create a distraction." "What kind of distraction?" "I'm going to challenge the birthday boy's father to a limbo contest." "You can't even touch your toes." "Exactly. It'll be mesmerizing. Everyone will watch. Meanwhile, you load the van." "What if a kid sees me?" "Tell them you're from the valet service." "For presents?" "Children are stupid, Bill. That's why they still believe in Santa Claus, and that, frankly, is the whole reason we're in business." "Fair point. What's our exit strategy?" "We drive away." "That's it?" "It's a cul-de-sac in the suburbs, not the Louvre. We drive away, Bill." Bill folded his arms and nodded slowly. "I love this plan."
created_at"2026-02-24T22:21:02.208Z" 2/24/2026, 10:21:02 PM
model"anthropic/claude-4.6-opus-20260205"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2115
moderation_latency180
generation_time11301
tokens_prompt77
tokens_completion390
native_tokens_prompt92
native_tokens_completion416
native_tokens_completion_images(null)
native_tokens_reasoning72
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"
usage0.01086
router(null)
provider_responses
0
endpoint_id"a8708fb9-08ea-43bb-a3b1-165c87ef09df"
id"cdabef98-33f5-4a35-83ea-edd072ce675b"
is_byokfalse
latency2079
model_permaslug"anthropic/claude-4.6-opus-20260205"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771971662-c6DUb8u1btJ83by3lgcf"
upstream_id"cdabef98-33f5-4a35-83ea-edd072ce675b"
total_cost0.01086
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
words192
100.00% Dialogue to Total Word Ratio
Ratio: 90.31%, Deviation: 0.31%
neededCleanfalse
wordsTotal196
wordsDialogue177
97.9933%