Run: 2026-04-24-01KPZV1XNHEPKFK9CYM1TVESK4

Run Details

Duration:
11.1s
Cost:
$0.013065
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
81.27% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
40.6364% 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 spread the blueprint across the sticky diner table, weighing down the corners with ketchup bottles. Bill squinted at it, chewing a pen cap. "It's a bounce house, Bill, not Fort Knox." "Bounce houses have perimeters, Molly. Perimeters have weaknesses." "The weakness is that it's inflatable." Bill tapped the paper solemnly. "And the clown?" "What about the clown?" "Clowns are unpredictable. I once saw a clown palm a quarter faster than I could blink." Molly pinched the bridge of her nose. "We go in at two-fifteen, right after the piƱata. Everyone's distracted hunting candy. You grab the gift table, I grab the goody bags." "What about the parents?" "Sugar-drunk and checking their phones. Trust me." "And if a kid sees us?" "We smile. We wave. We say we're Aunt Rhonda's friends." "Who's Aunt Rhonda?" "Every party has an Aunt Rhonda, Bill." He considered this, nodding slowly. "Fair. What's our exit?" "Minivan. Sliding door. I've practiced the pivot." "And the loot?" "Split sixty-forty. I get the LEGO sets." "Sixty-forty?" Bill sputtered. "Who negotiated that?" "I did. Just now." Molly grinned and stole his coffee. "Welcome to the party, partner."
created_at"2026-04-24T13:32:19.006Z" 4/24/2026, 1:32:19 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency867
moderation_latency(null)
generation_time11045
tokens_prompt77
tokens_completion325
native_tokens_prompt98
native_tokens_completion503
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"
usage0.013065
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"575478ec-15f4-4e27-be13-eb1e1b472d79"
is_byokfalse
latency867
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-1777037539-opACAaT15U17FVG4RBZ0"
session_id(null)
api_type"completions"
id"gen-1777037539-JNb72cZTQKwOqdDlrvwr"
upstream_id"575478ec-15f4-4e27-be13-eb1e1b472d79"
total_cost0.013065
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
81.27% Matches word count n/a
neededCleanfalse
words188
0.00% Dialogue to Total Word Ratio
Ratio: 74.48%, Deviation: 24.48%
neededCleanfalse
wordsTotal192
wordsDialogue143
40.6364%