Run: 2026-04-24-01KQ0G1YC1HHB3ZWWW8TP9YGKC

Run Details

Duration:
7.6s
Cost:
$0.011540
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
98.71% Matches word count (details)
86.89% Dialogue to Total Word Ratio (details)
92.8020% 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 blueprints across the sticky diner table, pinning down the corners with ketchup bottles. Bill squinted at the crayon drawing. "This is a placemat." "It's reconnaissance, Bill. I had the birthday girl draw it while her mother was in the bathroom." "You interrogated a seven-year-old?" "I bought her pancakes. She sang like a canary." Molly tapped a lopsided square. "Bounce house here. PiƱata here. Presents stacked in the dining room under a banner that says 'Princess Tabitha.'" Bill rubbed his temples, already regretting everything. A toddler at the next booth was watching them with unsettling intensity. "We are grown adults, Molly." "We are grown adults who are broke." "There'll be parents there." "Distracted parents. Drinking boxed wine and pretending to enjoy each other." She slid a photograph across the table. "Our way in." Bill stared at the clown costume, its painted smile somehow threatening and depressed at once. "Absolutely not." "You have the face for it." "That is deeply insulting." "I've rented the van. I've bought the balloons. I've learned three magic tricks, Bill." He sighed, picked up the red rubber nose, and turned it over in his palm like a grenade.
created_at"2026-04-24T19:39:19.816Z" 4/24/2026, 7:39:19 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency995
moderation_latency331
generation_time7129
tokens_prompt77
tokens_completion327
native_tokens_prompt98
native_tokens_completion442
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"
usage0.01154
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"4f774fb2-69f4-4803-b140-35cfa5c2c54c"
is_byokfalse
latency995
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-1777059559-Cza2gFXT8LvJMYoZUdOc"
session_id(null)
api_type"completions"
id"gen-1777059559-Bpdtq07DiqJMYq39ZznT"
upstream_id"4f774fb2-69f4-4803-b140-35cfa5c2c54c"
total_cost0.01154
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
98.71% Matches word count n/a
neededCleanfalse
words194
86.89% Dialogue to Total Word Ratio
Ratio: 56.12%, Deviation: 6.12%
neededCleanfalse
wordsTotal196
wordsDialogue110
92.8020%