Run: 2026-04-24-01KQ0GCN3NB2NMWECW8TVQAG98

Run Details

Duration:
7.4s
Cost:
$0.012540
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
43.1902% 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, nearly knocking over Bill's milkshake. "Target is Tyler Pemberton's seventh birthday," she said. "Saturday, fourteen hundred hours. Bounce house in the backyard, clown on the patio, piƱata at fifteen hundred sharp." Bill squinted at the layout. "What's our way in?" "Chimney." "It's July, Molly." "Fine. The dog door. You're going first." "Why me?" "Because I outrank you, and because you fit." Bill slurped his milkshake aggressively. "That's profiling. What about the parents?" "Distraction team. I hired a magician." "You hired a magician?" "Guy named Mysterio. Twelve bucks an hour. He pulls scarves from places scarves shouldn't come from." "And the kids?" "Cake will be laced." Bill dropped his spoon. "Molly, no." "With extra frosting, Bill. Relax. They'll be in a sugar coma. We grab the loot pile, out the back, into the van by fifteen-thirty." "What kind of presents are we even expecting?" "LEGO sets. Nintendo Switch. Possibly a pony." "A pony won't fit in the van." "Then you ride it home." Bill stared at her for a long moment. "I've always wanted a pony." "I know, Bill. I know."
created_at"2026-04-24T19:45:10.777Z" 4/24/2026, 7:45:10 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1204
moderation_latency(null)
generation_time7326
tokens_prompt77
tokens_completion326
native_tokens_prompt98
native_tokens_completion482
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"
usage0.01254
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"ddf45f2c-ff59-4e57-bede-5f4496507e1b"
is_byokfalse
latency1201
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-1777059910-R5RiWT1WxUODeDaWL9RZ"
session_id(null)
api_type"completions"
id"gen-1777059910-qPer2H0N5VsKSP7ApWW4"
upstream_id"ddf45f2c-ff59-4e57-bede-5f4496507e1b"
total_cost0.01254
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words189
0.00% Dialogue to Total Word Ratio
Ratio: 80.00%, Deviation: 30.00%
neededCleanfalse
wordsTotal190
wordsDialogue152
43.1902%