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Run: 2026-04-24-01KPZTWBFBZFDQQJ8D3EVZ9A68
Run Details
Model:
Claude Opus 4.7
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
7.6s
Cost:
$0.012115
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
Messages
Meta
AI
Molly unrolled the blueprints across the sticky diner table, pinning the corners with ketchup bottles. Bill squinted at the crayon drawing of a bouncy castle. "Explain to me again why we're robbing an eight-year-old," he muttered. "Because Timmy Henderson's father is a hedge fund manager," Molly said. "That kid is getting a PlayStation, a drone, and possibly a pony." "A pony fits in the van?" "We're not stealing the pony, Bill." He scratched his chin. "What about the clown? Clowns see things." "The clown is the distraction. I bribed him with forty bucks and a bottle of gin." "Generous." "He's a sad clown. It's a whole thing." Molly tapped the blueprint. "You enter through the patio during pin-the-tail. I swap the gift pile with decoy boxes full of socks." "Kids are gonna cry." "Kids cry anyway," she said. "It's their whole brand." Bill sighed, stealing a fry. "What if we get caught?" "By whom? Grandma? She's ninety and legally blind." "Fair point." "Wear the magician costume. Nobody questions a magician." "I can't do magic, Molly." "Exactly," she grinned. "You'll make the presents disappear." Bill groaned. She high-fived herself anyway.
created_at
"2026-04-24T13:29:16.535Z"
4/24/2026, 1:29:16 PM
model
"anthropic/claude-4.7-opus-20260416"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1632
moderation_latency
(null)
generation_time
7556
tokens_prompt
77
tokens_completion
319
native_tokens_prompt
98
native_tokens_completion
465
native_tokens_completion_images
(null)
native_tokens_reasoning
0
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"end_turn"
usage
0.012115
router
(null)
provider_responses
0
endpoint_id
"0fa65117-00d9-4835-808d-9b68041d9ce4"
id
"900f562c-365d-4b93-ad5e-3bcc43880a36"
is_byok
false
latency
1632
model_permaslug
"anthropic/claude-4.7-opus-20260416"
provider_name
"Amazon Bedrock"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777037356-tEb83zg2o5rCGc4XIXTw"
session_id
(null)
api_type
"completions"
id
"gen-1777037356-xllgo32yf2SYAZyaa1p8"
upstream_id
"900f562c-365d-4b93-ad5e-3bcc43880a36"
total_cost
0.012115
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Amazon Bedrock"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
86.38%
Matches word count
n/a
neededClean
false
words
189
0.00%
Dialogue to Total Word Ratio
Ratio: 72.68%, Deviation: 22.68%
neededClean
false
wordsTotal
194
wordsDialogue
141
43.1902%