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Run: 2026-04-24-01KPZTZSPC9GTND1265DQ0PCDZ
Run Details
Model:
Claude Opus 4.7
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
7.5s
Cost:
$0.012290
Provider:
Amazon Bedrock
Evaluation summary
Score
Evaluator
Details Link
90.48%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
45.2419%
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 blueprint across the sticky diner table, narrowly avoiding a puddle of syrup. Bill leaned in, squinting at her crayon markings. "Why is the bouncy castle labeled 'Fort Knox'?" "Because, Bill, that's where Timmy's dad stashes the good loot. The LEGO sets. The Nintendo." "We're stealing from a seven-year-old." "We're stealing from a seven-year-old's *guests*," Molly corrected, tapping the paper. "There's a difference. Morally." Bill sipped his coffee. "Is there, though?" "Look, you go in dressed as the clown. I'll handle the piƱata diversion." "I'm not being the clown again." "You have the face for it." "That's deeply hurtful." Molly sighed, pulling out a second diagram. "Fine. You're the magician. You pull presents out of the hat instead of rabbits. We're out the back door before anyone cuts the cake." "And the parents?" "Distracted. There's always one dad who brings a drone. We weaponize that." Bill set down his mug. "Molly. Be honest with me. Is this about the money, or about the fact that you weren't invited to Jessica Finkelman's birthday in 1994?" Molly's eye twitched. She rolled up the blueprint slowly. "Wear the red nose, Bill."
created_at
"2026-04-24T13:31:09.401Z"
4/24/2026, 1:31:09 PM
model
"anthropic/claude-4.7-opus-20260416"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
833
moderation_latency
(null)
generation_time
7213
tokens_prompt
77
tokens_completion
320
native_tokens_prompt
98
native_tokens_completion
472
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
0.01229
router
(null)
provider_responses
0
endpoint_id
"0fa65117-00d9-4835-808d-9b68041d9ce4"
id
"2a27c603-17e2-4c2a-bb00-679a8aa50ae2"
is_byok
false
latency
832
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-1777037469-ax0g5V08vVer3FEtRsnd"
session_id
(null)
api_type
"completions"
id
"gen-1777037469-ryD60sw88c5gxu8TzsYW"
upstream_id
"2a27c603-17e2-4c2a-bb00-679a8aa50ae2"
total_cost
0.01229
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Amazon Bedrock"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
90.48%
Matches word count
n/a
neededClean
false
words
190
0.00%
Dialogue to Total Word Ratio
Ratio: 72.68%, Deviation: 22.68%
neededClean
false
wordsTotal
194
wordsDialogue
141
45.2419%