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Run: 2026-07-01-01KWEAE2SMXTGH1HS5HSEQZP8Q
Run Details
Model:
Claude Sonnet 5
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
9.1s
Cost:
$0.004946
Provider:
Amazon Bedrock
Evaluation summary
Score
Evaluator
Details Link
98.71%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.3562%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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
The warehouse smelled like stale popcorn and broken dreams, which seemed fitting given what Molly and Bill were about to attempt. Spread across the table between them was a hand-drawn map of the Hendricks' backyard, complete with a bounce house rendered in suspiciously professional detail. "Explain to me again," Bill said, squinting at a sketch labeled PONY (HOSTILE), "why we're robbing an eight-year-old's birthday party." Molly didn't look up from the blueprint. "Because Timmy Hendricks is getting a PlayStation, a bicycle, and according to my source, an actual drone. That's easy money, Bill." "Your source is his babysitter." "My source is reliable." Bill rubbed his temples. This was, without question, the lowest point in a career full of low points. They'd robbed banks. They'd robbed a yacht once, memorably, while the owner was still aboard. And now here they were, plotting to infiltrate a bounce house perimeter guarded by a face-painting clown named Sparkles. "The clown," Bill said. "What's our plan for the clown?" Molly finally looked up, grinning. "We become the clowns." Bill stared at her. Somewhere in his gut, professional pride curdled into something resembling despair. But the drone. The bicycle. The math, unfortunately, worked. "Fine," he sighed. "But I'm not doing balloon animals."
created_at
"2026-07-01T07:48:57.28Z"
7/1/2026, 7:48:57 AM
model
"anthropic/claude-sonnet-5-20260630"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1864
moderation_latency
179
generation_time
8846
tokens_prompt
77
tokens_completion
344
native_tokens_prompt
93
native_tokens_completion
476
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"
service_tier
"default"
usage
0.004946
router
(null)
provider_responses
0
endpoint_id
"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id
"msg_01Xc2AoMcEG2o2WCRQpUGP7Z"
is_byok
false
latency
1863
model_permaslug
"anthropic/claude-sonnet-5-20260630"
provider_name
"Amazon Bedrock"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.17.0; linux; x64))"
http_referer
(null)
request_id
"req-1782892137-0HJ44UyHeyiM5UjmSpVs"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1782892137-CXRGM3bJeaQv31K4QsEf"
upstream_id
"msg_01Xc2AoMcEG2o2WCRQpUGP7Z"
total_cost
0.004946
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Amazon Bedrock"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
98.71%
Matches word count
n/a
neededClean
false
words
206
0.00%
Dialogue to Total Word Ratio
Ratio: 35.24%, Deviation: 25.24%
neededClean
false
wordsTotal
210
wordsDialogue
74
49.3562%