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Run: 2026-07-01-01KWE9926DDJJ8B4BHAHXNXFDC
Run Details
Model:
Claude Sonnet 5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
8.2s
Cost:
$0.004536
Provider:
Amazon Bedrock
Evaluation summary
Score
Evaluator
Details Link
99.92%
Matches word count
(details)
36.79%
Dialogue to Total Word Ratio
(details)
68.3535%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"Bill, tell me you did not just say we're robbing a six-year-old's birthday party." "Technically it's a seven-year-old. And technically we're robbing the presents, not the kid." "Oh, technically. That makes it so much better." "There's like forty gifts in there, Molly! Forty! Do you know what forty unopened presents smell like? Opportunity." "They smell like Legos and glitter glue, Bill. We're going to get caught by a bounce house." "The bounce house is our exit strategy." "Our exit strategy is a bounce house." "You jump in, you jump out, nobody suspects the guy who just did a somersault." "I hate that this almost makes sense to me." "See? Now you're thinking like a criminal." "I'm thinking like someone who's about to go to prison because of a Paw Patrol pinata." "There's no prison for present theft, Molly, that's not a real charge." "It's called grand larceny, Bill!" "Grand larceny, small presents. It evens out." "That is not how the law works." "Fine, you distract the clown, I'll grab the gift table." "Why am I always the one who has to distract the clown?" "Because you're better with people." "I hate you. Where's the mask with the little bear ears?" "Now you're talking."
created_at
"2026-07-01T07:28:44.249Z"
7/1/2026, 7:28:44 AM
model
"anthropic/claude-sonnet-5-20260630"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1533
moderation_latency
(null)
generation_time
8148
tokens_prompt
77
tokens_completion
332
native_tokens_prompt
93
native_tokens_completion
435
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
0.004536
router
(null)
provider_responses
0
endpoint_id
"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id
"msg_01Q8jH95UgFeqt67nv6MbUnZ"
is_byok
false
latency
1533
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-1782890924-DmK0dxNK8cHVVqjInysP"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1782890924-QsIMljDU5JVTOVfw7yRQ"
upstream_id
"msg_01Q8jH95UgFeqt67nv6MbUnZ"
total_cost
0.004536
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
99.92%
Matches word count
n/a
neededClean
false
words
203
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
207
wordsDialogue
207
68.3535%