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Run: 2026-09-29-01M3P2KNP9BTTFPHP9FPVHGG57
Run Details
Model:
Claude Sonnet 5.5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
8.3s
Cost:
$0.010010
Provider:
Claude Platform on AWS
Evaluation summary
Score
Evaluator
Details Link
35.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
17.5011%
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 adjusted her clown wig and peered through the hedge at the birthday party. Bouncy castle, forty screaming children, one mountain of gift bags. "That's the target," she whispered. "Seven-year-old Tyler. Forty-three presents." "Forty-three?" Bill gasped. "That's not a heist, that's Christmas." "Focus. You're the entertainer, Balloon Bill. I'm the cake lady." "I don't know how to make balloon animals." "You've been practicing for a week!" "I made a sausage, Molly. Every time. A sad, pink sausage." "Then it's a dachshund. Kids love dachshunds." Bill tugged at his oversized shoes. "What's the signal?" "I yell 'Who wants cake?' and every kid rushes the table. You stuff the presents into the tuba case." "Why do I have a tuba case?" "Because clowns have tuba cases." "That's not true." "Nobody questions a clown with a tuba case, Bill." A small girl in a tiara wandered over and stared at them. "Are you the clowns?" Molly smiled sweetly. "Yes, sweetheart." "Your wig is crooked. And he smells like a getaway van." Bill leaned close to Molly. "I like her. Can we steal her too?" "No."
created_at
"2026-09-29T07:56:00.079Z"
9/29/2026, 7:56:00 AM
model
"anthropic/claude-sonnet-5.5-20260928"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3867
moderation_latency
(null)
generation_time
8320
tokens_prompt
75
tokens_completion
400
native_tokens_prompt
95
native_tokens_completion
982
native_tokens_completion_images
(null)
native_tokens_reasoning
530
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
0.01001
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1790668560-nCykWv40Yu4CTxD96ky9"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790668560-rqxeuNcxL3ByTHbSi9il"
upstream_id
"msg_011CfXNZbVjUCKGLxPRQWpGG"
provider_responses
0
endpoint_id
"99aaad94-923b-4fc1-b763-271ed5486f7a"
id
"msg_011CfXNZbVjUCKGLxPRQWpGG"
is_byok
false
latency
668
model_permaslug
"anthropic/claude-sonnet-5.5-20260928"
provider_name
"Claude Platform on AWS"
status
200
total_cost
0.01001
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Claude Platform on AWS"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
35.00%
Matches word count
n/a
neededClean
false
words
182
0.00%
Dialogue to Total Word Ratio
Ratio: 70.97%, Deviation: 20.97%
neededClean
false
wordsTotal
186
wordsDialogue
132
17.5011%