Run: 2026-09-29-01M3P2KNP9BTTFPHP9FPVHGG57

Run Details

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

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_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3867
moderation_latency(null)
generation_time8320
tokens_prompt75
tokens_completion400
native_tokens_prompt95
native_tokens_completion982
native_tokens_completion_images(null)
native_tokens_reasoning530
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
service_tier"default"
usage0.01001
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_byokfalse
latency668
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.01001
cache_discount(null)
upstream_inference_cost0
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
neededCleanfalse
words182
0.00% Dialogue to Total Word Ratio
Ratio: 70.97%, Deviation: 20.97%
neededCleanfalse
wordsTotal186
wordsDialogue132
17.5011%