Run: 2026-09-23-01M37PTK36B1FSXRPB5JMC7KW5

Run Details

Duration:
21.9s
Cost:
$0.038880
Provider:
Claude Platform on AWS

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
83.97% Dialogue to Total Word Ratio (details)
91.8595% 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

AI
"Okay, Bill, run it back. What's the plan?" "We go in as clowns." "Why clowns?" "Nobody questions a clown, Molly. A clown can walk anywhere. Hospitals. Banks. Weddings." "Clowns absolutely get questioned at weddings." "Fine. Not weddings. But a seven-year-old's birthday? We're royalty." "And the presents?" "Stacked on the table by the bouncy castle. I've been casing it for three days." "From where?" "The hedge." "Bill, the mom called the police about a hedge man." "That was a different hedge man." "There are two hedge men?" "It's a competitive neighborhood." Molly rubbed her temples. "Okay. We get in. Then what?" "I do balloon animals. Big distraction. While they're mesmerized, you load the presents into the van." "Can you make balloon animals?" "I can make a snake." "That's just a balloon." "It's a very confident balloon. It believes in itself." "And the getaway?" "My cousin Terry's ice cream truck." "Terry who got arrested for selling ice cream in January?" "He's a visionary, Molly." "And if the kids notice?" "They're children, Molly. They're three feet tall. What are they gonna do?" "Bill, it's a karate party." Bill went pale. "...Right. New plan. We go in as karate instructors."
created_at"2026-09-23T18:00:41.851Z" 9/23/2026, 6:00:41 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5720
moderation_latency(null)
generation_time21873
tokens_prompt75
tokens_completion480
native_tokens_prompt95
native_tokens_completion1925
native_tokens_completion_images(null)
native_tokens_reasoning1437
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"
usage0.03888
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790186441-wKtUWueEKBKa6N39OYyu"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790186441-uhtkqtIBPKlswDHvKwWC"
upstream_id"msg_011CfLopbt61fgk94trzrCB9"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLopbt61fgk94trzrCB9"
is_byokfalse
latency1348
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.03888
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
99.74% Matches word count n/a
neededCleanfalse
words196
83.97% Dialogue to Total Word Ratio
Ratio: 96.46%, Deviation: 6.46%
neededCleanfalse
wordsTotal198
wordsDialogue191
91.8595%