Run: 2026-09-23-01M37PG30C16W8D8NCZEYKGVFF

Run Details

Duration:
27.2s
Cost:
$0.048320
Provider:
Claude Platform on AWS

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9981% 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

AI
Molly spread the blueprint across the hood of the getaway van, which was actually an ice cream truck with its jingle permanently stuck on Greensleeves. The blueprint was also not a blueprint. It was a birthday invitation, covered in glitter unicorns, that Bill had peeled off a lamppost. Bill leaned in, squinting at the rainbow lettering. He traced the route with a finger sticky from a stolen lollipop: through the side gate, past the bouncy castle, under the snack table, straight to the presents stacked beside the cake like a small, extremely festive treasury. "What's security like?" Molly asked. "Twelve six-year-olds. One clown. Possibly a grandma." Molly nodded grimly. She had met clowns. One had once twisted her into a balloon giraffe so tightly it took three firefighters and a pin to free her. The plan was elegant. Bill would pose as a magician and distract the guests with the only trick he knew, which involved losing a coin permanently. Molly would slip behind the hydrangeas and fill a sack with every shiny box in sight. "And if the birthday girl notices?" Bill swallowed hard. "Then we run. Fast." Somewhere down the street, a six-year-old sharpened a plastic sword and waited.
created_at"2026-09-23T17:54:57.696Z" 9/23/2026, 5:54:57 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6673
moderation_latency(null)
generation_time27129
tokens_prompt75
tokens_completion687
native_tokens_prompt95
native_tokens_completion2397
native_tokens_completion_images(null)
native_tokens_reasoning1967
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"
usage0.04832
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790186097-Hrrzu7BBFG4pZeNxgnEg"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790186097-eVXgxcHRjVSpCJxf2NFt"
upstream_id"msg_011CfLoPDsZs2LHRHsVw3yrH"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLoPDsZs2LHRHsVw3yrH"
is_byokfalse
latency1963
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.04832
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
100.00% Matches word count n/a
neededCleanfalse
words201
100.00% Dialogue to Total Word Ratio
Ratio: 10.73%, Deviation: 0.73%
neededCleanfalse
wordsTotal205
wordsDialogue22
99.9981%