Run: 2026-09-23-01M37PG8PABNGSXJV27A9E4571

Run Details

Duration:
25.2s
Cost:
$0.042160
Provider:
Claude Platform on AWS

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
95.2416% 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 unrolled the blueprint across the hood of the getaway van, weighing its corners down with two stolen party hats. It was drawn in purple crayon. "Where did you get this?" she asked. "Tyler's cousin. Cost me three gummy worms and a sticker." Bill tapped a lopsided rectangle labeled BOUNSY CASTL. His fake clown nose honked softly. "Presents are on the table by the cake," Molly said. "We strike during Pass the Parcel." "Why then?" "Nobody watches anything during Pass the Parcel. Parents film, kids scream. Total chaos." Bill nodded gravely. "My role?" "You're Bongo the Clown. Make balloon animals until I signal." "I can only make swords." "Then make swords. Kids love swords." "What's the signal?" "I'll yell, 'Happy birthday, Tyler!'" "Everyone yells that." Molly frowned at the crayon map. Somewhere down the street, a car alarm chirped. "Fine. I'll sneeze twice." Bill adjusted his rainbow wig, which slid sideways over one eye. He pushed it back with the quiet dignity of a man who had once robbed a moving train. "And if we're caught?" "We run. Toddlers can't catch us." "Tyler's turning nine. Some of them are enormous." Molly stared at him for a long moment, then unwrapped a jumbo lollipop from her pocket. "Then we run faster."
created_at"2026-09-23T17:55:03.514Z" 9/23/2026, 5:55:03 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6282
moderation_latency(null)
generation_time25143
tokens_prompt75
tokens_completion538
native_tokens_prompt95
native_tokens_completion2089
native_tokens_completion_images(null)
native_tokens_reasoning1575
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"
usage0.04216
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790186103-YCSD9RYBKYdTHicDLzKl"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790186103-YIgNxKHytIXndA8lKKhM"
upstream_id"msg_011CfLoPeYPFqLq7NcQrnggw"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLoPeYPFqLq7NcQrnggw"
is_byokfalse
latency1945
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.04216
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
90.48% Matches word count n/a
neededCleanfalse
words210
100.00% Dialogue to Total Word Ratio
Ratio: 49.52%, Deviation: 0.48%
neededCleanfalse
wordsTotal210
wordsDialogue104
95.2416%