Run: 2026-09-23-01M37PE2PMJGRQPDJMGK7HQH8J

Run Details

Duration:
23.4s
Cost:
$0.039880
Provider:
Claude Platform on AWS

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
99.63% Dialogue to Total Word Ratio (details)
99.8047% 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 spread the blueprints across the hood of the van. They were drawn in crayon, mostly purple. "Where did you get these?" Bill asked nervously. "The birthday boy's sister. Cost me a lollipop." "You bribed a six-year-old?" "She drove a hard bargain." Bill squinted at the page. A lopsided rectangle was labeled PRESANTS, surrounded by stick figures holding what appeared to be swords. "Who are these guys?" "Security," Molly said grimly. "The Hendersons hired a magician." Bill went pale. He had not forgotten the Kowalski job, the endless scarves, the dove that followed him home and still lived in his bathroom, judging him. "We go in during cake," Molly continued, tapping a smear of purple glitter. "Forty children, maximum sugar. Nobody watches gifts during candles. I slip in as a clown, you're the balloon guy." "I can only make snakes." "Then you'll make snakes. Confidently." "And if someone asks for a giraffe?" "Tell them it's a snake with ambition." Bill nodded slowly, then frowned. "Molly, what exactly are we stealing? Legos?" She folded the map with terrible dignity. "Bill. Somewhere in that pile is the last limited-edition Dino-Mech Megazord on the Eastern Seaboard." Bill gasped, clutching his heart.
created_at"2026-09-23T17:53:51.845Z" 9/23/2026, 5:53:51 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5511
moderation_latency(null)
generation_time23325
tokens_prompt75
tokens_completion501
native_tokens_prompt95
native_tokens_completion1975
native_tokens_completion_images(null)
native_tokens_reasoning1491
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"
usage0.03988
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790186031-VYsR3iQGkVF1iFLa9X1V"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790186031-2rfFxKKDcA9IykbJGXec"
upstream_id"msg_011CfLoJNJgcrweejt1pSNUm"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLoJNJgcrweejt1pSNUm"
is_byokfalse
latency1249
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.03988
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
99.98% Matches word count n/a
neededCleanfalse
words198
99.63% Dialogue to Total Word Ratio
Ratio: 52.48%, Deviation: 2.48%
neededCleanfalse
wordsTotal202
wordsDialogue106
99.8047%