Run: 2026-09-23-01M37Q7NMC948ABDCAB5FJSGPD

Run Details

Duration:
22.8s
Cost:
$0.040980
Provider:
Claude Platform on AWS

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.95% Dialogue to Total Word Ratio (details)
99.9747% 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. "Where did you get these?" Bill asked, frowning. "The birthday girl's older brother. Cost me two lollipops and a Pokémon card." "Cheap." "It was holographic, Bill." Bill squinted at the page. A purple rectangle sat in the middle, labeled GIFT TABLE, surrounded by angry red scribbles. "What are the scribbles?" "Security. Four grandmothers, one bouncy castle, and a clown named Mister Giggles." Bill paled visibly. He had met clowns before. None of them had been giggly. Molly tapped the crayon map with a pencil, as if that made it more official. "The plan is elegant. You go in as a magician and distract the crowd. I slip through the back gate with a laundry sack." "I can't do magic." "You can pull a coin from behind your ear." "That's my coin. I keep it there." "Nobody needs to know." Outside the van, a cheerful balloon bobbed past on the breeze, drifting slowly toward the party like an omen. "Molly," Bill whispered, "what if they ask me to make balloon animals?" She stared at him for a long, grim moment. "Then, Bill, you improvise a snake."
created_at"2026-09-23T18:07:50.428Z" 9/23/2026, 6:07:50 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5489
moderation_latency(null)
generation_time22784
tokens_prompt75
tokens_completion557
native_tokens_prompt95
native_tokens_completion2030
native_tokens_completion_images(null)
native_tokens_reasoning1589
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"
usage0.04098
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790186870-Q9bXhLWdr6xNXQi4eWn2"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790186870-Y1nZ90WemO8MiNxOhf2w"
upstream_id"msg_011CfLpNBQpih7b4DPhE2tRm"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLpNBQpih7b4DPhE2tRm"
is_byokfalse
latency1230
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.04098
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
words200
99.95% Dialogue to Total Word Ratio
Ratio: 51.50%, Deviation: 1.50%
neededCleanfalse
wordsTotal200
wordsDialogue103
99.9747%