Run: 2026-09-23-01M37PCHBD5M3QH7HP6JP50WXF

Run Details

Duration:
42.5s
Cost:
$0.079720
Provider:
Claude Platform on AWS

Evaluation summary

Score Evaluator
Details Link
60.28% Matches word count (details)
99.46% Dialogue to Total Word Ratio (details)
79.8701% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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, pinning one corner with a thermos and the other with Bill's elbow, which he had not volunteered. The blueprints were, strictly speaking, a birthday invitation. Someone had drawn a map on the back in purple crayon, complete with a smiling sun and an arrow labeled PARTY HERE. Molly had circled the arrow three times in red marker, which made it look professional. "Eleven-hundred hours," she said. "The Hendersons' backyard. Thirty-two guests, all under the age of eight. Every single one of them bringing a gift." Bill squinted at the crayon sun. "That's a lot of loot." "That's a mountain of loot, Bill. That's Everest wrapped in dinosaur paper." Bill nodded slowly, the way he did when he was pretending to understand something. He was a large man with a gentle face, the kind of face that made grandmothers hand him their groceries, and he had been Molly's partner for six years. In that time, he had successfully cracked two safes, one of which had been open. "What's the security like?" he asked. Molly produced a surveillance photo. It showed a bouncy castle shaped like a dragon, a folding table covered in juice boxes, and a woman in a sun hat holding a clipboard. "That's Linda Henderson," Molly said. "Mother of the birthday boy. She runs the PTA like a military junta. Nobody gets past Linda." "Nobody at all?" "Last year a man tried to leave a bake sale with an extra brownie. They never found him." Bill swallowed. Molly explained the plan, tapping each point with her marker. Bill would arrive dressed as a professional clown, a role for which he had been rehearsing all week, mostly by falling down. While the children were distracted, Molly would slip in through the side gate, locate the gift table, and transfer everything into the van, which she had painted to read BALLOON DELIVERY in letters that were only slightly crooked. "And then we're rich," she said. "How rich?" Molly did some math on her fingers. It did not go well, so she stopped. "Rich in Lego. Possibly slime," she said firmly. Bill brightened. He had always wanted a Lego pirate ship, but he had never felt comfortable buying one for himself, and nobody else had ever thought to buy him one. It was, he suspected, the tragedy of his life. "What if the kids catch us?" "They're children, Bill. They can't even tie their shoes." "The Henderson boy has a karate belt." Molly paused. She had not known about the karate belt. She looked down at the map, at the smiling crayon sun, which suddenly seemed to be smiling at her rather than with her. "What color?" she asked. "Yellow." "That's fine. Yellow's nothing." "He's six, Molly. A six-year-old with a yellow belt is basically a ninja." Somewhere down the street, a child shrieked with joy, or possibly battle. Molly folded the map very carefully and put it in her pocket. "We'll bring snacks," she said. "Nobody attacks the man with the snacks. That's basic military strategy."
created_at"2026-09-23T17:53:01.31Z" 9/23/2026, 5:53:01 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency38178
moderation_latency(null)
generation_time42430
tokens_prompt75
tokens_completion1370
native_tokens_prompt95
native_tokens_completion3967
native_tokens_completion_images(null)
native_tokens_reasoning2907
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"
usage0.07972
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790185981-HuF3e3zNeLESyHo6wzk8"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790185981-42ccfeuOlXbnL6sAvquc"
upstream_id"msg_011CfLoEe6LwTKweUfgm3wgW"
provider_responses
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endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLoEe6LwTKweUfgm3wgW"
is_byokfalse
latency1852
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.07972
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
60.28% Matches word count n/a
neededCleanfalse
words515
99.46% Dialogue to Total Word Ratio
Ratio: 29.67%, Deviation: 0.33%
neededCleanfalse
wordsTotal519
wordsDialogue154
79.8701%