Run: 2026-07-25-01KYCRPDN20Z29BM75Q6FX3S4P

Run Details

Duration:
22.0s
Cost:
$0.029890
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9920% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 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
The van smelled of stale crisps and ambition. Molly had the blueprints spread across the dashboard, which was really a leaflet for Bouncy Bonanza Party Hire with arrows drawn on it in eyeliner. "Right," she said. "Fourteen hundred hours. Cake comes out. Lights go off. Everyone sings. That's our window." Bill squinted at the leaflet. "That's a bouncy castle." "It's a *diagram* of a bouncy castle. The castle is our entry point. Nobody watches the castle during cake." "Molly. I'm forty-one years old and eleven stone of regret. I cannot bounce." "You don't have to bounce, you have to *traverse*." He rubbed his face with both hands. "And the presents?" "Present table. Back of the marquee, under the banner that says *Freddie is 6*. Approximately thirty units. Gift bags, boxes, one of those enormous soft toys that costs ninety quid and gets left in a hedge by Thursday." "You've cased a six-year-old." "I've cased a *revenue stream*." Molly tapped the leaflet. "Middle-class postcode, Bill. That table's got LEGO on it. Do you know what LEGO holds its value like? Gold. Better than gold. Gold doesn't come in a sealed Millennium Falcon box." Bill stared out the windscreen at the house, where a man in a polo shirt was wrestling a helium canister like it had insulted his wife. "I want it on record," he said, "that this is the lowest point of my professional life." "Lower than the bins?" "The bins had dignity. The bins were *nocturnal*." "The bins had a badger in them." "The badger and I had an understanding." He unwrapped a boiled sweet, considered it, and put it back in his pocket. "What about the mums? You've not factored in the mums." Molly went quiet. "I've factored in the mums." "Have you though." "There'll be four of them by the prosecco. That's the danger zone. But they're facing inward, Bill. Mums in a huddle face inward. It's a defensive formation, it's got no rear visibility." "And if one of them clocks us?" "You're the entertainment." Bill turned his head very slowly. "Say that again." "You're the entertainment. I bought you a waistcoat." She reached into the back and produced something purple and sequinned. "You're Mister Wobbles. You do three balloon animals, you take a bow, you walk out with a bin liner nobody questions, because clowns carry bin liners. That's just true." "Balloon animals." "You've got big hands. It's basically sausages." "I have never made a balloon animal in my life." "Then make an abstract one and tell them it's a giraffe. Children have no critical faculties, that's the whole basis of the industry." Bill held up the waistcoat. It caught the light and threw a small disco across the dashboard. "Thirty units," he said. "Thirty units. Two hours. We're home for the football." "And when the kid cries?" Molly paused, hand on the door. "He's six. He'll get more presents in September." "That's Christmas." "Exactly. Nature's insurance." She popped the door. "Come on, Mister Wobbles. Your public awaits."
created_at"2026-07-25T13:51:05.386Z" 7/25/2026, 1:51:05 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2786
moderation_latency(null)
generation_time21883
tokens_prompt75
tokens_completion821
native_tokens_prompt93
native_tokens_completion1177
native_tokens_completion_images(null)
native_tokens_reasoning55
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"
usage0.02989
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNtFfqShikrUwvGLvP6N"
is_byokfalse
latency1295
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784987465-dVCHtCjgFSUH5PDrqwpU"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784987465-8UmmAQuNffBD1fsBMm6l"
upstream_id"msg_011CdNtFfqShikrUwvGLvP6N"
total_cost0.02989
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words502
0.00% Dialogue to Total Word Ratio
Ratio: 71.94%, Deviation: 21.94%
neededCleanfalse
wordsTotal506
wordsDialogue364
49.9920%