Run: 2026-04-24-01KPZTWS9PXY9K18E6884VTS05

Run Details

Duration:
16.2s
Cost:
$0.028940
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
14.30% Matches word count (details)
3.57% Dialogue to Total Word Ratio (details)
8.9369% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 sticky diner table, nudging aside a plate of half-eaten pancakes. Bill squinted at the crayon drawings. "These are the schematics?" he asked. "My niece drew them. She's seven. She's been to the house." "Molly, there's a unicorn on the roof." "That's a satellite dish. Focus, Bill." Bill traced a shaky line with his finger. "And this?" "Back entrance. Leads through the kitchen." "It says 'dragon lair.'" "That's the dad's office. He has a beard. Look, the point is, we go in through here, past the bouncy castle, grab the gift table, and we're out in ninety seconds." Bill leaned back, arms crossed. "I'm not robbing a seven-year-old, Molly." "She's turning eight. And we're not robbing her. We're relocating unopened merchandise." "That's the same thing with extra words." "Bill. Do you know what kids get at birthday parties these days? iPads. Drones. Actual gold-plated fidget spinners. Last month, some kid in Scarsdale got a pony." "We're stealing a pony?" "We're not stealing a pony, Bill, we can't fit a pony in the Civic." "Then what's the plan?" Molly pulled out a clown nose and a floppy red wig. "You're Giggles." "Absolutely not." "I'm Sparkles. I do the balloon animals." "You can't do balloon animals." "I can do a snake." "A snake is just a balloon, Molly." "It's a long balloon. That's the whole trick." She tossed him the wig. "You distract the kids with magic while I load the gifts into the van." "I don't know magic." "You know that card trick." "The one where I drop the cards and swear?" "The kids'll love it. Kids love chaos." Bill held the wig between two fingers like it was radioactive. "And the parents?" "Sheet cake. Nobody pays attention to anything when there's sheet cake." "You're basing an entire operation on sheet cake." "I'm basing it on human nature, Bill. Also piñatas. There's a piñata at two-thirty. That's our window." "Why the piñata?" "Because when that thing bursts, it's every man for himself. Kids hit the floor like it's Black Friday. Parents are filming. Grandma's in tears. Nobody's watching the gift table. We grab, we go." Bill chewed his pancake slowly. "And if we get caught?" "By who? A six-year-old? What's she gonna do, sue us?" "The dad, Molly. The dragon-lair dad." "He's a dentist." "Dentists are strong, Molly. They wrestle molars." Molly sighed and grabbed his hand across the table. "Bill. Listen. We do this one job, we're set till Christmas. Then we hit a bar mitzvah." "A bar mitzvah?" "That's where the real money is. Envelopes, Bill. Cash envelopes." Bill looked down at the crayon blueprint, at the unicorn-satellite, at the dragon-lair, at the smiling stick-figure family holding balloons. He put on the wig. "Fine. But I'm not doing the card trick." "Thank you." "And if there's a pony, we're taking the pony." "Deal."
created_at"2026-04-24T13:29:30.691Z" 4/24/2026, 1:29:30 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency852
moderation_latency(null)
generation_time15967
tokens_prompt77
tokens_completion788
native_tokens_prompt98
native_tokens_completion1138
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.02894
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"c45d1462-52e6-4901-bec9-07324a2e7824"
is_byokfalse
latency852
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777037370-1dyyCJEa0g5xLysggxG4"
session_id(null)
api_type"completions"
id"gen-1777037370-JjLh5aElIiiYeWX3zh0u"
upstream_id"c45d1462-52e6-4901-bec9-07324a2e7824"
total_cost0.02894
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
14.30% Matches word count n/a
neededCleanfalse
words479
3.57% Dialogue to Total Word Ratio
Ratio: 78.16%, Deviation: 8.16%
neededCleanfalse
wordsTotal490
wordsDialogue383
8.9369%