Run: 2026-04-24-01KPZTZSPC9GTND1265DQ0PCDZ

Run Details

Duration:
7.5s
Cost:
$0.012290
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
45.2419% 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 unrolled the blueprint across the sticky diner table, narrowly avoiding a puddle of syrup. Bill leaned in, squinting at her crayon markings. "Why is the bouncy castle labeled 'Fort Knox'?" "Because, Bill, that's where Timmy's dad stashes the good loot. The LEGO sets. The Nintendo." "We're stealing from a seven-year-old." "We're stealing from a seven-year-old's *guests*," Molly corrected, tapping the paper. "There's a difference. Morally." Bill sipped his coffee. "Is there, though?" "Look, you go in dressed as the clown. I'll handle the piƱata diversion." "I'm not being the clown again." "You have the face for it." "That's deeply hurtful." Molly sighed, pulling out a second diagram. "Fine. You're the magician. You pull presents out of the hat instead of rabbits. We're out the back door before anyone cuts the cake." "And the parents?" "Distracted. There's always one dad who brings a drone. We weaponize that." Bill set down his mug. "Molly. Be honest with me. Is this about the money, or about the fact that you weren't invited to Jessica Finkelman's birthday in 1994?" Molly's eye twitched. She rolled up the blueprint slowly. "Wear the red nose, Bill."
created_at"2026-04-24T13:31:09.401Z" 4/24/2026, 1:31:09 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency833
moderation_latency(null)
generation_time7213
tokens_prompt77
tokens_completion320
native_tokens_prompt98
native_tokens_completion472
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"
usage0.01229
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"2a27c603-17e2-4c2a-bb00-679a8aa50ae2"
is_byokfalse
latency832
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-1777037469-ax0g5V08vVer3FEtRsnd"
session_id(null)
api_type"completions"
id"gen-1777037469-ryD60sw88c5gxu8TzsYW"
upstream_id"2a27c603-17e2-4c2a-bb00-679a8aa50ae2"
total_cost0.01229
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
90.48% Matches word count n/a
neededCleanfalse
words190
0.00% Dialogue to Total Word Ratio
Ratio: 72.68%, Deviation: 22.68%
neededCleanfalse
wordsTotal194
wordsDialogue141
45.2419%