Run: 2026-07-25-01KYCR2T6B6VSAJ1EJ1A74VR2G

Run Details

Duration:
11.6s
Cost:
$0.014590
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
0.30% Dialogue to Total Word Ratio (details)
49.8364% 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 hood of the van. It was a paper placemat from the pizza parlor, but it had a maze on it, and she felt that counted. "Bouncy castle here," she said, tapping a grease stain. "PiƱata here. Presents stacked on the folding table, northeast corner, guarded by grandmothers." "How many grandmothers?" "Four. Possibly five. One of them knits, so assume she's armed." Bill chewed his thumbnail. "And we just walk in?" "We walk in as entertainment. You're the clown." "Why am I always the clown?" "Because you have the face for it, Bill, and I mean that with love." Molly handed him a red foam nose that had clearly been chewed by something. "I'll be the magician. Magicians get a table, a cloth, and nobody questions a large black bag." "What about the birthday boy?" "Theodore. Turns seven at three-fifteen. He's allergic to strawberries, afraid of mimes, and has a metal detector on his wish list, which I find personally insulting." Bill squeezed the nose onto his face and exhaled through his mouth. "This feels wrong." "It's a *heist*, Bill. Wrong is the genre." "No, I mean the nose. It's damp." Molly folded the placemat. "Then wear it proudly. Showtime."
created_at"2026-07-25T13:40:22.866Z" 7/25/2026, 1:40:22 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5153
moderation_latency(null)
generation_time11460
tokens_prompt75
tokens_completion357
native_tokens_prompt93
native_tokens_completion565
native_tokens_completion_images(null)
native_tokens_reasoning48
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"
usage0.01459
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNsSL5jrs1R1JhyDbYXD"
is_byokfalse
latency2686
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-1784986822-TfLugRWPmkjlLeb2gFJL"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784986822-h6xOX5L9G1aKnmUMS1Aq"
upstream_id"msg_011CdNsSL5jrs1R1JhyDbYXD"
total_cost0.01459
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
99.38% Matches word count n/a
neededCleanfalse
words205
0.30% Dialogue to Total Word Ratio
Ratio: 65.53%, Deviation: 15.53%
neededCleanfalse
wordsTotal206
wordsDialogue135
49.8364%