Run: 2026-07-25-01KYCRN0V437DG1YYP9DXYX3QT

Run Details

Duration:
10.3s
Cost:
$0.012765
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
51.74% Dialogue to Total Word Ratio (details)
75.8681% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"Bouncy castle's the weak point," said Molly. "It's a bouncy castle, Moll. It's not a castle." "It's got turrets." "It's got a puncture, is what it's got. Focus. The presents are stacked on the trestle table by the cake." "How many?" "Twenty-two kids invited, so twenty-two presents, minus whichever child's mum forgot, plus the one from the nan who buys for the whole street." "Twenty-two and a bit. What's the birthday boy's name?" "Tobias. He's seven and he's had a difficult year, apparently." "Don't do that." "Do what?" "Humanise him, Bill. You did it with the pensioner in Croydon and I had to drive us home while you wept into a stolen tea cosy." "That was a lovely cosy." "So we go in at four, during the magician." "Why the magician?" "Because everyone's watching the magician. It's called misdirection, Bill. It's the whole point of magicians." "And what if he's rubbish?" "Then they'll all be watching the presents, won't they, out of boredom. Fine. Half three. Pass the parcel." "I love pass the parcel." "You're not playing it, you're stealing it." "Can't I do both?" "Bill." "I'll bring a gift bag. Blend in." "Bring two. There's always the nan."
created_at"2026-07-25T13:50:19.5Z" 7/25/2026, 1:50:19 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2290
moderation_latency(null)
generation_time10150
tokens_prompt75
tokens_completion346
native_tokens_prompt93
native_tokens_completion492
native_tokens_completion_images(null)
native_tokens_reasoning39
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"
usage0.012765
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNtCHr2HaitB5cBpaoJe"
is_byokfalse
latency1186
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-1784987419-xpi7OtKqCH2GBNbjNRbc"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784987419-Br4VGJsRxde1CIsjex9F"
upstream_id"msg_011CdNtCHr2HaitB5cBpaoJe"
total_cost0.012765
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
100.00% Matches word count n/a
neededCleanfalse
words199
51.74% Dialogue to Total Word Ratio
Ratio: 99.01%, Deviation: 9.01%
neededCleanfalse
wordsTotal202
wordsDialogue200
75.8681%