Run: 2026-07-25-01KYCPTKHY1YAC1RMJKXJP7RSP

Run Details

Duration:
11.1s
Cost:
$0.012715
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
98.71% Matches word count (details)
65.34% Dialogue to Total Word Ratio (details)
82.0256% 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
"So we walk in dressed as clowns," said Bill. "We walk in dressed as clowns." "Nobody questions a clown at a birthday party, Molly." "Everybody questions a clown. Clowns are the most questioned people in Britain." "Name one person who's questioned a clown." "My aunt Deborah. She had a clown arrested in 1998." "For what?" "Being a clown, mostly. Look, we go in as caterers. Nobody looks twice at a woman holding a tray." "I don't want to hold a tray." "You'll hold a tray, Bill, and you'll like it." "And then what? We just stroll out with forty presents under our arms?" "We take the bin bags. Every party has bin bags. Nobody stops a person carrying rubbish." "That's actually not stupid." "Thank you." "It's mildly stupid. It's the good kind of stupid." "The presents go in the bags, the bags go in the van, the van goes to Uncle Ray's lock-up." "Ray's dead, Molly." "Ray's lock-up isn't." "And if a child sees us?" "Children are unreliable witnesses. Everyone knows that." "That's a horrible thing to say." "It's a factual thing to say." "It's both," said Bill. "Fine. But I'm wearing the clown nose." "Wear the nose." "Under the caterer's hat." "Bill." "It's for luck."
created_at"2026-07-25T13:18:25.349Z" 7/25/2026, 1:18:25 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2597
moderation_latency(null)
generation_time11038
tokens_prompt75
tokens_completion314
native_tokens_prompt93
native_tokens_completion490
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"
service_tier"default"
usage0.012715
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNqmFH4VFwrKGeGrdhma"
is_byokfalse
latency2597
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-1784985505-IfxkiQj9XR2z0ECIxBTN"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784985505-4YbBQBpjSFpi17u6PquM"
upstream_id"msg_011CdNqmFH4VFwrKGeGrdhma"
total_cost0.012715
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
98.71% Matches word count n/a
neededCleanfalse
words206
65.34% Dialogue to Total Word Ratio
Ratio: 98.08%, Deviation: 8.08%
neededCleanfalse
wordsTotal208
wordsDialogue204
82.0256%