Run: 2026-07-25-01KYCPVD2T8AA20GYDCZNV8CJ6

Run Details

Duration:
9.7s
Cost:
$0.011915
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
98.71% Matches word count (details)
0.72% Dialogue to Total Word Ratio (details)
49.7161% 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 spread the birthday invitation across the hood of the van like a battle map. "Fourteen children," she said. "Bouncy castle at two, cake at three." Bill squinted. "And the presents?" "Foyer table. Stacked like the Christmas window at Harrods." "Molly." He set down his sandwich. "These are gifts. For a seven-year-old." "They're unguarded assets." "They're colouring books." "There's a boy in that class whose father owns a helicopter dealership. Do you think he wrapped a colouring book?" Bill considered this longer than he wanted to admit. Somewhere across the street, a clown was struggling out of a Fiat. "We'd need a distraction," he said finally. "The clown is the distraction. Nobody watches the presents when a grown man is inflating a giraffe." "And if someone sees us?" "We're the entertainment. I've got balloons." She patted her handbag. "You do a magic trick." "I don't know any magic tricks." "Then don't get seen." Bill folded the invitation, unfolded it, folded it again. "My mother," he said, "would be so disappointed." "Your mother stole a piano." "That was different. That was a piano." He sighed and reached for the door handle. "One condition. The birthday girl keeps hers." Molly smiled. "That's why I love working with you."
created_at"2026-07-25T13:18:51.487Z" 7/25/2026, 1:18:51 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1383
moderation_latency(null)
generation_time9595
tokens_prompt75
tokens_completion327
native_tokens_prompt93
native_tokens_completion458
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"
usage0.011915
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNqo7kvmfgQq8k5MkkWE"
is_byokfalse
latency1383
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-1784985531-dPCTdI7brJavmDOlEOR8"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784985531-ujPiykWZtS3CxZGCb4CR"
upstream_id"msg_011CdNqo7kvmfgQq8k5MkkWE"
total_cost0.011915
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
0.72% Dialogue to Total Word Ratio
Ratio: 64.90%, Deviation: 14.90%
neededCleanfalse
wordsTotal208
wordsDialogue135
49.7161%