Run: 2026-07-25-01KYCQT44R8KB5KABFM76H18Q3

Run Details

Duration:
12.6s
Cost:
$0.014140
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
1.55% Dialogue to Total Word Ratio (details)
50.6487% 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 Dino Pizza, but it had a maze on it, so she felt it counted. "Bouncy castle here," she said, stabbing a crayon at the corner. "Present table here. Cake, and therefore chaos, here." Bill squinted. "Why is there a triceratops?" "That's the clown. I ran out of blue." "And the presents are just sitting out? Unguarded?" "Guarded by grandmothers," Molly said grimly. "Six of them. Folding chairs, hard candy, eyes like hawks who've raised four sons." Bill swallowed. "So what's my job?" "You're the entertainment. Balloon animals, twenty minutes, hold their attention while I load the wagon." "I only know how to make a snake." "Then make forty snakes and call it a nature documentary." He tugged at his rented magician's collar, which smelled faintly of another man's despair. "Molly, these are children. Turning eight. Little Declan's whole year peaks today." "Bill." She gripped his shoulders. "Declan is getting nine gifts. Nine. Statistically, four are socks. We're editing his memories down to the good ones." "That's beautiful." "It's larceny." "Can't it be both?" Bill asked, and honked his nose experimentally.
created_at"2026-07-25T13:35:38.144Z" 7/25/2026, 1:35:38 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3362
moderation_latency(null)
generation_time12519
tokens_prompt75
tokens_completion365
native_tokens_prompt93
native_tokens_completion547
native_tokens_completion_images(null)
native_tokens_reasoning54
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"
usage0.01414
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNs5KpXYay4BPVtJaTGW"
is_byokfalse
latency1565
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-1784986538-ovxhVAnKmXsoQp0w9edJ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784986538-aT6UmsOUYtfWkurLSxSb"
upstream_id"msg_011CdNs5KpXYay4BPVtJaTGW"
total_cost0.01414
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
99.74% Matches word count n/a
neededCleanfalse
words196
1.55% Dialogue to Total Word Ratio
Ratio: 64.29%, Deviation: 14.29%
neededCleanfalse
wordsTotal196
wordsDialogue126
50.6487%