Run: 2026-07-25-01KYCQVYE8F1GX385560AME7D5

Run Details

Duration:
9.1s
Cost:
$0.012290
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
98.09% Dialogue to Total Word Ratio (details)
99.0380% 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," Molly said. "That's our way in." "That's not a way in. That's a way to sprain an ankle." "It abuts the fence, Bill. We go over, we land soft, we're inside the perimeter dressed as clowns." "I'm not being a clown." "You're already a clown." "I'm not being a *professional* clown, Molly. There's a difference. Clowns get hugged. Clowns get asked to make balloon giraffes." "Can you make a balloon giraffe?" "I can make a balloon sausage." "Then you're a novice clown, and nobody expects much. Now. Presents are stacked on the folding table, left of the piñata. Forty minutes into the party, they light the candles, the lights go down—" "It's two in the afternoon." "—the *mood* goes down, everyone sings, and that's ninety seconds where thirty adults are staring at a cake. We load the presents into the bin bags." "And the getaway?" "Ice cream van." "We don't have an ice cream van." "We have a van, and I have a speaker that plays 'Greensleeves.'" "Children will chase us." "Children always chase us, Bill. That's the job." "What if there's a magician?" "Then we're professionals, and we watch the trick, and *then* we steal from a seven-year-old."
created_at"2026-07-25T13:36:37.84Z" 7/25/2026, 1:36:37 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2532
moderation_latency(null)
generation_time8947
tokens_prompt75
tokens_completion327
native_tokens_prompt93
native_tokens_completion473
native_tokens_completion_images(null)
native_tokens_reasoning20
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"
usage0.01229
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNs9jEoQua9AuvwYy49u"
is_byokfalse
latency1412
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-1784986597-B6TqQgsXljUVV8xylpiE"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784986597-hAdL3R83p1idyly6N8z7"
upstream_id"msg_011CdNs9jEoQua9AuvwYy49u"
total_cost0.01229
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
99.98% Matches word count n/a
neededCleanfalse
words202
98.09% Dialogue to Total Word Ratio
Ratio: 86.27%, Deviation: 3.73%
neededCleanfalse
wordsTotal204
wordsDialogue176
99.0380%