Run: 2026-09-23-01M37Q6QZP816XK0142FM8PWCJ

Run Details

Duration:
15.4s
Cost:
$0.024880
Provider:
Claude Platform on AWS

Evaluation summary

Score Evaluator
Details Link
95.99% Matches word count (details)
94.64% Dialogue to Total Word Ratio (details)
95.3120% 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
"Right, Bill. Saturday, two o'clock. Little Timmy Pemberton turns six." "Six? That's a lot of presents." "Forty-three RSVPs. I checked the Facebook." "How do we get in?" "Disguise. You're the clown." "Why am I always the clown?" "Because you already own the shoes." "Those are orthopedic, Molly." "They're red and enormous. Commit to it." "Fine. What are you?" "The magician. I make things disappear. Specifically, the gift table." "And the parents won't notice?" "Parents at a kids' party notice nothing. They're hiding in the kitchen drinking wine and pretending to enjoy themselves." "What about the kids?" "Distraction. You do balloon animals." "I can only do a snake." "Then do forty-three snakes. Very slowly." "What if a child sees you with the presents?" "I'll tell them it's part of the trick." "And the bouncy castle?" "What about it?" "I'm just saying, if there's a bouncy castle, I'm going on it." "Bill, we are professionals." "Professionals can bounce." "One bounce. After the presents are in the van." "Deal." Bill paused. "Molly, what if one of the presents is a puppy?" She stared at him for a long moment. "Then we keep the puppy, obviously."
created_at"2026-09-23T18:07:20.076Z" 9/23/2026, 6:07:20 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5687
moderation_latency(null)
generation_time15386
tokens_prompt75
tokens_completion442
native_tokens_prompt95
native_tokens_completion1225
native_tokens_completion_images(null)
native_tokens_reasoning756
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"
usage0.02488
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790186840-IOiAW8kM4ShDG9bfJp2y"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790186840-5pGY7kWiq75eAdqJxkY7"
upstream_id"msg_011CfLpKwe2wx3Km2Dn2omHw"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLpKwe2wx3Km2Dn2omHw"
is_byokfalse
latency1792
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.02488
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
95.99% Matches word count n/a
neededCleanfalse
words192
94.64% Dialogue to Total Word Ratio
Ratio: 94.85%, Deviation: 4.85%
neededCleanfalse
wordsTotal194
wordsDialogue184
95.3120%