Run: 2026-09-29-01M3P2DW389Z08Q2ZM110BD4ZH

Run Details

Duration:
8.7s
Cost:
$0.010540
Provider:
Claude Platform on AWS

Evaluation summary

Score Evaluator
Details Link
43.38% Matches word count (details)
53.29% Dialogue to Total Word Ratio (details)
48.3340% 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
"Okay, Bill, repeat the plan," Molly whispered. "We sneak into Tommy Pickett's sixth birthday party, grab every present, and leave before the cake." "Why before the cake?" "Because last time you said cake makes me sentimental." "You cried at a graduation we were robbing, Bill." "That tuba solo was beautiful!" "Focus. I'm the clown. You're the bouncy castle inspector." "Nobody inspects bouncy castles, Molly." "Exactly, so nobody will question you. The presents are stacked by the unicorn piñata. When I honk my nose, you grab the bags." "And if a child asks who I am?" "Say you're from the Department of Inflatables." "That's not a real department." "Bill, they're six. They think the moon follows their car." "Fair. What if the parents get suspicious?" "I'll juggle. Nobody suspects a juggler. They're too busy praying I don't drop the knives." "You're juggling knives?" "Butter knives. Mostly." "Molly, this feels wrong." "It's a heist, Bill. It's supposed to feel wrong." "No, I mean the piñata is staring at me." "It's a unicorn, Bill. Get it together." "Its eyes follow me." "Honk incoming. Three, two, one..."
created_at"2026-09-29T07:52:50.032Z" 9/29/2026, 7:52:50 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3926
moderation_latency(null)
generation_time8685
tokens_prompt75
tokens_completion423
native_tokens_prompt95
native_tokens_completion1035
native_tokens_completion_images(null)
native_tokens_reasoning578
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"
usage0.01054
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668370-p5OzSvtDWUHNZLN8INEk"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668370-3l9leXJ45fUBlTy2Kibs"
upstream_id"msg_011CfXNKbBVTUnjJXSu2bTNe"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNKbBVTUnjJXSu2bTNe"
is_byokfalse
latency814
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.01054
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
43.38% Matches word count n/a
neededCleanfalse
words183
53.29% Dialogue to Total Word Ratio
Ratio: 98.91%, Deviation: 8.91%
neededCleanfalse
wordsTotal183
wordsDialogue181
48.3340%