Run: 2026-06-01-01KT1HH4QKG9HXBEVHB9PZWTYH

Run Details

Duration:
10.2s
Cost:
$0.014415
Provider:
Anthropic

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9920% 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 unfurled the blueprint across the hood of their getaway minivan, smoothing the crayon-stained paper with trembling hands. "Right," she said. "The bouncy castle is our weak point. Security's distracted, sugar's flowing, nobody's watching the gift table." Bill squinted at the diagram. "Why is there a clown drawn in the corner?" "That's not a clown, Bill. That's the threat assessment. Reginald the Magnificent does balloon animals at three o'clock sharp." "And we hit the presents during the balloon animals?" "We hit the presents," she confirmed, "during the balloon animals." He chewed his thumbnail nervously. "I don't love this. Last time we robbed a birthday party, I got cake in my mustache and a four-year-old bit my ankle." "That four-year-old," Molly said gravely, "is now their head of operations. We respect the threat." "What's the extraction plan?" "We wheel the loot out in the piƱata. Big paper donkey, nobody questions it." Bill brightened considerably. "Genius. And if anyone stops us?" "You're the magician's assistant. I'm the caterer. We improvise." "I can't do magic, Molly." She zipped up her ski mask and grinned. "Neither can Reginald, mate. That's why we'll fit right in. Now grab the donkey and let's go ruin a child's afternoon."
created_at"2026-06-01T12:11:26.329Z" 6/1/2026, 12:11:26 PM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2886
moderation_latency(null)
generation_time9999
tokens_prompt77
tokens_completion388
native_tokens_prompt93
native_tokens_completion558
native_tokens_completion_images(null)
native_tokens_reasoning49
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"
usage0.014415
router(null)
provider_responses
0
endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_013zZNrxUsin8pyuFptJzdJH"
is_byokfalse
latency1183
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780315886-Ren7W1EvZaKWXknyQWYN"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1780315886-zLiuHUAbxOKGQr6hp8aG"
upstream_id"msg_013zZNrxUsin8pyuFptJzdJH"
total_cost0.014415
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words202
0.00% Dialogue to Total Word Ratio
Ratio: 77.29%, Deviation: 27.29%
neededCleanfalse
wordsTotal207
wordsDialogue160
49.9920%