Run: 2026-05-29-01KSSK87MHFXAYK33F8BYPM4WV

Run Details

Duration:
12.4s
Cost:
$0.012415
Provider:
Anthropic

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.8726% 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 spread the blueprint across the table, tapping a finger on the bouncy castle. "The presents pile up here, right next to the piƱata," she said. "We grab everything during cake time." Bill frowned, scratching his chin. "Cake time? You want us to rob a seven-year-old?" "Not just one. There'll be twenty kids. That's twenty presents, minimum." "And what's our exit strategy?" Molly grinned. "We dress as clowns. Nobody questions clowns." "I hate clowns," Bill muttered. "They're terrifying." "Exactly. The parents won't look too closely, and the kids will be too scared to chase us." Bill leaned back, arms crossed. "What about security?" "Security?" Molly laughed. "It's a birthday party, not Fort Knox. The biggest threat is a golden retriever named Biscuit." "Biscuit could be dangerous." "Biscuit is fourteen and blind in one eye." Bill considered this, then nodded slowly. "Fine. But I'm not doing balloon animals. I refuse." "You'll do whatever sells the disguise." "I draw the line at balloon animals, Molly." She slid a red foam nose across the table toward him. "You'll make a lovely poodle." Bill stared at the nose like it had personally insulted him. "This," he sighed, picking it up, "is the lowest point of my criminal career."
created_at"2026-05-29T10:07:36.089Z" 5/29/2026, 10:07:36 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4296
moderation_latency(null)
generation_time12350
tokens_prompt77
tokens_completion340
native_tokens_prompt93
native_tokens_completion478
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.012415
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_01NbhowPEdHsfJAV3M7a2xZo"
is_byokfalse
latency4239
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-1780049256-7CC5uwzTlQnEvHstNokv"
session_id(null)
api_type"completions"
id"gen-1780049256-XPDhqgU0S3fII8GTZxyl"
upstream_id"msg_01NbhowPEdHsfJAV3M7a2xZo"
total_cost0.012415
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.74% Matches word count n/a
neededCleanfalse
words204
0.00% Dialogue to Total Word Ratio
Ratio: 68.45%, Deviation: 18.45%
neededCleanfalse
wordsTotal206
wordsDialogue141
49.8726%