Run: 2026-05-29-01KSSJEQQS17JQW98EDKWDNCQF

Run Details

Duration:
10.7s
Cost:
$0.014815
Provider:
Anthropic

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
50.0000% 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 blueprints across the table, smoothing them with reverent care. They were drawn in crayon. "The bouncy castle is our entry point," she said, tapping it. "Security's lax around the inflatables." Bill squinted. "Why's the cake circled in red?" "That's the diversion. While they're singing, we slip in through the ball pit and grab the gift table." "There's a clown," he whispered, pointing. "I hate clowns, Molly." "Everyone hates clowns. That's why nobody watches them. He's perfect cover." Bill rubbed his temples. "We're forty-two years old. We rob banks. Why are we stealing a six-year-old's presents?" "Because," Molly said, eyes gleaming, "nobody suspects the catering staff. And little Timothy's parents are loaded. There's a PlayStation in that pile. Possibly two." "And the piƱata?" "Insurance. We bust it open, candy goes everywhere, chaos erupts, and we walk out with the loot disguised as party favors." Bill considered this for a long, troubled moment. "What if they make us wear name tags?" "Then we wear name tags," she snapped. "Honestly, Bill, where's your professionalism?" "My professionalism doesn't usually involve juice boxes and face painting." Molly stood, slinging her bag over her shoulder. "Grab the balloons. We're going to a party."
created_at"2026-05-29T09:53:40.609Z" 5/29/2026, 9:53:40 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3258
moderation_latency(null)
generation_time10708
tokens_prompt77
tokens_completion396
native_tokens_prompt93
native_tokens_completion574
native_tokens_completion_images(null)
native_tokens_reasoning53
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"
usage0.014815
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_01DuotXGuFnAV2kvg84E8Yym"
is_byokfalse
latency1680
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-1780048420-u63NoFZp5BLS03nWPyEN"
session_id(null)
api_type"completions"
id"gen-1780048420-KDvNKXDY8O42UnKPUv1j"
upstream_id"msg_01DuotXGuFnAV2kvg84E8Yym"
total_cost0.014815
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
0.00% Dialogue to Total Word Ratio
Ratio: 74.38%, Deviation: 24.38%
neededCleanfalse
wordsTotal203
wordsDialogue151
50.0000%