Run: 2026-06-01-01KT1HB1WC0P7QGXJ4Q0RSWSWX

Run Details

Duration:
10.2s
Cost:
$0.013065
Provider:
Anthropic

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
66.12% Dialogue to Total Word Ratio (details)
83.0529% 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
"So we're really doing this?" Bill asked. "We're really doing this," Molly said. "Stealing presents. From children." "From spoiled children." "How do you know they're spoiled?" "It's a birthday party, Bill. Nobody throws a party for a humble kid." "That's not—okay, what's the plan?" "You dress as the clown. I'm the magician." "Why do you get to be the magician?" "Because I can do card tricks." "I can do card tricks!" "Bill, you dropped the whole deck at Denny's last week." "That was nerves." "Anyway, while you're juggling, I make the presents disappear." "Into what?" "My magic trunk. Big enough for forty gift bags." "Forty? How many kids are coming?" "Twelve." "Twelve kids have forty presents?" "It's the Hendersons. Rich. Overcompensating." "I feel bad already." "Bill." "What? They're children, Molly. Little tiny children with little tiny faces." "Those little tiny faces have iPads worth more than your car." "...How many iPads?" "At least six." "Okay, I'm in. But I'm not wearing the clown nose." "You're wearing the clown nose." "It squeaks!" "That's the point. Distraction." "Fine. But if one kid cries, we abort." "Deal." "And we leave the cake." "...Why would we take the cake?" "I just want the cake, Molly."
created_at"2026-06-01T12:08:06.802Z" 6/1/2026, 12:08:06 PM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1637
moderation_latency(null)
generation_time10208
tokens_prompt77
tokens_completion367
native_tokens_prompt93
native_tokens_completion504
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"
usage0.013065
router(null)
provider_responses
0
endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_01EbuSeVXQ2WUDMS1vWKnaBg"
is_byokfalse
latency1637
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-1780315686-ciuBJveDxCKEKemEFJSz"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1780315686-jYgNADU6S0gbUdJQU9Rd"
upstream_id"msg_01EbuSeVXQ2WUDMS1vWKnaBg"
total_cost0.013065
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
66.12% Dialogue to Total Word Ratio
Ratio: 98.02%, Deviation: 8.02%
neededCleanfalse
wordsTotal202
wordsDialogue198
83.0529%