Run: 2026-07-09-01KX40SWEMCYKYG4WM6KJAJA20

Run Details

Duration:
9.5s
Cost:
$0.009018
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
0.08% Dialogue to Total Word Ratio (details)
43.2320% 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
Molly adjusted her birthday-party disguise. “Bill, are you sure this is our best plan?” “Absolutely,” Bill whispered. “We enter disguised as entertainers, locate the present table, and leave with everything before anyone notices.” “Everything?” “Every wrapped box,” he said. “The ones first.” Molly glanced through the hedge. “There’s a clown, a magician, and twelve children armed with frosting.” “Children are observant,” Bill admitted. “But they respect authority. I’ll be Captain Giftgrabber, you be Lieutenant Ribbon.” “Those ranks sound invented.” “They’re invented.” A balloon popped. Molly flinched. “What if we get caught?” “We improvise. If challenged, announce an emergency present inspection.” “By whom?” “The International Society of Present Inspectors.” “That’s not real.” “Neither is your mustache,” Bill replied. “Yet children believe it.” Molly touched the mustache. “It’s shedding.” “Then call it festive.” They crept toward the gate. A girl opened it. “Are you the thieves?” Bill froze. “We prefer ‘temporary gift relocators.’” “You can’t steal our presents,” she said. “They’re for the shelter nearby.” Molly removed her mustache. “Bill, new plan?” “Absolutely,” he said. “We steal the clown’s cake, deliver the presents, and accept payment in frosting.” The children cheered.
created_at"2026-07-09T18:03:55.742Z" 7/9/2026, 6:03:55 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency7714
moderation_latency(null)
generation_time9093
tokens_prompt77
tokens_completion526
native_tokens_prompt66
native_tokens_completion1492
native_tokens_completion_images0
native_tokens_reasoning1192
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"completed"
service_tier"default"
usage0.009018
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_027669f62d1a1926016a4fe28bd32081939861f8861ac8c44b"
is_byokfalse
latency248
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620235-SjZDepMiPRBlnS0EaTpc"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620235-4qhoz9j6wu5I4kWo76Pw"
upstream_id"resp_027669f62d1a1926016a4fe28bd32081939861f8861ac8c44b"
total_cost0.009018
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words189
0.08% Dialogue to Total Word Ratio
Ratio: 73.68%, Deviation: 16.32%
neededCleanfalse
wordsTotal190
wordsDialogue140
43.2320%