Run: 2026-07-09-01KX4005HS5APPXFX5PMXM1HPC

Run Details

Duration:
2.6s
Cost:
$0.002124
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
35.00% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
35.8951% 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
“Bill, why are we hiding in a shrub?” “Because the invitation says ‘garden party,’ Molly.” “It also says ‘Teddy Bear Picnic.’” “Exactly. We’re infiltrating a highly organized bear-themed event.” “Those children look six.” “Never underestimate a six-year-old with frosting and a whistle.” “Our objective is the presents. We enter, locate the gift table, and leave.” “Couldn’t we simply buy presents?” “Bill, we are thieves.” “Right. Professional thieves. Professionals don’t wear matching dinosaur hats.” “The hats are camouflage.” “They have sequins.” “Children trust sequins.” “Do children trust suspicious adults carrying a sack?” “Only if the sack has balloons.” “Why does your balloon say ‘Happy Retirement, Gerald’?” “Improvisation.” “Here’s the plan: I distract the parents with a dramatic faint.” “You faint like a folding chair.” “Then you steal the presents.” “I thought you were the distraction.” “You’re taller. You create more panic.” “Fine. But no grabbing anything labeled ‘Molly.’” “Obviously.” “And no taking the piñata.” “It’s technically a present.” “It’s full of candy, not presents.” “Candy is currency.” “Quiet. The clown is watching us.” “Is that a clown or a detective?” “Both, possibly.” “Abort?” “We haven’t even entered.” “Then it’s a pre-abort.” “Wait. The birthday girl is handing gifts to everyone.” “She’s stealing from herself?” “No, Bill. She’s giving.” “That’s incredibly inefficient.” “Perhaps we should leave.” “Agreed. Before generosity spreads.”
created_at"2026-07-09T17:49:53.089Z" 7/9/2026, 5:49:53 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency374
moderation_latency(null)
generation_time2410
tokens_prompt77
tokens_completion515
native_tokens_prompt66
native_tokens_completion343
native_tokens_completion_images0
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"completed"
service_tier"default"
usage0.002124
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_03574893ecde9914016a4fdf41299c8194baff97500948c58f"
is_byokfalse
latency207
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-1783619393-hvKUYtrG252LVt5oJ1GD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619393-djumS7gLyrUoNDmrijQG"
upstream_id"resp_03574893ecde9914016a4fdf41299c8194baff97500948c58f"
total_cost0.002124
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
35.00% Matches word count n/a
neededCleanfalse
words218
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal221
wordsDialogue221
35.8951%