Run: 2026-09-23-01M36RAPZQ7QSBD0W2EK1FJHK6

Run Details

Duration:
30.7s
Cost:
$0.001484
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
60.28% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
48.5316% 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, remind me why we’re robbing a children’s party?” “Because the presents are unattended, Bill.” “They’re guarded by six-year-olds.” “Exactly. They’re small, sugar-powered, and easily distracted by cake.” “What’s the plan?” “We enter disguised as entertainers.” “You can juggle?” “I can drop three oranges theatrically.” “That’s not juggling.” “It is if nobody asks for a second performance.” “And then?” “We announce a magic trick, put the gifts in this enormous sack, and vanish.” “Your sack says ‘World’s Best Grandma.’” “Where do I fit in?” “You’re the clown.” “I refuse.” “Then you’re the magician.” “Fine. You’re the birthday boy’s uncle.” “I don’t know the birthday boy.” “Neither does he. There are twelve children and one inflatable dinosaur.” “What if the parents catch us?” “We return everything and claim we’re professional gift inspectors.” “Is that a real job?” “It will be after tonight.” “Molly, there’s a problem.” “What?” “The presents are already leaving.” “Who’s carrying them?” “Those six-year-olds.” “Abort the heist.” “Wait. They’re taking them to the car.” “Whose car?” “Their parents’.” “So we steal the car?” “No, Bill. We’re stealing cake.” “Finally, a plan with frosting.”
created_at"2026-09-23T09:07:44.258Z" 9/23/2026, 9:07:44 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency8959
moderation_latency(null)
generation_time30651
tokens_prompt75
tokens_completion599
native_tokens_prompt66
native_tokens_completion2954
native_tokens_completion_images0
native_tokens_reasoning2666
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"
usage0.0014836
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790154464-yjegetxc8iPdo0irVMYp"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790154464-z66QPv8Eb1tFe1cPRSUO"
upstream_id"resp_081a310650d40222016ab396e0756887d1bfd9cc212d60b4f7"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_081a310650d40222016ab396e0756887d1bfd9cc212d60b4f7"
is_byokfalse
latency863
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0014836
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
60.28% Matches word count n/a
neededCleanfalse
words185
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal190
wordsDialogue190
48.5316%