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Run: 2026-07-09-01KX4005HS5APPXFX5PMXM1HPC
Run Details
Model:
GPT-5.6 Luna
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
374
moderation_latency
(null)
generation_time
2410
tokens_prompt
77
tokens_completion
515
native_tokens_prompt
66
native_tokens_completion
343
native_tokens_completion_images
0
native_tokens_reasoning
0
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
service_tier
"default"
usage
0.002124
router
(null)
provider_responses
0
endpoint_id
"eebea444-34a5-4642-a766-cb319471d33a"
id
"resp_03574893ecde9914016a4fdf41299c8194baff97500948c58f"
is_byok
false
latency
207
model_permaslug
"openai/gpt-5.6-luna-20260709"
provider_name
"OpenAI"
status
200
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_cost
0.002124
cache_discount
(null)
upstream_inference_cost
0
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
neededClean
false
words
218
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
221
wordsDialogue
221
35.8951%