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Run: 2026-07-09-01KX41H64EF48YGDTYTFCHSZ2K
Run Details
Model:
GPT-5.6 Luna (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
22.2s
Cost:
$0.016818
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
99.92%
Matches word count
(details)
97.24%
Dialogue to Total Word Ratio
(details)
98.5815%
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, remind me why we’re robbing a children’s party.” “Because the invitation says presents, and I need a goal.” “Your career coach is a pigeon.” “He has excellent instincts.” “The target is the mountain of wrapped boxes.” “Correction: treasure mountain.” “Correction: birthday presents. We are stealing from children.” “Temporarily relocating gifts. Then we’ll return them after the cake.” “With what?” “An apology.” “Your apologies have glitter in them.” “That was one time.” “Three times. Also, why are you wearing a clown suit?” “Disguise.” “You look like a clown who lost a bet.” “Perfect. Nobody suspects a clown.” “Everyone suspects a clown.” “Then nobody will suspect the actual thieves.” “Plan?” “Blend in, compliment the balloons, grab the presents, and escape through the bouncy castle.” “Bouncy castles have entrances, not exits.” “I’ll make an exit.” “You mean fall over.” “Same result, better publicity.” A child appeared behind them. “Are you the entertainment?” “Absolutely.” “Do something!” “Ladies and gentlemen, behold: the world’s worst magician!” The child applauded. “Can you make presents disappear?” Molly grabbed Bill’s sleeve. “Run!” “After you, partner.” “Why me?” “Because you’re carrying the apology.” “Bill, this sack is full of glitter!” “Excellent. We’ll leave a trail for the police.” “Bill!” “What? It’s festive.”
created_at
"2026-07-09T18:16:39.324Z"
7/9/2026, 6:16:39 PM
model
"openai/gpt-5.6-luna-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2100
moderation_latency
(null)
generation_time
22058
tokens_prompt
77
tokens_completion
850
native_tokens_prompt
66
native_tokens_completion
2792
native_tokens_completion_images
0
native_tokens_reasoning
2477
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
0.016818
router
(null)
provider_responses
0
endpoint_id
"eebea444-34a5-4642-a766-cb319471d33a"
id
"resp_0a3f485777d2c182016a4fe58772b08193883b21ea15d9e3e4"
is_byok
false
latency
309
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-1783620999-piDJBSQl5wliJbQp3U36"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783620999-3JKU5HwqTYYEWBNOwvFZ"
upstream_id
"resp_0a3f485777d2c182016a4fe58772b08193883b21ea15d9e3e4"
total_cost
0.016818
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
99.92%
Matches word count
n/a
neededClean
false
words
203
97.24%
Dialogue to Total Word Ratio
Ratio: 94.09%, Deviation: 4.09%
neededClean
false
wordsTotal
203
wordsDialogue
191
98.5815%