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Run: 2026-07-09-01KX40T88ZGQ7SZVJK10RCX9JX
Run Details
Model:
GPT-5.6 Luna
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
4.8s
Cost:
$0.004362
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
99.38%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.6885%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 50% 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
Molly unfolded the blueprint across the kitchen table, pinning its corners beneath four suspiciously heavy cupcakes. “Here,” she whispered. “The target.” Bill leaned closer. “That’s a drawing of a dinosaur.” “It’s a floor plan disguised as a drawing of a dinosaur.” “Why does the dinosaur have a party hat?” “Camouflage.” “Why is the guest bathroom labeled ‘T-Rex Den’?” “Psychological warfare.” Bill nodded solemnly, then ate one of the cupcakes. “What’s the objective?” “Every present in the living room. We enter during the magician’s performance, avoid the parents, bypass the balloon arch, and leave through the garden gate.” “Your plan has a balloon arch?” “Unfortunately, the enemy is festive.” Molly tapped the map. “The presents are stacked beneath the birthday banner.” “How many?” “Twenty, maybe thirty.” “Any valuables?” “They’re children’s presents, Bill.” “So, no valuables.” “Some might contain electronic equipment.” “Such as?” “Toy helicopters. Tablets. A karaoke microphone.” Bill’s eyes widened. “The microphone alone could fetch—” “We are not fencing a microphone.” “We could form a band.” “We are thieves, not musicians.” “That’s what musicians say before they become thieves.” Molly reached into her coat and produced two party hats. One was blue, the other covered in glittering stars. “Disguises,” she said. Bill stared at them. “We’re infiltrating a children’s party as children?” “No. As entertainers.” “What’s my act?” “You juggle.” “I can’t juggle.” “You can learn before Saturday.” “With what?” “Oranges.” “We’re stealing presents, not joining the circus.” Molly sighed. “Fine. You’ll be the clown.” “I refuse.” “You have the face for it.” “I have the dignity for a respectable burglary.” “Your last respectable burglary ended with you trapped in a linen cupboard, wearing a hotel bathrobe.” “That was reconnaissance.” “That was Tuesday.” Bill examined the blueprint. “What about security?” “Two parents near the refreshments, one grandmother guarding the cake, and a toddler who appears to understand everything.” “The toddler is the real threat.” “I know.” “Can we distract him?” “I’ve prepared a squeaky rubber chicken.” Bill looked impressed. “You’ve thought of everything.” “I also brought disguises for the presents.” He blinked. “Why would presents need disguises?” “To make them look like catering equipment.” “Ah.” “When the magician pulls a rabbit from his hat, we move.” “What if he pulls something else?” “Then we improvise.” “What if the birthday child catches us?” “We give him the microphone.” “That’s bribery.” “That’s diplomacy.” “And if the parents catch us?” Molly folded the blueprint and slipped it away. “We tell them we’re late entertainers.” Bill put on the glittering hat. “Do I look convincing?” “You look like a disco ball lost a bet.” “Excellent. Children love confidence.” “They love balloons.” “Then let’s steal some balloons too.” Molly opened the back door. From somewhere beyond the alley came the shriek of a party horn. Bill swallowed. “Remember, Molly, no unnecessary noise.” “Of course.” He stepped on the squeaky chicken. The alley erupted with a loud, indignant honk. Molly closed her eyes. “We’re doomed.” Bill straightened his hat. “Or famous.”
created_at
"2026-07-09T18:04:07.846Z"
7/9/2026, 6:04:07 PM
model
"openai/gpt-5.6-luna-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
537
moderation_latency
(null)
generation_time
4240
tokens_prompt
77
tokens_completion
1061
native_tokens_prompt
66
native_tokens_completion
716
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
0.004362
router
(null)
provider_responses
0
endpoint_id
"eebea444-34a5-4642-a766-cb319471d33a"
id
"resp_0958e3848dfd780f016a4fe297eb7c81979c01a2c2348145ec"
is_byok
false
latency
306
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-1783620247-jXJjl1aKtozqp8Rgc34A"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783620247-hkRepcY1v4qlibhhKGqY"
upstream_id
"resp_0958e3848dfd780f016a4fe297eb7c81979c01a2c2348145ec"
total_cost
0.004362
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
99.38%
Matches word count
n/a
neededClean
false
words
495
0.00%
Dialogue to Total Word Ratio
Ratio: 74.14%, Deviation: 24.14%
neededClean
false
wordsTotal
495
wordsDialogue
367
49.6885%