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Run: 2026-07-09-01KX40C4HK7SKCWNYN1WST4NEG
Run Details
Model:
GPT-5.6 Sol
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
20.3s
Cost:
$0.029280
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.06%
Dialogue to Total Word Ratio
(details)
0.0290%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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
Rain freckled the bakery window while Molly flattened a crayon drawing of the community hall across the table. Bill stared at it, then at her. “That’s a dinosaur.” “It’s a floor plan.” “It has teeth.” “The teeth are windows.” “The tail?” “Emergency exit.” “And the volcano?” “Chocolate fountain.” Bill leaned closer. “Why is everything labeled in glitter?” “I borrowed this from the birthday girl.” “You stole from a child before we’ve even begun?” “I borrowed a drawing. Keep your moral outrage proportional.” “We’re planning to steal her presents.” “We’re planning to infiltrate a party and relocate presents of suspicious provenance.” “They’re from a toy shop.” “Exactly. Suspiciously cheerful.” A waitress passed. Molly covered the map with a menu. Bill whispered, “Remind me why we’re doing this.” “Because the presents contain diamonds.” “All of them?” “One of them.” “And we steal all of them because?” “We don’t know which one.” “What does the diamond present look like?” “Wrapped.” “Excellent detective work.” “In silver paper.” Bill tapped the drawing. “The invitation says pirate theme. We go dressed as pirates.” “Too obvious.” “It’s a pirate party.” “Everyone will be watching the pirates.” “Everyone will be pirates.” “Precisely. We go as magicians.” “Why?” “Children trust magicians.” “No, they heckle magicians.” “Only weak magicians.” “Can you do magic?” Molly produced a coin from behind his ear. “That was my coin.” “See? Astonishment.” “That was rent.” “You need larger dreams.” The rain thickened. Bill rotated the drawing. “Where are the presents?” “Here, beside the volcano.” “You mean chocolate fountain.” “That’s what I said.” “You said fountain earlier.” “Stay focused.” “How do we remove thirty parcels unnoticed?” “The Great Vanishing Gift Trick.” “That isn’t a trick. That’s a crime with a title.” “We wheel in a magic cabinet, load the gifts, drop through the false bottom, and leave.” “Leave where?” “The kitchen.” “Why does the cabinet’s false bottom lead to the kitchen?” “We position it over the dumbwaiter.” “The hall has a dumbwaiter?” Molly pointed to a purple octopus. “That’s a dumbwaiter?” “According to the janitor.” “It has eight legs.” “He was describing it from memory.” Bill rubbed his face. “Who hired us?” “Mr. Grindle.” “The children’s entertainer?” “The jewel smuggler.” “He makes balloon giraffes.” “People contain multitudes.” A gust rattled the glass. Molly slid him a photograph: a diamond nestled inside a plastic tiara. Bill sighed. “Suppose we get in. Who distracts the parents?” “You.” “How?” “Balloon animals.” “I can’t make balloon animals.” “You can make sausages.” “Every balloon animal is initially a sausage.” “Philosophy won’t distract them.” “It might. Parents are exhausted.” Molly folded the map. “At two o’clock, the cake arrives. At two-oh-five, I announce the magic show. At two-ten, you release the rabbits.” “We have rabbits?” “We will.” “Where from?” “Petting zoo next door.” “We’re stealing rabbits too?” “Borrowing.” “You’ve become very flexible about verbs.” “At two-eleven, confusion. At two-twelve, presents into cabinet. At two-thirteen, we descend by dumbwaiter.” “With thirty presents?” “And rabbits, potentially.” “Potentially?” “Rabbits reject timetables.” Bill examined the photograph again. “What if the diamond isn’t there?” “Then we return the gifts.” “To the children?” “Of course.” “You do have principles.” “I have storage limitations.” “And if we find it?” “We keep the diamond and return the rest.” “How?” “Second magic show.” “No child will believe the same trick twice.” “They’re children, Bill.” “They watch online videos. They’ll analyze us frame by frame.” Molly stood, buttoning her coat. “Then smile.” “Why?” “Every great robbery needs charm.” “And every terrible robbery?” “Rabbits.” Outside, thunder rolled. Bill followed her reluctantly. “One last question.” “No.” “What are our magician names?” Molly smiled. “The Magnificent Molly and her assistant, Wallet.” “Bill.” “Wallet has mystery.” “Wallet gets paid.” “If Wallet behaves.” “And the dinosaur?” “Still a floor plan.” “It’s wearing a party hat.” “Security system.” Bill stopped beneath the awning. “I hate children’s parties.” “Good. You’ll blend in with the parents.”
created_at
"2026-07-09T17:56:25.287Z"
7/9/2026, 5:56:25 PM
model
"openai/gpt-5.6-sol-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
963
moderation_latency
(null)
generation_time
20194
tokens_prompt
77
tokens_completion
1486
native_tokens_prompt
66
native_tokens_completion
965
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
0.02928
router
(null)
provider_responses
0
endpoint_id
"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id
"resp_02f67c89884f39da016a4fe0c961b88190b445846e6ac7a1b1"
is_byok
false
latency
460
model_permaslug
"openai/gpt-5.6-sol-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-1783619785-lJ4MfAbs9LXSrvmsOMP3"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783619785-a5dEPkwBzNhmW8YPEP4m"
upstream_id
"resp_02f67c89884f39da016a4fe0c961b88190b445846e6ac7a1b1"
total_cost
0.02928
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
0.00%
Matches word count
n/a
neededClean
false
words
646
0.06%
Dialogue to Total Word Ratio
Ratio: 82.21%, Deviation: 12.21%
neededClean
false
wordsTotal
652
wordsDialogue
536
0.0290%