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Run: 2026-04-24-01KQ0PTEW723YQZ4PVD8VS3DZP
Run Details
Model:
GPT-5.5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
25.0s
Cost:
$0.047040
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
97.40%
Dialogue to Total Word Ratio
(details)
98.6981%
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
Molly unfolded the crayon map. “Bill, the target is at three. Balloons, cake, twelve sticky witnesses.” “Twelve? I only brought eleven fake mustaches.” “They’re children.” “Exactly. Suspicious little detectives.” “Our entry?” “The dog flap.” “You got stuck in a cat calendar last Thursday.” “I was wearing the diamond hat.” “We’re not stealing hats. We’re stealing presents.” “Technically, liberating unidentified boxes.” “Molly, one of them says ‘For Timmy, love Grandma.’” “Grandma should have used a stronger safe.” Bill peered through the hedge. “There’s a clown.” “Inside man?” “Outside clown. He’s making giraffes.” “Then we wait until cake. Everyone looks at cake.” “I look at cake.” “That’s why you’re lookout.” “What if Timmy cries?” “We leave him the loudest toy.” “That’s not kindness. That’s warfare.” “Fine, we take only the boring presents: socks, encyclopedias, wooden puzzles.” “Children deserve disappointment naturally, not professionally.” Molly sighed. “Bill, are you going soft?” “No. I’m going birthday ethical.” “So what’s the plan?” “We sneak in, add better presents, eat cake, and steal the clown’s bicycle.” “The clown has a bicycle?” “He will, once I assemble it from balloon animals.” “Molly, that is ridiculous.” “It’s a children’s party, Bill; ridiculous is the dress code. Bring sprinkles and helmets.”
created_at
"2026-04-24T21:37:34.607Z"
4/24/2026, 9:37:34 PM
model
"openai/gpt-5.5-20260423"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
22444
moderation_latency
(null)
generation_time
24814
tokens_prompt
77
tokens_completion
417
native_tokens_prompt
66
native_tokens_completion
1557
native_tokens_completion_images
0
native_tokens_reasoning
1242
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"
usage
0.04704
router
(null)
provider_responses
0
endpoint_id
"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id
"resp_064ee82b4e5502dc0169ebe29eb438819593825fcf047e0b5c"
is_byok
false
latency
379
model_permaslug
"openai/gpt-5.5-20260423"
provider_name
"OpenAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777066654-KheD6cHe4oFNUxYDqBJu"
session_id
(null)
api_type
"completions"
id
"gen-1777066654-qFPsKg0Ws1AHaeYM9alO"
upstream_id
"resp_064ee82b4e5502dc0169ebe29eb438819593825fcf047e0b5c"
total_cost
0.04704
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
201
97.40%
Dialogue to Total Word Ratio
Ratio: 94.03%, Deviation: 4.03%
neededClean
false
wordsTotal
201
wordsDialogue
189
98.6981%