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Run: 2026-04-24-01KQ0NXBAZVNAT8AHM4WJ6MMDE
Run Details
Model:
GPT-5.5
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
9.0s
Cost:
$0.009360
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
97.63%
Matches word count
(details)
66.67%
Dialogue to Total Word Ratio
(details)
82.1467%
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, explain again why we’re robbing a seven-year-old?” “Because, Bill, seven-year-olds receive electronics now. Tablets. Drones. Tiny cameras shaped like llamas.” “I don’t like the llama cameras. They look judgmental.” “You’re being sentimental.” “I’m being practical. Children scream. Parents tackle. Clowns bite.” “One clown bit you.” “Once was enough.” “Listen. We enter disguised as entertainers, locate the gift table, transfer presents into the collapsible magic trunk, and vanish during musical chairs.” “What if they ask us to perform?” “We perform.” “Can you juggle?” “No.” “Can you balloon-twist?” “I can make a worm.” “That’s just an uninflated balloon.” “It counts as modern art.” “Molly, these are kids. Maybe we could just steal the cake?” “The cake has no resale value.” “It has icing value.” “Focus, Bill.” “What’s my costume?” “Pirate.” “Too obvious.” “Wizard?” “Too itchy.” “Friendly dinosaur?” “I have standards.” “You once hid in a laundry hamper for six hours.” “That was tactical linen.” “Molly?” “What?” “What if there’s one really sad kid whose present we take?” “Then we don’t take that one.” “And if they’re all sad?” She sighed. “Then we steal nothing.” Bill brightened. “And cake?” “Fine. One slice.” “Best heist ever.”
created_at
"2026-04-24T21:21:40.708Z"
4/24/2026, 9:21:40 PM
model
"openai/gpt-5.5-20260423"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
795
moderation_latency
(null)
generation_time
8922
tokens_prompt
77
tokens_completion
442
native_tokens_prompt
66
native_tokens_completion
301
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"
usage
0.00936
router
(null)
provider_responses
0
endpoint_id
"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id
"resp_02ceecd61592f6180169ebdee4ccec8195810c0e714371dbe2"
is_byok
false
latency
374
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-1777065700-mLNg2SXEfsWyTSaKUgpV"
session_id
(null)
api_type
"completions"
id
"gen-1777065700-tCkkmqySV1ANLQslBbo7"
upstream_id
"resp_02ceecd61592f6180169ebdee4ccec8195810c0e714371dbe2"
total_cost
0.00936
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
97.63%
Matches word count
n/a
neededClean
false
words
193
66.67%
Dialogue to Total Word Ratio
Ratio: 97.98%, Deviation: 7.98%
neededClean
false
wordsTotal
198
wordsDialogue
194
82.1467%