Run: 2026-04-24-01KQ0NXBAZVNAT8AHM4WJ6MMDE

Run Details

Model:
GPT-5.5
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

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_id182717
external_user(null)
streamedtrue
cancelledfalse
latency795
moderation_latency(null)
generation_time8922
tokens_prompt77
tokens_completion442
native_tokens_prompt66
native_tokens_completion301
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.00936
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_02ceecd61592f6180169ebdee4ccec8195810c0e714371dbe2"
is_byokfalse
latency374
model_permaslug"openai/gpt-5.5-20260423"
provider_name"OpenAI"
status200
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_cost0.00936
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
97.63% Matches word count n/a
neededCleanfalse
words193
66.67% Dialogue to Total Word Ratio
Ratio: 97.98%, Deviation: 7.98%
neededCleanfalse
wordsTotal198
wordsDialogue194
82.1467%