Run: 2026-04-24-01KQ0MSSGAPJZ54SW6T6WVB30C

Run Details

Model:
GPT-5.5
Duration:
9.1s
Cost:
$0.009660
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.56% Dialogue to Total Word Ratio (details)
99.7804% 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 crouching behind a hedge shaped like a giraffe.” “Because, Bill, the giraffe has excellent sightlines on the bouncy castle.” “I’m not stealing from children.” “We’re not stealing from children. We’re liberating suspiciously large presents from overindulgent adults.” “That one says ‘For Timmy, love Grandma.’” “Grandma should’ve used stronger wrapping paper.” “You’re evil.” “I’m practical. Also, look at that box. Bicycle-sized.” “It could be a bicycle.” “It could be jewels disguised as a bicycle.” “At a seven-year-old’s pirate party?” “Exactly. Pirates love jewels.” Bill peered through the leaves. “There are twenty kids, two magicians, a dog in a hat, and one mother holding a clipboard like a weapon.” “Clipboard Mother is the real security.” “What’s our plan?” “We enter as entertainers.” “Molly, you bought one clown nose.” “We’ll share.” “That’s not a disguise, that’s a custody dispute.” “Fine. You be the balloon man.” “I can’t make balloons.” “Anyone can make a snake.” “I can make a disappointment.” “Perfect. Children respect honesty.” A shriek rose from the garden. Bill whispered, “The dog’s eating the cake.” Molly grinned. “Diversion.” “No.” “Yes.” “Molly.” “Bill.” “We return the presents afterward?” “Obviously.” “With apology notes?” “And we steal cake.” “Deal.”
created_at"2026-04-24T21:02:15.57Z" 4/24/2026, 9:02:15 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency775
moderation_latency(null)
generation_time8972
tokens_prompt77
tokens_completion455
native_tokens_prompt66
native_tokens_completion311
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"
usage0.00966
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_07bf846f994e324d0169ebda57a9948197ae31b88dfead931c"
is_byokfalse
latency310
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-1777064535-BTa9QNy73WQAg7szDgWL"
session_id(null)
api_type"completions"
id"gen-1777064535-PGTa2bLLxJkJIAlT8yfR"
upstream_id"resp_07bf846f994e324d0169ebda57a9948197ae31b88dfead931c"
total_cost0.00966
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words199
99.56% Dialogue to Total Word Ratio
Ratio: 92.57%, Deviation: 2.57%
neededCleanfalse
wordsTotal202
wordsDialogue187
99.7804%