Run: 2026-04-24-01KQ0P8EHYDK8A52X8T78E5GM0

Run Details

Duration:
10.3s
Cost:
$0.012120
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
68.10% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
52.4451% 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
“Bill, stop licking the window.” “I’m testing for alarms, Molly.” “With your tongue?” “It’s a sophisticated tongue.” “It’s a bouncy castle, not the Bank of England.” “Exactly. Nobody suspects the castle.” “Focus. At three o’clock, the magician starts sawing Uncle Kevin in half. That’s our window.” “Won’t the children notice two adults dragging sacks through the jelly station?” “Not if we’re disguised.” “As what?” “Responsible entertainers.” “Terrifying. What’s my role?” “You’re Captain Wiggles, pirate balloon artist.” “I can’t make balloons.” “You can pop them dramatically and shout, ‘Sea battle!’” “And you?” “Princess Sprinkle, gift inspector.” “That sounds official.” “I made a clipboard.” “Brilliant. What about the dog?” “The invitation says ‘friendly Labrador.’” “That means hostile rug with teeth.” “I brought sausages.” “For the dog?” “For courage. But mostly the dog.” “Which presents are we taking?” “All of them.” “Even the squishy ones?” “Especially the squishy ones. Could be cashmere.” “Children don’t get cashmere.” “Rich children get existential dread in cashmere.” “Exit plan?” “We load the presents into the catering van.” “Do we have a catering van?” “We have your scooter.” “My scooter has a basket.” “Then we steal selectively.” “So, not all the presents?” “Fine, Bill. We steal the best presents and one cupcake each.” “Two cupcakes.” “Professional criminals don’t negotiate.” “Hungry ones do.”
created_at"2026-04-24T21:27:44.463Z" 4/24/2026, 9:27:44 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2299
moderation_latency(null)
generation_time10144
tokens_prompt77
tokens_completion503
native_tokens_prompt66
native_tokens_completion393
native_tokens_completion_images0
native_tokens_reasoning65
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"
usage0.01212
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0fcd0f3656280be40169ebe0509b388190b5890521e3e93e7d"
is_byokfalse
latency294
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-1777066064-7mLonTGtwOq1KQTdXMqc"
session_id(null)
api_type"completions"
id"gen-1777066064-kxqQR0Gyfcwyw5aWgXz8"
upstream_id"resp_0fcd0f3656280be40169ebe0509b388190b5890521e3e93e7d"
total_cost0.01212
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
68.10% Matches word count n/a
neededCleanfalse
words214
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal214
wordsDialogue214
52.4451%