Run: 2026-07-09-01KX412WEB56CA3J8C11H083FV

Run Details

Duration:
19.7s
Cost:
$0.034800
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9995% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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
Rain polished the alley behind the community hall, where balloons bobbed like nervous witnesses. Molly studied the fire exit, wearing a caterer's apron and a grin sharp enough to open envelopes. Bill crouched beside boxes labeled MAGICIAN'S SUPPLIES, containing rope, a crowbar, and one judgmental ferret. Inside, children shrieked around a pirate-themed cake. A clown tested his trumpet, sounding like a haunted goose. Molly unfolded the floor plan. Their target was the present table: a glittering mountain of dolls, robots, and expensive scooters. Beyond the door, parents chatted, distracted by cake and coffee. Molly tapped her watch. Bill swallowed. “You take the scooters; I take the robots. We meet by the bouncy castle.” “What about the dolls?” “Dolls squeak. Scooters roll. We favor silence, speed, and merchandise with resale value.” “These are children’s presents, Molly.” “Exactly. Adults buy them, children abandon them, and we liberate them before gratitude becomes sticky.” “I dislike the word liberate.” “Fine. We borrow them indefinitely, from people too young to file paperwork.” “And the clown?” “Your ferret handles him.” “Nibbles is an artist, not muscle.” “Then let art happen.” “If anyone cries, I am blaming you.” “If anyone claps, we take an encore.” “Deal.”
created_at"2026-07-09T18:08:50.642Z" 7/9/2026, 6:08:50 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4931
moderation_latency(null)
generation_time18988
tokens_prompt77
tokens_completion729
native_tokens_prompt66
native_tokens_completion2309
native_tokens_completion_images0
native_tokens_reasoning2022
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"
service_tier"default"
usage0.0348
router(null)
provider_responses
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endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_05021a5a43f70dc1016a4fe3b2c924819394b1e005adfa0d86"
is_byokfalse
latency212
model_permaslug"openai/gpt-5.6-terra-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620530-sD20FryZ33Q04WNksDPw"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620530-ZvnnB3Cjf0VUek3Ys2Of"
upstream_id"resp_05021a5a43f70dc1016a4fe3b2c924819394b1e005adfa0d86"
total_cost0.0348
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words199
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
99.9995%