Run: 2026-07-09-01KX3ZZQ1YWFVRM44BQ9BMBM03

Run Details

Duration:
13.1s
Cost:
$0.022545
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
66.12% Dialogue to Total Word Ratio (details)
83.0529% 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, remind me why we’re robbing a children’s party?” “Because adults hide jewelry in safes, Bill. Children leave treasure under a balloon arch.” “Treasure meaning plastic dinosaurs and socks with astronauts?” “Also cash from aunties who forgot how birthdays work.” “What’s our entry?” “Side gate at three. I bribed the clown.” “You bribed a clown?” “I offered him three hundred dollars.” “Did he take it?” “He asked for four hundred.” “Professional.” “Exactly. You climb the fence, disable the bouncy castle, and open the patio door.” “Why disable the bouncy castle?” “Because it’s an inflatable surveillance tower of witnesses.” “I hate witnesses.” “I respect their knees. They’re closer to weapons.” “What about the parents?” “Distract them with the magician’s grand finale.” “You hired the magician too?” “No. I replaced his rabbit with a smoke bomb.” “Is the rabbit okay?” “It’s in a taxi to Newark.” “Why Newark?” Bill checked the bag. “We have gift bags, a crowbar, and eighteen whistles.” “The whistles are for confusion.” “They’re children, Molly.” “Never underestimate organized confusion.” “What do we do with the presents afterward?” “Sort them. Keep electronics, fence bicycles, donate toys.” “And the socks?” “We wear them during the getaway.” “Matching?” “We’re taking the dinosaur ones.”
created_at"2026-07-09T17:49:38.247Z" 7/9/2026, 5:49:38 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency12538
moderation_latency(null)
generation_time12865
tokens_prompt77
tokens_completion407
native_tokens_prompt66
native_tokens_completion1492
native_tokens_completion_images0
native_tokens_reasoning1199
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"
usage0.022545
router(null)
provider_responses
0
endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_0e8eaacf9a09ab03016a4fdf32518c8197ab43478329386cfc"
is_byokfalse
latency219
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-1783619378-BwIUDUpNNTwK4eRP0fQ6"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619378-5yABpe0Wle76vCCcsC7S"
upstream_id"resp_0e8eaacf9a09ab03016a4fdf32518c8197ab43478329386cfc"
total_cost0.022545
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words202
66.12% Dialogue to Total Word Ratio
Ratio: 98.02%, Deviation: 8.02%
neededCleanfalse
wordsTotal202
wordsDialogue198
83.0529%