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Run: 2026-10-27-01M5YFCMG95JVZWV4RG1V0CXVK
Run Details
Model:
GPT-6.1 Terra (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
25.7s
Cost:
$0.011391
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.95%
Dialogue to Total Word Ratio
(details)
99.9744%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 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
Messages
Meta
AI
Molly spread the birthday invitation across the kitchen table while Bill pinned a photograph of the community center beneath a jar of pickles. Molly said: “We enter at two disguised as entertainers. You distract the parents with balloon animals while I locate the presents and quietly remove every single one.” Bill squinted at the photograph as though the building might confess its weaknesses if he stared hard enough. Finally he raised one eyebrow and said: “I can make exactly one balloon animal and it looks like a sausage that has seen something terrible. Will that be enough for them all?” Molly opened a notebook labeled OPERATIONS and revealed several pages of doodled hats, followed by a surprisingly detailed map of the party room. She said: “Probably. Children love sausages. The gifts are stacked beside the cake, behind a screen of folding chairs. We need a cart and impeccable timing, Bill.” Bill retrieved a toy shopping cart from under the table. It was pink, plastic, and considerably smaller than the jar of pickles. He said, apologetically: “The rental place wanted a deposit, so I borrowed this from my niece. She charged me two biscuits and warned me about the wobbly wheel.” Molly examined the cart. One wheel rotated freely; another appeared to be remembering a previous life as a compass. She made a note, then said: “We shall need multiple trips. First take anything small and expensive. Leave the enormous boxes until last; they usually contain socks, disappointment, or inflatable furniture.” Bill consulted the invitation. A smiling dinosaur announced that the birthday child was turning seven and specifically requested no gifts. Bill frowned and quietly said: “Molly, this says the guests should bring donations for the animal shelter instead. Are we planning to rob a collection of blankets intended for puppies?” Molly looked again at the invitation, then at her meticulous map. The map had taken three hours and included a compass rose. She eventually said: “Well, blankets are presents. But puppies are notoriously difficult to fence, morally speaking. Also, I don’t want the newspapers calling us the Blanket Bandits.” Bill opened the pickle jar, considered its contents, and closed it again. Outside, a dog barked with what seemed like pointed disapproval. Bill then said: “We could still infiltrate the party. Instead of stealing everything, we could deliver blankets, eat cake, and leave before anyone asks for balloon animals. Please.” Molly considered this betrayal of their professional principles. Then she crossed out STEAL on the map and wrote DONATE in red marker. She finally said: “Fine. But we do this properly. Disguises, synchronized watches, and an escape route in case someone asks us to supervise a game of musical chairs.” Bill placed two blankets into the tiny cart. Its rebellious wheel immediately detached and rolled beneath the refrigerator. He watched it go, then softly said: “We’ll need a new getaway vehicle. Also, my niece says the cart is due back by five, or she’ll break both of my remaining biscuits.”
created_at
"2026-10-27T10:44:40.082Z"
10/27/2026, 10:44:40 AM
model
"openai/gpt-6.1-terra-20261026"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
19484
moderation_latency
(null)
generation_time
25659
tokens_prompt
75
tokens_completion
799
native_tokens_prompt
66
native_tokens_completion
2265
native_tokens_completion_images
0
native_tokens_reasoning
1649
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
service_tier
"default"
usage
0.011391
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer
(null)
request_id
"req-1793097880-MiM750rnlgy52lcXkXIt"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1793097880-XN5YfJtGS5okIL3Go5mr"
upstream_id
"resp_093e2e898d813033016ae080982bf887d19a871032af542a27"
provider_responses
0
endpoint_id
"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id
"resp_093e2e898d813033016ae080982bf887d19a871032af542a27"
is_byok
false
latency
388
model_permaslug
"openai/gpt-6.1-terra-20261026"
provider_name
"OpenAI"
status
200
total_cost
0.011391
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
499
99.95%
Dialogue to Total Word Ratio
Ratio: 49.90%, Deviation: 0.10%
neededClean
false
wordsTotal
499
wordsDialogue
249
99.9744%