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Run: 2026-10-27-01M5YGR4ERFSD5MR40NQNGJV8Z
Run Details
Model:
GPT-6.1 Terra (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
19.2s
Cost:
$0.007831
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
9.61%
Matches word count
(details)
83.88%
Dialogue to Total Word Ratio
(details)
46.7441%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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 parked the borrowed ice cream van across from Poppy’s house, where a banner declared SIX IS A BIG DEAL. Through the front window, a tower of presents glittered like a rainbow trying to buy forgiveness. “Molly, the invitation says three o’clock. Why are we here at noon?” “To study the enemy, Bill. Also, the bakery next door opens at twelve.” Bill consulted the invitation, which Molly had retrieved from a puddle outside the school. The ink had run, making the address look like either fourteen Acacia Avenue or a drawing of a startled octopus. “Our enemy is a six-year-old named Poppy.” “Poppy has hired a magician. Never underestimate someone who pays for smoke.” Molly opened their planning folder. It contained a map of the garden, a list of possible escape routes, and a photograph of a dachshund wearing a tiny policeman’s helmet. Bill had insisted on including the photograph for morale. “I thought we were stealing one present, not all of them.” “One is theft. All of them is a logistical challenge with festive wrapping.” They watched a woman arrange paper plates on a table. A man emerged carrying a bowl of crisps and immediately ate several. Molly marked him on the map with a greasy thumbprint from her second doughnut. “What about the parents? They look alarmingly sober.” “We disguise ourselves as party entertainers. Nobody questions an adult carrying balloons.” Bill glanced at the costumes on the back seat. Molly had chosen a sequined waistcoat and a top hat. His outfit appeared to consist of enormous yellow trousers and a badge reading HELLO, I’M THE OTHER ONE. “I can’t juggle.” “Excellent. They’ll assume you’re the magician’s assistant.” Bill tried on the trousers. The waistband reached his armpits, and both legs could have accommodated additional Bills. He took a cautious step and vanished briefly behind the dashboard, accompanied by the sound of a horn. “How do we get the presents out?” “Inside the enormous cardboard cake. It has wheels and a very forgiving bottom.” The cake occupied most of the van. Molly had decorated it with pink icing made from expanding foam, which was probably not edible. A small plastic bride stood on top, staring grimly at the windscreen. “That cake says HAPPY BIRTHDAY, DAVE. Who’s Dave?” “The shop had a sale. We tell them Dave is the cake.” Bill considered this. Somewhere inside the house, a child shrieked with the joyful ferocity of a kettle learning to sing. The magician arrived, carrying a rabbit and the expression of a man who regretted every career decision. “And if Poppy catches us?” “We improvise. You’re very convincing when you’re terrified.” Molly picked up the balloons. Bill adjusted his trousers and climbed out after her. They rolled Dave across the street, leaving a trail of pink foam, while the rabbit watched them from the magician’s arms with professional suspicion.
created_at
"2026-10-27T11:08:25.442Z"
10/27/2026, 11:08:25 AM
model
"openai/gpt-6.1-terra-20261026"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4563
moderation_latency
(null)
generation_time
19194
tokens_prompt
75
tokens_completion
1140
native_tokens_prompt
66
native_tokens_completion
1553
native_tokens_completion_images
0
native_tokens_reasoning
945
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
0.007831
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer
(null)
request_id
"req-1793099305-ZQogY3EE9K751qj15EPP"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1793099305-MK6XbZj9OcYlgp6poqnF"
upstream_id
"resp_0d1e25c3008e3e0e016ae08629845487d1960fb9620158f047"
provider_responses
0
endpoint_id
"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id
"resp_0d1e25c3008e3e0e016ae08629845487d1960fb9620158f047"
is_byok
false
latency
545
model_permaslug
"openai/gpt-6.1-terra-20261026"
provider_name
"OpenAI"
status
200
total_cost
0.007831
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
9.61%
Matches word count
n/a
neededClean
false
words
478
83.88%
Dialogue to Total Word Ratio
Ratio: 31.87%, Deviation: 1.87%
neededClean
false
wordsTotal
480
wordsDialogue
153
46.7441%