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Run: 2026-10-27-01M5YJ9K2G3MA44GTM9NHB2HW1
Run Details
Model:
GPT-6.1 Terra (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
11.3s
Cost:
$0.003966
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
9.61%
Matches word count
(details)
0.01%
Dialogue to Total Word Ratio
(details)
4.8101%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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. A smiling dinosaur wore a party hat and clutched a balloon in each tiny hand. Bill regarded it as though it were a photograph of an armed guard. “Two o’clock,” Molly said. “The presents go on the dining-room table. We enter at two fifteen, when the children are distracted by the magician.” “You’re certain he’s a magician?” “The invitation says ‘Magic Dave.’” “Could be ironic. My uncle was called Skinny Pete, and he needed two bus seats.” Molly drew a rectangle on a napkin and labeled it HOUSE. Bill leaned closer, knocking over the sugar bowl. She added a second rectangle and labeled it BILL’S ELBOW. “The front door is our point of entry,” she said. “We’ll wear party hats and carry a large empty gift bag.” “Won’t an empty gift bag look suspicious?” “Not if you put tissue paper on top.” “That’s brilliant. It’s like a disguise for the bag.” “Exactly.” “Should we put a disguise on the tissue paper?” “No.” Bill considered this, then wrote TISSUE WIG? in his notebook and circled it. Outside, rain ticked against the window. Molly had spent three nights studying the family’s social media, which mostly consisted of photographs of a dachshund in seasonal clothing. She had learned the dog’s name, the parents’ names, and the precise location of the dining room. “The dog is called Pickles,” she said. “If he barks, you offer him a biscuit.” “What if he wants two?” “Give him two.” “What if he wants three?” “Bill.” “I’m establishing our maximum biscuit expenditure.” “Fine. Three.” Bill added DOG BUDGET to his notebook. Beneath it he wrote THREE BISCUITS, underlined it, and drew a tiny padlock. Molly waited while he admired his work. “Once we’re inside,” she said, “we fill the bag and leave through the back gate.” “How many presents are we talking?” “The invitation went to twelve families.” “That could be twelve presents.” “Yes.” “Or twenty-four, if they’ve got generous grandparents.” “Yes.” “Or one enormous present from everybody, like a pony.” “There won’t be a pony on the dining-room table.” “Not with that attitude.” Molly folded the napkin and tucked it into her coat. Bill picked up the invitation, squinting at the address. His expression changed from professional concern to something closer to indigestion. “Hang on,” he said. “Isn’t this your sister’s house?” “Yes.” “And isn’t the birthday boy your nephew?” “Yes.” “And didn’t you tell me he’d invited you?” “He invited both of us.” Bill looked at the empty gift bag. Molly looked at the ceiling. A drop of rain found its way through the window frame and landed on Bill’s notebook. “So why are we stealing his presents?” he asked. “Because I forgot to buy one.” “We could buy one now.” “The party’s tomorrow. Everything good will be gone.” “We could give him money.” “He’s six. He’d eat it.” Bill thought for a moment. Then he pushed the invitation back across the table and closed his notebook. “What if we give him the presents we steal?” “That’s just attending the party.” “Right. But we’ll know how difficult it was.”
created_at
"2026-10-27T11:35:26.043Z"
10/27/2026, 11:35:26 AM
model
"openai/gpt-6.1-terra-20261026"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2315
moderation_latency
(null)
generation_time
11249
tokens_prompt
75
tokens_completion
1016
native_tokens_prompt
66
native_tokens_completion
780
native_tokens_completion_images
0
native_tokens_reasoning
74
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
0.003966
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer
(null)
request_id
"req-1793100926-EgzLeVa4T1RX2DPLJu6O"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1793100926-tGtIjmpoaO7dideMSHwe"
upstream_id
"resp_0be8461a00918792016ae08c7e229c87d1bbcce59d59a04908"
provider_responses
0
endpoint_id
"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id
"resp_0be8461a00918792016ae08c7e229c87d1bbcce59d59a04908"
is_byok
false
latency
383
model_permaslug
"openai/gpt-6.1-terra-20261026"
provider_name
"OpenAI"
status
200
total_cost
0.003966
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
522
0.01%
Dialogue to Total Word Ratio
Ratio: 56.57%, Deviation: 13.43%
neededClean
false
wordsTotal
525
wordsDialogue
297
4.8101%