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Run: 2026-10-27-01M5YG465GJ5F93VDRQ2X5SNFZ
Run Details
Model:
GPT-6.1 Terra (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
13.4s
Cost:
$0.004576
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
95.99%
Matches word count
(details)
45.14%
Dialogue to Total Word Ratio
(details)
70.5658%
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 a crumpled party invitation across the café table. Bill placed a sugar bowl on each corner, although there was only one corner that needed holding down. “Saturday, two o’clock,” Molly said. “Twenty children, one bouncy castle, and a mountain of presents.” Bill peered at the invitation. “It says gifts are optional.” “Bill, it’s a child’s birthday. Nobody turns up empty-handed unless they enjoy being discussed in car parks.” “And we’re stealing all of them?” “Every last one.” He nodded slowly. “Have we considered that the children might be upset?” “Only the birthday girl gets presents.” “That’s a relief. Just the one upset child, then.” Molly tapped the address. “We enter through the garden gate, mingle with the parents, and leave with the presents before anyone notices.” “How do we mingle with parents?” “We talk about school parking and make tired noises.” “I can do tired noises.” Bill demonstrated three. “Excellent. The second one sounded particularly authentic.” A waitress brought their tea. Bill waited until she had gone before leaning closer. “What do we put the presents in?” “A large sack.” “Won’t a large sack look suspicious?” “Not if we’re dressed as entertainers.” Bill brightened. “Magicians?” “Exactly.” “I’ve always wanted to do magic.” He reached into his sleeve and produced a teaspoon. “Pick a card.” “That’s a spoon.” “I’m saving the cards for the finale.” Molly drew two stick figures on a napkin. “You create a distraction. I collect the presents. Then we stroll out.” “What sort of distraction?” “Something theatrical. A puff of smoke. A dramatic announcement.” “I could saw you in half.” “Not if you intend to stroll out with me afterward.” Bill studied the invitation again. “There’s already a magician booked.” Molly’s pencil stopped. “That complicates things.” “We could say we’re his assistants.” “What if he asks who we are?” “We say, ‘Your assistants.’” “He’ll know we’re lying.” “Not if he’s very disorganised.” Molly considered this. Outside, a bus hissed to a stop. A small boy pressed his face against its window and stuck out his tongue at Bill, who stuck his out in return. “Suppose,” Molly said, “we pretend to be the magician’s replacements. We arrive early, announce he’s been delayed, take the presents, and disappear.” Bill looked impressed. “You make it sound almost magical.” “Thank you.” “What do we do with the presents?” “Sell them.” “All of them?” “That is generally how stealing works.” He turned the invitation over. “There’s a list. Building blocks, a dinosaur puzzle, books about space.” “And?” “And I don’t think we’ll get much for books about space.” Molly took the invitation back. At the bottom, in cheerful purple letters, it said: PLEASE BRING AN UNWRAPPED GIFT FOR THE CHILDREN’S HOSPITAL. “Oh,” she said. “Perhaps,” Bill said, “we could still go as magicians.” “And steal what?” “The show.” Molly looked at him. He waggled the teaspoon. “Pick a card.” “Fine,” she said. “But I’m not being sawn in half for charity.” “Obviously. We’ll use the waitress.” The waitress appeared beside them with the bill. “You’ll use the door.”
created_at
"2026-10-27T10:57:31.834Z"
10/27/2026, 10:57:31 AM
model
"openai/gpt-6.1-terra-20261026"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3745
moderation_latency
(null)
generation_time
13335
tokens_prompt
75
tokens_completion
1047
native_tokens_prompt
66
native_tokens_completion
902
native_tokens_completion_images
0
native_tokens_reasoning
183
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
0.004576
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer
(null)
request_id
"req-1793098651-GXvwi0F42xn6cJLV7EO5"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1793098651-9kLuf0q2YuhfqATdBNyt"
upstream_id
"resp_09c37ffd69439a1b016ae0839bf73087d188428bee2a8cf033"
provider_responses
0
endpoint_id
"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id
"resp_09c37ffd69439a1b016ae0839bf73087d188428bee2a8cf033"
is_byok
false
latency
397
model_permaslug
"openai/gpt-6.1-terra-20261026"
provider_name
"OpenAI"
status
200
total_cost
0.004576
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
95.99%
Matches word count
n/a
neededClean
false
words
508
45.14%
Dialogue to Total Word Ratio
Ratio: 66.01%, Deviation: 3.99%
neededClean
false
wordsTotal
509
wordsDialogue
336
70.5658%