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Run: 2026-10-05-01M46B2HJHE55G4F17S96Q32GJ
Run Details
Model:
GPT-6.1 Sol (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
47.4s
Cost:
$0.020922
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
100.0000%
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 spread the birthday invitation across their kitchen table with the solemnity of a general unveiling invasion plans. Bill moved his cereal bowl aside. A marshmallow unicorn floated helplessly in the remaining milk beside him. “Saturday afternoon. Twenty children, one magician, and a mountain of presents. We take every package.” Bill studied the invitation. Its glittery lettering announced that Oliver was turning seven, which seemed young for someone already possessing a fountain in his driveway. Bill had turned forty beside a malfunctioning vending machine yesterday. “Define every. Because last time you said everything, I carried home a decorative toilet brush.” Molly tapped a photograph of the house. Pink balloons bobbed above its gates, and an inflatable castle occupied most of the lawn. Their entire criminal enterprise depended on looking less suspicious than a bouncy fortress. “We arrive disguised as entertainment. You juggle. I perform magic. The presents disappear. Everyone applauds.” He looked down at his hands, which had recently failed to coordinate the opening of a yogurt. Molly produced three oranges anyway. One rolled immediately under the refrigerator, establishing an early lead over his confidence. “I cannot juggle, Molly. My only trick is making employers regret giving me a chance.” She crossed juggling off her notebook and wrote clown. Bill stared at the word as though it were a prison sentence. Outside, somebody practiced trumpet scales badly enough to qualify as a competing criminal operation. “Fine. You make balloon animals. Children love balloon animals, especially ones suggesting recently discovered diseases.” Bill inflated a long blue balloon, twisted it twice, and created something resembling an embarrassed intestine. Molly examined it from several angles. Neither could identify a front end without making assumptions about forbidden medical research. “That is a dolphin. Before you object, it has endured considerable hardship and deserves privacy.” Their escape vehicle waited downstairs: a borrowed ice cream van with one working headlight and a freezer full of disappointing peas. Molly imagined stacking gifts inside. Bill imagined children pursuing them with alarming moral clarity. “What happens when Oliver cries? I can handle guards, but disappointed children feel legally heavier.” Molly stopped drawing arrows. She had pictured glittery boxes, expensive gadgets, and rent paid early. She had not pictured a small boy discovering that his birthday had been professionally ruined by two underqualified circus employees. “We could steal only the boring presents. Socks. Educational puzzles. Anything labeled character building fun.” Bill shook his head and lifted the invitation again. Beneath the glitter, tiny print advertised paid entertainment positions. Neither thief spoke for several seconds. Honest employment had entered the room without even picking the lock. “They pay entertainers three hundred pounds. Each. That's more than stolen socks usually fetch wholesale.” Molly turned the notebook over and began a fresh plan. Bill retrieved the escaped orange. By lunchtime, their balloon dolphin had become a dog, although only through additional hardship. The presents remained theoretically in danger. “We'll still take everything. Our wages, leftover cake, and whatever dignity survives until Saturday evening.”
created_at
"2026-10-05T15:31:47.095Z"
10/5/2026, 3:31:47 PM
model
"openai/gpt-6.1-sol-20260929"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
10163
moderation_latency
(null)
generation_time
47131
tokens_prompt
75
tokens_completion
1147
native_tokens_prompt
66
native_tokens_completion
2079
native_tokens_completion_images
0
native_tokens_reasoning
1469
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
0.020922
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791214307-BDt32FU4NbL7oL50YsjW"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791214307-ymIJKdvJpqu238TYWDYX"
upstream_id
"resp_0aa96683f060c439016ac3c2e3460487d1945a8981852cdcce"
provider_responses
0
endpoint_id
"dfb9d5c3-63f9-4263-8b78-4fa97dcb3d5e"
id
"resp_0aa96683f060c439016ac3c2e3460487d1945a8981852cdcce"
is_byok
false
latency
316
model_permaslug
"openai/gpt-6.1-sol-20260929"
provider_name
"OpenAI"
status
200
total_cost
0.020922
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
500
100.00%
Dialogue to Total Word Ratio
Ratio: 30.00%, Deviation: 0.00%
neededClean
false
wordsTotal
500
wordsDialogue
150
100.0000%