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Run: 2026-10-05-01M46B6D4EETGKK8QSH2G680ZB
Run Details
Model:
GPT-6.1 Sol (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
50.8s
Cost:
$0.021442
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 a dustbin lid with the solemnity of a general unveiling battle plans. Rain dripped from her hat directly onto the smiling cartoon giraffe. She regarded this as useful camouflage. “We are not robbing children, Bill. We are redistributing excessive wrapping paper and plastic dinosaurs.” Bill stood beside her wearing a white tracksuit, hooves fashioned from oven mitts, and a glittering horn. His expression suggested the last surviving member of a species that had made several unfortunate evolutionary choices recently. “That sounds like robbing children with a grant application. Also, why am I the unicorn?” Molly checked the invitation again. The party belonged to Oliver, aged seven, whose parents had hired entertainment, a magician, and apparently enough balloons to lift their mortgage. Nobody had hired a unicorn. This worried Bill. “Because you have the necessary height, tragic eyes, and absolutely no chance of passing inspection.” He adjusted his horn. It sagged over one eyebrow, giving him the appearance of a disappointed traffic cone. Across the street, shrieking children chased a man dressed as broccoli. Bill considered their priorities entirely sound. “My horn is crooked. Last time, your equipment specifications left me trapped inside a cake.” Molly produced a notebook headed OPERATION MANY HAPPY RETURNS. Below that, she had drawn a sack, an arrow, and herself reclining on a yacht. The yacht was optimistic. Their current transport was a borrowed wheelbarrow. “This time we mingle, locate the presents, and leave before anyone requests an emotional breakthrough.” Bill peered through the garden fence. The present table glittered beneath ribbons, but the birthday boy was handing packages to smaller children. One little girl hugged a box as though it contained her entire universe. “Children request ponies, Molly. Adults request emotional breakthroughs. You have confused birthdays with corporate retreats.” Her pencil paused above the yacht. She added a life jacket, then scratched it out. A grandmother appeared beside the table, carrying lemonade and wearing the unmistakable expression of someone who had defeated worse men. “Fine. We take every present. Except anything handmade. I maintain standards, despite what prosecutors suggest.” Bill straightened involuntarily. The grandmother turned toward the fence. Her gaze passed over Molly, then settled on the unicorn. For a terrible moment, even the broccoli seemed to stop suffering and await divine criminal judgment. “What about the grandmother? She looks capable of identifying criminals through three layers of upholstery.” Molly folded the invitation into smaller and smaller squares. Beyond the fence, Oliver waved at Bill with wholehearted delight, a gesture so ruinously trusting that Molly felt her magnificent yacht sink beneath an imaginary sea. “We abort if she notices us. Nobody gets hurt, especially me. My knees are sentimental.” Bill lifted the rabbit from their wheelbarrow. Molly took it, brushed rain from its ears, and marched toward the gate. Behind her, Bill followed reluctantly, wondering whether honest employment always required this much professional humiliation. “Excellent. Our first ethical robbery. Shall I start by returning this suspiciously judgmental stuffed rabbit?”
created_at
"2026-10-05T15:33:53.436Z"
10/5/2026, 3:33:53 PM
model
"openai/gpt-6.1-sol-20260929"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
8062
moderation_latency
(null)
generation_time
50722
tokens_prompt
75
tokens_completion
1262
native_tokens_prompt
66
native_tokens_completion
2131
native_tokens_completion_images
0
native_tokens_reasoning
1501
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
0.021442
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791214433-oy06rM0DzyhSjnmEeI55"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791214433-3y1L48rAQmb8ciEMCeYp"
upstream_id
"resp_0a1c7e013c8592c9016ac3c361945087d18f5b2792328fe545"
provider_responses
0
endpoint_id
"dfb9d5c3-63f9-4263-8b78-4fa97dcb3d5e"
id
"resp_0a1c7e013c8592c9016ac3c361945087d18f5b2792328fe545"
is_byok
false
latency
332
model_permaslug
"openai/gpt-6.1-sol-20260929"
provider_name
"OpenAI"
status
200
total_cost
0.021442
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%