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Run: 2026-09-23-01M37HX6K2M2PE8Z1D2N0J7HA8
Run Details
Model:
GPT-6 Sol (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
20.6s
Cost:
$0.014702
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
99.9997%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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 studied the birthday invitation beneath a flickering streetlamp outside. “Bill, the presents are inside, guarded by seven-year-olds with whistles.” Bill adjusted his bow tie, which squeaked upon being squeezed. “We enter disguised as entertainers; I perform surprisingly convincing magic.” Through the window, balloons bobbed above a formidable cake fortress. “Your last trick made my watch disappear into your stomach.” Molly inspected his pockets, then extracted a soggy playing card. “Fine. You distract everyone while I load the gift sacks.” Inside, someone shrieked with delight; both thieves flinched dramatically together. “Why would they trust us? You’re wearing burglar stripes again.” Bill looked down at his striped shirt and frowned dramatically. “These are zebra stripes. Children love zebras, especially musical ones.” He produced a kazoo, playing three catastrophic notes very loudly. “Stop. The birthday clown just spotted us through that window.” The clown waved, then revealed a police badge under sequins. “Relax, Molly. That’s my cousin. She hired us for cleanup.” Molly’s jaw dropped as Bill handed her two trash bags. “You said steal all the presents, not haul discarded wrapping.” A tiny guest opened the door, brandishing a cupcake threateningly. “Technically, nobody said which presents. Look, leftover party favors everywhere!”
created_at
"2026-09-23T16:34:44.46Z"
9/23/2026, 4:34:44 PM
model
"openai/gpt-6-sol-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
18444
moderation_latency
(null)
generation_time
20578
tokens_prompt
75
tokens_completion
364
native_tokens_prompt
66
native_tokens_completion
1457
native_tokens_completion_images
0
native_tokens_reasoning
1175
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
0.014702
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790181284-CKETvlOQzw7338LId2Cf"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790181284-wq5Cof43IoOoTsBn5uXU"
upstream_id
"resp_04514790e7c5753d016ab3ffa49a8487d1ac6f88eb34f7cc84"
provider_responses
0
endpoint_id
"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id
"resp_04514790e7c5753d016ab3ffa49a8487d1ac6f88eb34f7cc84"
is_byok
false
latency
2025
model_permaslug
"openai/gpt-6-sol-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.014702
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
200
100.00%
Dialogue to Total Word Ratio
Ratio: 50.50%, Deviation: 0.50%
neededClean
false
wordsTotal
202
wordsDialogue
102
99.9997%